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description Publicationkeyboard_double_arrow_right Article 2021Publisher:Lexxion Verlag Funded by:EC | LAST-JD-RIoEEC| LAST-JD-RIoEAuthors: Chiara, P.G.;Chiara, P.G.;European Data Protec... arrow_drop_down European Data Protection Law ReviewOther literature type . Article . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21552/edpl/2021/1/6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert European Data Protec... arrow_drop_down European Data Protection Law ReviewOther literature type . Article . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21552/edpl/2021/1/6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Elsevier BV Haoran Yang; Guillaume Burghouwt; Jiaoe Wang; T. Boonekamp; Martin Dijst;pmid: 32287520
pmc: PMC7112375
The High-speed Railway (HSR) network in China is the largest in the world, competing intensively with airlines for inter-city travel. Panel data from 2007 to 2013 for 138 routes with HSR-air competition were used to identify the ex-post impacts of the entry of HSR services, the duration of operating HSR services since entry, and the specific impacts of HSR transportation variables such as travel time, frequency, and ticket fares on air passenger flows in China. The findings show that the entry of new HSR services in general leads to a 27% reduction in air travel demand. After two years of operating HSR services, however, the negative impact of HSR services on air passenger flows tends to further increase. The variations of the frequency in the temporal dimension and the travel time in the spatial dimension significantly affect air passenger flows. Neither in the temporal nor spatial dimensions are HSR fares strongly related to air passenger flows in China, due to the government regulation of HSR ticket prices during the period of analysis. The impacts of different transportation variables found in this paper are valuable to consider by operational HSR companies in terms of scheduling and planning of new routes to increase their competitiveness relative to airlines. Highlights • The paper is the first to identify the ex-post impacts of HSR on air transport in such a large scale and a long period. • The paper employs within-between models to specify how HSR transportation are interacted with air travel demand in temporal and spatial dimensions. • Impacts of different transportation variables found here are valuable to HSR companies and airlines.
Applied Geography arrow_drop_down Applied GeographyArticle . 2018Full-Text: http://europepmc.org/articles/PMC7112375Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apgeog.2018.05.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert Applied Geography arrow_drop_down Applied GeographyArticle . 2018Full-Text: http://europepmc.org/articles/PMC7112375Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apgeog.2018.05.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Doctoral thesis 2020 Luxembourg EnglishPublisher:University of Luxembourg, Luxembourg Authors: Kolbe, Niklas;Kolbe, Niklas;The vision of the Internet of Things (IoT) promises novel, intelligent applications to improve services across all industries and domains. Efficient data and service discovery are crucial to unfold the potential value of cross-domain IoT applications. Today, the Web is the primary enabler for integrating data from distributed networks, with more and more sensors and IoT gateways connected to the Web. However, semantic data models, standards and vocabularies used by IoT vendors and service providers are highly heterogeneous, which makes data discovery and integration a challenging task. Industrial and academic research initiatives increasingly rely on Semantic Web technologies to tackle this challenge. Ongoing research efforts emphasize the development of formal ontologies for the description of Things, sensor networks, IoT services and domain-dependent observations to annotate and link data on the Web. Within this context, there is a research gap in investigating and proposing ontology recommendation approaches that foster the reuse of most suitable ontologies relevant to semantically annotate IoT data sources. Improved ontology reuse in the IoT enhances semantic interoperability and thus facilitates the development of more intelligent and context-aware systems. In this dissertation, we show that ontology recommendation can form a key building block to achieve this consensus in the IoT. In particular, we consider large-scale IoT systems, also referred to as IoT ecosystems, in which a wide range of stakeholders and service providers have to cooperate. In such ecosystems, semantic interoperability can only be efficiently achieved when a high degree of consensus on relevant ontologies among data providers and consumers exists. This dissertation includes the following contributions. First, we conceptualize the task of ontology recommendation and evaluate existing approaches with regard to IoT ecosystem requirements. We identify several limitations in ontology recommendation, especially concerning the IoT, which motivates the main focus on ontology ranking in this dissertation. Second, we subsequently propose a novel approach to ontology ranking that offers a fairer scoring of ontologies if their popularity is unknown and thus helps in providing a better recommendation in the current state of the IoT. We employ a `learning to rank' approach to show that qualitative ranking features can improve the ranking performance and potentially substitute an explicit popularity feature. Third, we propose a novel ontology ranking evaluation benchmark to address the lack of comparison studies for ontology ranking approaches as a general issue in the Semantic Web. We develop a large, representative evaluation dataset that we derive from the collected user click logs of the Linked Open Vocabularies (LOV) platform. It is the first dataset of its kind that is capable of comparing learned ontology ranking models as proposed in the literature under real-world constraints. Fourth, we present an IoT ecosystem application to support data providers in semantically annotating IoT data streams with integrated ontology term recommendation and perform an evaluation based on a smart parking use case. In summary, this dissertation presents the advancements of the state-of-the-art in the design of ontology recommendation and its role for establishing and maintaining semantic interoperability in highly heterogeneous and evolving ecosystems of inter-related IoT services. Our experiments show that ontology ranking features that are well designed with regard to the underlying ontology collection and respective user behavior can significantly improve the ranking quality and, thus, the overall recommendation capabilities of related tools.
Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgDoctoral thesis . 2020Data sources: Open Repository and Bibliography - LuxembourgAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2658::609dead61a8b1934687f0f7fbe755813&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgDoctoral thesis . 2020Data sources: Open Repository and Bibliography - LuxembourgAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2658::609dead61a8b1934687f0f7fbe755813&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Germany, FinlandPublisher:Pensoft Publishers Funded by:EC | ICEDIGEC| ICEDIGDillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah;Background More and more herbaria are digitising their collections. Images of specimens are made available online to facilitate access to them and allow extraction of information from them. Transcription of the data written on specimens is critical for general discoverability and enables incorporation into large aggregated research datasets. Different methods, such as crowdsourcing and artificial intelligence, are being developed to optimise transcription, but herbarium specimens pose difficulties in data extraction for many reasons. New information To provide developers of transcription methods with a means of optimisation, we have compiled a benchmark dataset of 1,800 herbarium specimen images with corresponding transcribed data. These images originate from nine different collections and include specimens that reflect the multiple potential obstacles that transcription methods may encounter, such as differences in language, text format (printed or handwritten), specimen age and nomenclatural type status. We are making these specimens available with a Creative Commons Zero licence waiver and with permanent online storage of the data. By doing this, we are minimising the obstacles to the use of these images for transcription training. This benchmark dataset of images may also be used where a defined and documented set of herbarium specimens is needed, such as for the extraction of morphological traits, handwriting recognition and colour analysis of specimens. Non peer reviewed
ZENODO; Biodiversity... arrow_drop_down ZENODO; Biodiversity Data JournalArticle . Data Paper . 2019License: CC BYFull-Text: https://doi.org/10.3897/BDJ.7.e31817Biodiversity Data JournalArticle . 2019Full-Text: http://europepmc.org/articles/PMC6396854Data sources: PubMed CentralRefubium - Repositorium der Freien Universität BerlinOther literature type . 2019License: CC BYData sources: Refubium - Repositorium der Freien Universität BerlinHELDA - Digital Repository of the University of HelsinkiArticle . 2019Data sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3897/bdj.7.e31817&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 31visibility views 31 download downloads 69 Powered bymore_vert ZENODO; Biodiversity... arrow_drop_down ZENODO; Biodiversity Data JournalArticle . Data Paper . 2019License: CC BYFull-Text: https://doi.org/10.3897/BDJ.7.e31817Biodiversity Data JournalArticle . 2019Full-Text: http://europepmc.org/articles/PMC6396854Data sources: PubMed CentralRefubium - Repositorium der Freien Universität BerlinOther literature type . 2019License: CC BYData sources: Refubium - Repositorium der Freien Universität BerlinHELDA - Digital Repository of the University of HelsinkiArticle . 2019Data sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3897/bdj.7.e31817&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017 France, Qatar, France, Finland, LuxembourgPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | bIoTopeEC| bIoTopeSylvain Kubler; Jeremy Robert; Ahmed Hefnawy; Kary Framling; Chantal Cherifi; Abdelaziz Bouras;handle: 10576/41741
By connecting devices, people, vehicles and infrastructures everywhere in a city, governments and their partners can improve community wellbeing and other economic and financial aspects (e.g., cost and energy savings). Nonetheless, smart cities are complex ecosystems that comprise many different stakeholders (network operators, managed service providers, logistic centers. . . ) who must work together to provide the best services and unlock the commercial potential of the so-called IoT. This is one of the major challenges that faces today’s smart city movement, and the emerging “API economy”. Indeed, while new smart connected objects hit the market every day, they mostly feed “vertical silos” (e.g., vertical apps, siloed apps. . . ) that are closed to the rest of the IoT, thus hampering developers to produce new added value across multiple platforms and/or application domains. Within this context, the contribution of this paper is twofold: (i) present the strategic vision and ambition of the EU to overcome this critical vertical silos’ issue; (ii) introduce the first building blocks underlying an open IoT ecosystem developed as part of an EU (Horizon 2020) projet and a joint project initiative (IoT-EPI). The practicability of this ecosystem, along with a performance analysis, are carried out considering a proof-of-concept for enhanced sporting event management in the context of the forthcoming FIFA World Cup 2022 in Qatar. International audience
Mémoires en Sciences... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2017 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE AccessOther literature type . Article . 2017 . Peer-reviewedOpen Repository and Bibliography - LuxembourgArticle . 2017Data sources: Open Repository and Bibliography - LuxembourgQatar University Institutional RepositoryArticle . 2017Data sources: Qatar University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2017.2692247&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2017 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE AccessOther literature type . Article . 2017 . Peer-reviewedOpen Repository and Bibliography - LuxembourgArticle . 2017Data sources: Open Repository and Bibliography - LuxembourgQatar University Institutional RepositoryArticle . 2017Data sources: Qatar University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2017.2692247&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 LuxembourgPublisher:Elsevier BV Funded by:NSF | Collaborative Research: E..., NSF | Collaborative Research: E...NSF| Collaborative Research: EarthScope Facility Operation and Maintenance (FY2008-FY2013) (PBO/SAFOD) ,NSF| Collaborative Research: EarthScope-Acquisition, Construction, Facility Management, Operations and Maintenance/Plate Boundary Observatory (PBO)Authors: Tabibi, Sajad; Nievinski, Felipe G.; van Dam, Tonie; Monico, João F. G.;Tabibi, Sajad; Nievinski, Felipe G.; van Dam, Tonie; Monico, João F. G.;Abstract Global Positioning System (GPS) signal-to-noise ratio (SNR) measurements can be employed to retrieve environmental variables in multipath reception conditions, whereby direct or line-of-sight transmission is received simultaneously with coherent reflections thereof. Previous GPS SNR multipath studies of soil moisture and snow depth have focused on the legacy GPS L1 and L2 bands. In the present paper, short-delay, near-grazing incidence multipath from the L5-band GPS SNR is assessed for its value in detecting soil moisture and snow depth. The L5 signal will become more important in the future because of compatibility and interoperability among the different global satellite navigation systems. The L5 results are compared with L2C estimates to determine whether the L2C–L5 differences (given their differing power budgets and their modulation properties) are significant. To address these questions, measurements and simulations were employed. A physically-based multipath simulator was enhanced to investigate the differences between parameter retrievals for the L2C and the L5 GPS signals. Parameter retrievals from synthetic observations for different scenarios were compared. Comparisons included varying reflector height, surface material, and surface roughness. Measurements from two GPS stations in Colorado, USA, were used to retrieve soil moisture and snow depth conditions. Over a 153-day period that encompassed the catastrophic 2013 Colorado flooding event, L2-derived volumetric soil moisture had an RMS difference of 0.042 cm3/cm3 while the L5 RMS difference was 0.034 cm3/cm3 with respect to in-situ data (values of volumetric soil moisture range between 0.04 and 0.34 cm3/cm3). In a separate 483-day campaign, L5-derived snow depth estimates were compared to L2C-derived values and found strongly correlated, deviating from a one-to-one relationship by only 0.00001 ± 0.0064 cm/cm. These results indicate the absence of any detectable biases in L5 as compared to L2C for retrieving soil moisture and snow depth from GPS SNR multipath observations.
Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgArticle . 2015Data sources: Open Repository and Bibliography - LuxembourgAdvances in Space ResearchArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asr.2014.11.019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 53 citations 53 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgArticle . 2015Data sources: Open Repository and Bibliography - LuxembourgAdvances in Space ResearchArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asr.2014.11.019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017Authors: Tobias Storch; Martin Schlerf; Rebecca Retzlaff;Tobias Storch; Martin Schlerf; Rebecca Retzlaff;doi: 10.3390/s17071542
This paper describes the concept of the hyperspectral Earth-observing thermal infrared (TIR) satellite mission HiTeSEM (High-resolution Temperature and Spectral Emissivity Mapping). The scientific goal is to measure specific key variables from the biosphere, hydrosphere, pedosphere, and geosphere related to two global problems of significant societal relevance: food security and human health. The key variables comprise land and sea surface radiation temperature and emissivity, surface moisture, thermal inertia, evapotranspiration, soil minerals and grain size components, soil organic carbon, plant physiological variables, and heat fluxes. The retrieval of this information requires a TIR imaging system with adequate spatial and spectral resolutions and with day-night following observation capability. Another challenge is the monitoring of temporally high dynamic features like energy fluxes, which require adequate revisit time. The suggested solution is a sensor pointing concept to allow high revisit times for selected target regions (1-5 days at off-nadir). At the same time, global observations in the nadir direction are guaranteed with a lower temporal repeat cycle (>1 month). To account for the demand of a high spatial resolution for complex targets, it is suggested to combine in one optic (1) a hyperspectral TIR system with ~75 bands at 7.2-12.5 µm (instrument NEDT 0.05 K-0.1 K) and a ground sampling distance (GSD) of 60 m, and (2) a panchromatic high-resolution TIR-imager with two channels (8.0-10.25 µm and 10.25-12.5 µm) and a GSD of 20 m. The identified science case requires a good correlation of the instrument orbit with Sentinel-2 (maximum delay of 1-3 days) to combine data from the visible and near infrared (VNIR), the shortwave infrared (SWIR) and TIR spectral regions and to refine parameter retrieval.
Sensors; OpenAPC Glo... arrow_drop_down Sensors; OpenAPC Global InitiativeArticle . Conference object . 2017 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s17071542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Sensors; OpenAPC Glo... arrow_drop_down Sensors; OpenAPC Global InitiativeArticle . Conference object . 2017 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s17071542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 LuxembourgPublisher:MDPI AG Authors: Julia Ros-Cuéllar; Luciana Porter-Bolland; Martha Bonilla-Moheno;Julia Ros-Cuéllar; Luciana Porter-Bolland; Martha Bonilla-Moheno;doi: 10.3390/land8010006
Protected Areas (PA) are the main strategy for nature conservation. However, PA are not always efficient for ecological conservation and social wellbeing. A possible alternative for conservation in human-dominated landscapes are Multifunctional Landscapes (ML), which allow the coexistence of multiple objectives, such as nature conservation and resource use. Using the activity system framework, we analyzed whether the ML concept was an operative alternative to PA within an area of interest for conservation in Veracruz, Mexico. Activity systems refer to the set of productive strategies that result from the mobilization of resources and which, within particular environmental governance contexts, shape the landscape. To understand the challenges and opportunities of our case study, we: (1) delimited the landscape according to local conservation interests and (2) analyzed the role of stakeholders in shaping this landscape. The delimited landscape included areas considered wildlife reservoirs and water provisioning zones. Our results suggested that the existence of local conservation areas (private and communal), combined with shaded-coffee agroforestry practices, made this region an example of ML. Although local conservation initiatives are perceived as more legitimate than top-down approaches, agreements amongst stakeholders are essential to strengthen environmental governance. In specific socio-ecological contexts, ML can be effective strategies for conservation through agroecosystems that maintain a high-quality landscape matrix, allowing nature preservation and delivering economic benefits.
Land arrow_drop_down LandOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/8/1/6/pdfOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Land arrow_drop_down LandOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/8/1/6/pdfOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 France, NetherlandsPublisher:Wiley Inoue, Y.; Guérif, M.; Baret, F.; Skidmore, A.K.; Gitelson, A.A.; Schlerf, M.; Darvishzadeh, R.; Olioso, A.;doi: 10.1111/pce.12815
pmid: 27650474
AbstractCanopy chlorophyll content (CCC) is an essential ecophysiological variable for photosynthetic functioning. Remote sensing of CCC is vital for a wide range of ecological and agricultural applications. The objectives of this study were to explore simple and robust algorithms for spectral assessment of CCC. Hyperspectral datasets for six vegetation types (rice, wheat, corn, soybean, sugar beet and natural grass) acquired in four locations (Japan, France, Italy and USA) were analysed. To explore the best predictive model, spectral index approaches using the entire wavebands and multivariable regression approaches were employed. The comprehensive analysis elucidated the accuracy, linearity, sensitivity and applicability of various spectral models. Multivariable regression models using many wavebands proved inferior in applicability to different datasets. A simple model using the ratio spectral index (RSI; R815, R704) with the reflectance at 815 and 704 nm showed the highest accuracy and applicability. Simulation analysis using a physically based reflectance model suggested the biophysical soundness of the results. The model would work as a robust algorithm for canopy‐chlorophyll‐metre and/or remote sensing of CCC in ecosystem and regional scales. The predictive‐ability maps using hyperspectral data allow not only evaluation of the relative significance of wavebands in various sensors but also selection of the optimal wavelengths and effective bandwidths.
NARCIS; Plant Cell &... arrow_drop_down NARCIS; Plant Cell & EnvironmentArticle . 2016Plant Cell & EnvironmentArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 101 citations 101 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert NARCIS; Plant Cell &... arrow_drop_down NARCIS; Plant Cell & EnvironmentArticle . 2016Plant Cell & EnvironmentArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2020 Spain, LuxembourgPublisher:IEEE Authors: Merlano-Duncan, Juan Carlos; Querol Borràs, Jorge; Martínez Marrero, Liz; Krivochiza, Jevgenij; +3 AuthorsMerlano-Duncan, Juan Carlos; Querol Borràs, Jorge; Martínez Marrero, Liz; Krivochiza, Jevgenij; Camps Carmona, Adriano José; Chatzinotas, Simeon; Ottersten, Bjorn;handle: 2117/359093
Remote Sensing from distributed platforms has become attractive for the community in the last years. Phase, frequency, and time synchronization are a crucial requirement for many such applications as multi-static remote sensing and also for distributed beamforming for communications. The literature on the field is extensive, and in some cases, the requirements an complexity of the proposed synchronization solution may surpass the ones set by the application itself. Moreover, the synchronization solution becomes even more challenging when the nodes are flying or hovering on aerial or space platforms. In this work, we discuss the synchronization considerations for the implementation of distributed remote sensing applications. The general framework considered is based on a distributed collection of autonomous nodes that synchronize their clocks with a common reference using inter-satellite links. For this purpose, we implement a synchronization link between two nodes operating in a full-duplex fashion. The experimental testbed uses commercially available SDR platforms to emulate two satellites, two targets, and the communication channel. The proposal is evaluated considering phase and frequency errors for different system parameters. This work was supported by the Fond National de la Recherche Luxembourg, under the CORE project COHESAT: Cognitive Cohesive Networks of Distributed Units for Active and Passive Space Applications. Peer Reviewed
https://upcommons.up... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2020 . Peer-reviewedLicense: IEEE CopyrightUPCommons. Portal del coneixement obert de la UPCConference object . 2020Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTAConference object . 2020 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAOpen Repository and Bibliography - LuxembourgConference object . 2020Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 73 Powered bymore_vert https://upcommons.up... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2020 . Peer-reviewedLicense: IEEE CopyrightUPCommons. Portal del coneixement obert de la UPCConference object . 2020Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTAConference object . 2020 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAOpen Repository and Bibliography - LuxembourgConference object . 2020Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2021Publisher:Lexxion Verlag Funded by:EC | LAST-JD-RIoEEC| LAST-JD-RIoEAuthors: Chiara, P.G.;Chiara, P.G.;European Data Protec... arrow_drop_down European Data Protection Law ReviewOther literature type . Article . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert European Data Protec... arrow_drop_down European Data Protection Law ReviewOther literature type . Article . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 NetherlandsPublisher:Elsevier BV Haoran Yang; Guillaume Burghouwt; Jiaoe Wang; T. Boonekamp; Martin Dijst;pmid: 32287520
pmc: PMC7112375
The High-speed Railway (HSR) network in China is the largest in the world, competing intensively with airlines for inter-city travel. Panel data from 2007 to 2013 for 138 routes with HSR-air competition were used to identify the ex-post impacts of the entry of HSR services, the duration of operating HSR services since entry, and the specific impacts of HSR transportation variables such as travel time, frequency, and ticket fares on air passenger flows in China. The findings show that the entry of new HSR services in general leads to a 27% reduction in air travel demand. After two years of operating HSR services, however, the negative impact of HSR services on air passenger flows tends to further increase. The variations of the frequency in the temporal dimension and the travel time in the spatial dimension significantly affect air passenger flows. Neither in the temporal nor spatial dimensions are HSR fares strongly related to air passenger flows in China, due to the government regulation of HSR ticket prices during the period of analysis. The impacts of different transportation variables found in this paper are valuable to consider by operational HSR companies in terms of scheduling and planning of new routes to increase their competitiveness relative to airlines. Highlights • The paper is the first to identify the ex-post impacts of HSR on air transport in such a large scale and a long period. • The paper employs within-between models to specify how HSR transportation are interacted with air travel demand in temporal and spatial dimensions. • Impacts of different transportation variables found here are valuable to HSR companies and airlines.
Applied Geography arrow_drop_down Applied GeographyArticle . 2018Full-Text: http://europepmc.org/articles/PMC7112375Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert Applied Geography arrow_drop_down Applied GeographyArticle . 2018Full-Text: http://europepmc.org/articles/PMC7112375Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Doctoral thesis 2020 Luxembourg EnglishPublisher:University of Luxembourg, Luxembourg Authors: Kolbe, Niklas;Kolbe, Niklas;The vision of the Internet of Things (IoT) promises novel, intelligent applications to improve services across all industries and domains. Efficient data and service discovery are crucial to unfold the potential value of cross-domain IoT applications. Today, the Web is the primary enabler for integrating data from distributed networks, with more and more sensors and IoT gateways connected to the Web. However, semantic data models, standards and vocabularies used by IoT vendors and service providers are highly heterogeneous, which makes data discovery and integration a challenging task. Industrial and academic research initiatives increasingly rely on Semantic Web technologies to tackle this challenge. Ongoing research efforts emphasize the development of formal ontologies for the description of Things, sensor networks, IoT services and domain-dependent observations to annotate and link data on the Web. Within this context, there is a research gap in investigating and proposing ontology recommendation approaches that foster the reuse of most suitable ontologies relevant to semantically annotate IoT data sources. Improved ontology reuse in the IoT enhances semantic interoperability and thus facilitates the development of more intelligent and context-aware systems. In this dissertation, we show that ontology recommendation can form a key building block to achieve this consensus in the IoT. In particular, we consider large-scale IoT systems, also referred to as IoT ecosystems, in which a wide range of stakeholders and service providers have to cooperate. In such ecosystems, semantic interoperability can only be efficiently achieved when a high degree of consensus on relevant ontologies among data providers and consumers exists. This dissertation includes the following contributions. First, we conceptualize the task of ontology recommendation and evaluate existing approaches with regard to IoT ecosystem requirements. We identify several limitations in ontology recommendation, especially concerning the IoT, which motivates the main focus on ontology ranking in this dissertation. Second, we subsequently propose a novel approach to ontology ranking that offers a fairer scoring of ontologies if their popularity is unknown and thus helps in providing a better recommendation in the current state of the IoT. We employ a `learning to rank' approach to show that qualitative ranking features can improve the ranking performance and potentially substitute an explicit popularity feature. Third, we propose a novel ontology ranking evaluation benchmark to address the lack of comparison studies for ontology ranking approaches as a general issue in the Semantic Web. We develop a large, representative evaluation dataset that we derive from the collected user click logs of the Linked Open Vocabularies (LOV) platform. It is the first dataset of its kind that is capable of comparing learned ontology ranking models as proposed in the literature under real-world constraints. Fourth, we present an IoT ecosystem application to support data providers in semantically annotating IoT data streams with integrated ontology term recommendation and perform an evaluation based on a smart parking use case. In summary, this dissertation presents the advancements of the state-of-the-art in the design of ontology recommendation and its role for establishing and maintaining semantic interoperability in highly heterogeneous and evolving ecosystems of inter-related IoT services. Our experiments show that ontology ranking features that are well designed with regard to the underlying ontology collection and respective user behavior can significantly improve the ranking quality and, thus, the overall recommendation capabilities of related tools.
Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgDoctoral thesis . 2020Data sources: Open Repository and Bibliography - LuxembourgAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2658::609dead61a8b1934687f0f7fbe755813&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgDoctoral thesis . 2020Data sources: Open Repository and Bibliography - LuxembourgAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2658::609dead61a8b1934687f0f7fbe755813&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Germany, FinlandPublisher:Pensoft Publishers Funded by:EC | ICEDIGEC| ICEDIGDillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah; Dillen, Mathias; Groom, Quentin; Chagnoux, Simon; Güntsch, Anton; Hardisty, Alex; Haston, Elspeth; Livermore, Laurence; Runnel, Veljo; Schulman, Leif; Willemse, Luc; Wu, Zhengzhe; Phillips, Sarah;Background More and more herbaria are digitising their collections. Images of specimens are made available online to facilitate access to them and allow extraction of information from them. Transcription of the data written on specimens is critical for general discoverability and enables incorporation into large aggregated research datasets. Different methods, such as crowdsourcing and artificial intelligence, are being developed to optimise transcription, but herbarium specimens pose difficulties in data extraction for many reasons. New information To provide developers of transcription methods with a means of optimisation, we have compiled a benchmark dataset of 1,800 herbarium specimen images with corresponding transcribed data. These images originate from nine different collections and include specimens that reflect the multiple potential obstacles that transcription methods may encounter, such as differences in language, text format (printed or handwritten), specimen age and nomenclatural type status. We are making these specimens available with a Creative Commons Zero licence waiver and with permanent online storage of the data. By doing this, we are minimising the obstacles to the use of these images for transcription training. This benchmark dataset of images may also be used where a defined and documented set of herbarium specimens is needed, such as for the extraction of morphological traits, handwriting recognition and colour analysis of specimens. Non peer reviewed
ZENODO; Biodiversity... arrow_drop_down ZENODO; Biodiversity Data JournalArticle . Data Paper . 2019License: CC BYFull-Text: https://doi.org/10.3897/BDJ.7.e31817Biodiversity Data JournalArticle . 2019Full-Text: http://europepmc.org/articles/PMC6396854Data sources: PubMed CentralRefubium - Repositorium der Freien Universität BerlinOther literature type . 2019License: CC BYData sources: Refubium - Repositorium der Freien Universität BerlinHELDA - Digital Repository of the University of HelsinkiArticle . 2019Data sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 31visibility views 31 download downloads 69 Powered bymore_vert ZENODO; Biodiversity... arrow_drop_down ZENODO; Biodiversity Data JournalArticle . Data Paper . 2019License: CC BYFull-Text: https://doi.org/10.3897/BDJ.7.e31817Biodiversity Data JournalArticle . 2019Full-Text: http://europepmc.org/articles/PMC6396854Data sources: PubMed CentralRefubium - Repositorium der Freien Universität BerlinOther literature type . 2019License: CC BYData sources: Refubium - Repositorium der Freien Universität BerlinHELDA - Digital Repository of the University of HelsinkiArticle . 2019Data sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017 France, Qatar, France, Finland, LuxembourgPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | bIoTopeEC| bIoTopeSylvain Kubler; Jeremy Robert; Ahmed Hefnawy; Kary Framling; Chantal Cherifi; Abdelaziz Bouras;handle: 10576/41741
By connecting devices, people, vehicles and infrastructures everywhere in a city, governments and their partners can improve community wellbeing and other economic and financial aspects (e.g., cost and energy savings). Nonetheless, smart cities are complex ecosystems that comprise many different stakeholders (network operators, managed service providers, logistic centers. . . ) who must work together to provide the best services and unlock the commercial potential of the so-called IoT. This is one of the major challenges that faces today’s smart city movement, and the emerging “API economy”. Indeed, while new smart connected objects hit the market every day, they mostly feed “vertical silos” (e.g., vertical apps, siloed apps. . . ) that are closed to the rest of the IoT, thus hampering developers to produce new added value across multiple platforms and/or application domains. Within this context, the contribution of this paper is twofold: (i) present the strategic vision and ambition of the EU to overcome this critical vertical silos’ issue; (ii) introduce the first building blocks underlying an open IoT ecosystem developed as part of an EU (Horizon 2020) projet and a joint project initiative (IoT-EPI). The practicability of this ecosystem, along with a performance analysis, are carried out considering a proof-of-concept for enhanced sporting event management in the context of the forthcoming FIFA World Cup 2022 in Qatar. International audience
Mémoires en Sciences... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2017 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE AccessOther literature type . Article . 2017 . Peer-reviewedOpen Repository and Bibliography - LuxembourgArticle . 2017Data sources: Open Repository and Bibliography - LuxembourgQatar University Institutional RepositoryArticle . 2017Data sources: Qatar University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Aaltodoc Publication ArchiveArticle . 2017 . Peer-reviewedData sources: Aaltodoc Publication ArchiveIEEE AccessOther literature type . Article . 2017 . Peer-reviewedOpen Repository and Bibliography - LuxembourgArticle . 2017Data sources: Open Repository and Bibliography - LuxembourgQatar University Institutional RepositoryArticle . 2017Data sources: Qatar University Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2017.2692247&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 LuxembourgPublisher:Elsevier BV Funded by:NSF | Collaborative Research: E..., NSF | Collaborative Research: E...NSF| Collaborative Research: EarthScope Facility Operation and Maintenance (FY2008-FY2013) (PBO/SAFOD) ,NSF| Collaborative Research: EarthScope-Acquisition, Construction, Facility Management, Operations and Maintenance/Plate Boundary Observatory (PBO)Authors: Tabibi, Sajad; Nievinski, Felipe G.; van Dam, Tonie; Monico, João F. G.;Tabibi, Sajad; Nievinski, Felipe G.; van Dam, Tonie; Monico, João F. G.;Abstract Global Positioning System (GPS) signal-to-noise ratio (SNR) measurements can be employed to retrieve environmental variables in multipath reception conditions, whereby direct or line-of-sight transmission is received simultaneously with coherent reflections thereof. Previous GPS SNR multipath studies of soil moisture and snow depth have focused on the legacy GPS L1 and L2 bands. In the present paper, short-delay, near-grazing incidence multipath from the L5-band GPS SNR is assessed for its value in detecting soil moisture and snow depth. The L5 signal will become more important in the future because of compatibility and interoperability among the different global satellite navigation systems. The L5 results are compared with L2C estimates to determine whether the L2C–L5 differences (given their differing power budgets and their modulation properties) are significant. To address these questions, measurements and simulations were employed. A physically-based multipath simulator was enhanced to investigate the differences between parameter retrievals for the L2C and the L5 GPS signals. Parameter retrievals from synthetic observations for different scenarios were compared. Comparisons included varying reflector height, surface material, and surface roughness. Measurements from two GPS stations in Colorado, USA, were used to retrieve soil moisture and snow depth conditions. Over a 153-day period that encompassed the catastrophic 2013 Colorado flooding event, L2-derived volumetric soil moisture had an RMS difference of 0.042 cm3/cm3 while the L5 RMS difference was 0.034 cm3/cm3 with respect to in-situ data (values of volumetric soil moisture range between 0.04 and 0.34 cm3/cm3). In a separate 483-day campaign, L5-derived snow depth estimates were compared to L2C-derived values and found strongly correlated, deviating from a one-to-one relationship by only 0.00001 ± 0.0064 cm/cm. These results indicate the absence of any detectable biases in L5 as compared to L2C for retrieving soil moisture and snow depth from GPS SNR multipath observations.
Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgArticle . 2015Data sources: Open Repository and Bibliography - LuxembourgAdvances in Space ResearchArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asr.2014.11.019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 53 citations 53 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Open Repository and ... arrow_drop_down Open Repository and Bibliography - LuxembourgArticle . 2015Data sources: Open Repository and Bibliography - LuxembourgAdvances in Space ResearchArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asr.2014.11.019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017Authors: Tobias Storch; Martin Schlerf; Rebecca Retzlaff;Tobias Storch; Martin Schlerf; Rebecca Retzlaff;doi: 10.3390/s17071542
This paper describes the concept of the hyperspectral Earth-observing thermal infrared (TIR) satellite mission HiTeSEM (High-resolution Temperature and Spectral Emissivity Mapping). The scientific goal is to measure specific key variables from the biosphere, hydrosphere, pedosphere, and geosphere related to two global problems of significant societal relevance: food security and human health. The key variables comprise land and sea surface radiation temperature and emissivity, surface moisture, thermal inertia, evapotranspiration, soil minerals and grain size components, soil organic carbon, plant physiological variables, and heat fluxes. The retrieval of this information requires a TIR imaging system with adequate spatial and spectral resolutions and with day-night following observation capability. Another challenge is the monitoring of temporally high dynamic features like energy fluxes, which require adequate revisit time. The suggested solution is a sensor pointing concept to allow high revisit times for selected target regions (1-5 days at off-nadir). At the same time, global observations in the nadir direction are guaranteed with a lower temporal repeat cycle (>1 month). To account for the demand of a high spatial resolution for complex targets, it is suggested to combine in one optic (1) a hyperspectral TIR system with ~75 bands at 7.2-12.5 µm (instrument NEDT 0.05 K-0.1 K) and a ground sampling distance (GSD) of 60 m, and (2) a panchromatic high-resolution TIR-imager with two channels (8.0-10.25 µm and 10.25-12.5 µm) and a GSD of 20 m. The identified science case requires a good correlation of the instrument orbit with Sentinel-2 (maximum delay of 1-3 days) to combine data from the visible and near infrared (VNIR), the shortwave infrared (SWIR) and TIR spectral regions and to refine parameter retrieval.
Sensors; OpenAPC Glo... arrow_drop_down Sensors; OpenAPC Global InitiativeArticle . Conference object . 2017 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s17071542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Sensors; OpenAPC Glo... arrow_drop_down Sensors; OpenAPC Global InitiativeArticle . Conference object . 2017 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s17071542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 LuxembourgPublisher:MDPI AG Authors: Julia Ros-Cuéllar; Luciana Porter-Bolland; Martha Bonilla-Moheno;Julia Ros-Cuéllar; Luciana Porter-Bolland; Martha Bonilla-Moheno;doi: 10.3390/land8010006
Protected Areas (PA) are the main strategy for nature conservation. However, PA are not always efficient for ecological conservation and social wellbeing. A possible alternative for conservation in human-dominated landscapes are Multifunctional Landscapes (ML), which allow the coexistence of multiple objectives, such as nature conservation and resource use. Using the activity system framework, we analyzed whether the ML concept was an operative alternative to PA within an area of interest for conservation in Veracruz, Mexico. Activity systems refer to the set of productive strategies that result from the mobilization of resources and which, within particular environmental governance contexts, shape the landscape. To understand the challenges and opportunities of our case study, we: (1) delimited the landscape according to local conservation interests and (2) analyzed the role of stakeholders in shaping this landscape. The delimited landscape included areas considered wildlife reservoirs and water provisioning zones. Our results suggested that the existence of local conservation areas (private and communal), combined with shaded-coffee agroforestry practices, made this region an example of ML. Although local conservation initiatives are perceived as more legitimate than top-down approaches, agreements amongst stakeholders are essential to strengthen environmental governance. In specific socio-ecological contexts, ML can be effective strategies for conservation through agroecosystems that maintain a high-quality landscape matrix, allowing nature preservation and delivering economic benefits.
Land arrow_drop_down LandOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/8/1/6/pdfOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/land8010006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Land arrow_drop_down LandOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/8/1/6/pdfOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/land8010006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 France, NetherlandsPublisher:Wiley Inoue, Y.; Guérif, M.; Baret, F.; Skidmore, A.K.; Gitelson, A.A.; Schlerf, M.; Darvishzadeh, R.; Olioso, A.;doi: 10.1111/pce.12815
pmid: 27650474
AbstractCanopy chlorophyll content (CCC) is an essential ecophysiological variable for photosynthetic functioning. Remote sensing of CCC is vital for a wide range of ecological and agricultural applications. The objectives of this study were to explore simple and robust algorithms for spectral assessment of CCC. Hyperspectral datasets for six vegetation types (rice, wheat, corn, soybean, sugar beet and natural grass) acquired in four locations (Japan, France, Italy and USA) were analysed. To explore the best predictive model, spectral index approaches using the entire wavebands and multivariable regression approaches were employed. The comprehensive analysis elucidated the accuracy, linearity, sensitivity and applicability of various spectral models. Multivariable regression models using many wavebands proved inferior in applicability to different datasets. A simple model using the ratio spectral index (RSI; R815, R704) with the reflectance at 815 and 704 nm showed the highest accuracy and applicability. Simulation analysis using a physically based reflectance model suggested the biophysical soundness of the results. The model would work as a robust algorithm for canopy‐chlorophyll‐metre and/or remote sensing of CCC in ecosystem and regional scales. The predictive‐ability maps using hyperspectral data allow not only evaluation of the relative significance of wavebands in various sensors but also selection of the optimal wavelengths and effective bandwidths.
NARCIS; Plant Cell &... arrow_drop_down NARCIS; Plant Cell & EnvironmentArticle . 2016Plant Cell & EnvironmentArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/pce.12815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 101 citations 101 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!more_vert NARCIS; Plant Cell &... arrow_drop_down NARCIS; Plant Cell & EnvironmentArticle . 2016Plant Cell & EnvironmentArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/pce.12815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2020 Spain, LuxembourgPublisher:IEEE Authors: Merlano-Duncan, Juan Carlos; Querol Borràs, Jorge; Martínez Marrero, Liz; Krivochiza, Jevgenij; +3 AuthorsMerlano-Duncan, Juan Carlos; Querol Borràs, Jorge; Martínez Marrero, Liz; Krivochiza, Jevgenij; Camps Carmona, Adriano José; Chatzinotas, Simeon; Ottersten, Bjorn;handle: 2117/359093
Remote Sensing from distributed platforms has become attractive for the community in the last years. Phase, frequency, and time synchronization are a crucial requirement for many such applications as multi-static remote sensing and also for distributed beamforming for communications. The literature on the field is extensive, and in some cases, the requirements an complexity of the proposed synchronization solution may surpass the ones set by the application itself. Moreover, the synchronization solution becomes even more challenging when the nodes are flying or hovering on aerial or space platforms. In this work, we discuss the synchronization considerations for the implementation of distributed remote sensing applications. The general framework considered is based on a distributed collection of autonomous nodes that synchronize their clocks with a common reference using inter-satellite links. For this purpose, we implement a synchronization link between two nodes operating in a full-duplex fashion. The experimental testbed uses commercially available SDR platforms to emulate two satellites, two targets, and the communication channel. The proposal is evaluated considering phase and frequency errors for different system parameters. This work was supported by the Fond National de la Recherche Luxembourg, under the CORE project COHESAT: Cognitive Cohesive Networks of Distributed Units for Active and Passive Space Applications. Peer Reviewed
https://upcommons.up... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2020 . Peer-reviewedLicense: IEEE CopyrightUPCommons. Portal del coneixement obert de la UPCConference object . 2020Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTAConference object . 2020 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAOpen Repository and Bibliography - LuxembourgConference object . 2020Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/igarss39084.2020.9324220&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 73 Powered bymore_vert https://upcommons.up... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2020 . Peer-reviewedLicense: IEEE CopyrightUPCommons. Portal del coneixement obert de la UPCConference object . 2020Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTAConference object . 2020 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAOpen Repository and Bibliography - LuxembourgConference object . 2020Data sources: Open Repository and Bibliography - Luxembourgadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/igarss39084.2020.9324220&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu