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Copernicus Global Land Cover Layers—Collection 2
2020
Remote Sensing
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In May 2019, Collection 2 of the Copernicus Global Land Cover layers was released. ...
Next to a global discrete land cover map at 100 m resolution, a set of cover fraction layers is provided depicting the percentual cover of the main land cover types in a pixel. ...
Acknowledgments: We would also like to thank all the experts who contributed in developing the training data set as well to those to who were involved in validation. ...
doi:10.3390/rs12061044
fatcat:7m5mvzifmfhutbbwwlyforvltq
Guidelines on EO ICT support improvement to stakeholders v1
2019
Zenodo
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This document integrates the lessons learned and provide implementation scenario guidelines for services in the agriculture domain on how to utilize the DIAS service infrastructure to achieve advancement ...
in the service availability and support of stakeholders. ...
With its frequent and systematic coverage, Sentinel-2 makes a significant contribution to land monitoring services by providing input data for both land cover and land cover change mapping, and support ...
doi:10.5281/zenodo.4248940
fatcat:bxbei6rq6vbwbj6fa6og4kweci
Overall Architectural Model from Copernicus Components to specific Agri-Apps
2020
Zenodo
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The purpose of task T4.1 has been to identify and analyse the main building blocks characterizing the current end-to-end systems in the agriculture domain, evaluating also their alignment within the value ...
the analysis of the EO based service value chain identifying the main building blocks of a common architectural model that can be used as baseline taxonomy for collecting information about the current ...
It has the aim to provide geographical information on land cover, land use, land cover-use changes over the years, vegetation state and the water management, agriculture or food security. ...
doi:10.5281/zenodo.4248961
fatcat:fyukgfonzbepzestekxtc5cmfe
Guidelines on EO ICT support improvement to stakeholders v2
2020
Zenodo
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This document integrates the lessons learned and provide implementation scenario guidelines for services in the agriculture domain on how to utilize the DIAS service infrastructure to achieve advancement ...
in the service availability and support of stakeholders. ...
With its frequent and systematic coverage, Sentinel-2 makes a significant contribution to land monitoring services by providing input data for both land cover and land cover change mapping, and support ...
doi:10.5281/zenodo.4249914
fatcat:4ju6nl6apvdpla6bx7iy46et5q
ExtremeEarth Meets Satellite Data From Space
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Furthermore, we present the integration of Hopsworks with the Polar and Food Security use cases and the flow of events for the products offered through the TEPs. ...
Copernicus data. ...
He has also worked at the NCSR "Demokritos", the National Technical University of Athens (NTUA), the L3S Research Center and the "Athena" Research Center. ...
doi:10.1109/jstars.2021.3107982
fatcat:fxmpayska5bvlj7ibw3peqhuzu
H2020 EOPEN Easing Copernicus Data & Services Exploitation
2019
Zenodo
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EOPEN is part of the Intermediate layer and complies with the DIAS requirements. ...
; additionally, the involvement of mature ICT solutions in the Earth Observation sector addresses major challenges in effectively handling and disseminating Copernicus-related information to the wider ...
Through EOPEN, AAWA EWS will access several additional input data for their hydrological model, available from Copernicus Global Land Services (CGLS) as well as an additional weather forecast, provided ...
doi:10.5281/zenodo.3662240
fatcat:aj3ih6fuv5g4fgcb2und5wlo5u
Large-Scale High-Resolution Coastal Mangrove Forests Mapping Across West Africa With Machine Learning Ensemble and Satellite Big Data
2021
Frontiers in Earth Science
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The machine learning ensemble integrates three commonly used machine learning methods in land cover and land use mapping, including Random Forest (RF), Gradient Boosting Machine (GBM), and Neural Network ...
The machine learning ensemble has the potential to be applied to other regions of the world and is therefore capable of producing high-resolution mangrove extent maps at global scales periodically. ...
land cover mapping. ...
doi:10.3389/feart.2020.560933
fatcat:d4cdam77dndx7dw4sxw52mhd3e
D4.4 FAIR Data Cubes -Release I
2021
Zenodo
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This document describes the FAIR Data Cube resources requested by RELIANCE user communities and made available within the RELIANCE project. ...
The Data Cube Metadata Model adopted for describing FAIR Data Cubes and Data Cube API are detailed in the D4.1 and D4.2, respectively. ...
The East domain covers Svalbard, Franz Josef Land, Novaya Zemlya, Barents Sea, and the Northern parts of the Norwegian Sea and Scandinavia.
https://www.ogc.org/projects/initiatives/t17 ...
doi:10.5281/zenodo.5153210
fatcat:dlfgfwdguzc33p3jk6o7plonhu
Automated Delineation Of Wildfire Areas Using Sentinel-2 Satellite Imagery
2018
GI_FORUM - Journal for Geographic Information Science
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Copernicus programme. ...
Climate change will bring many changes to the world. For example, the frequency and severity of natural hazards and related disasters are expected to increase globally. ...
Acknowledgement Our work is part of I-REACT, a European research project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 700256 ...
doi:10.1553/giscience2018_01_s251
fatcat:4cqjo7oouvhghknplsq7grhfkm
Validation of new satellite aerosol optical depth retrieval algorithm using Raman lidar observations at radiative transfer laboratory in Warsaw
2018
EPJ Web of Conferences
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On the clean reference day, for estimating surface reflectance the AOD forecast available on-line via the Copernicus Atmosphere Monitoring Service (CAMS) was used. ...
The new AOD algorithm aims at providing the aerosol optical depth maps over the territory of Poland with a high temporal resolution of 15 minutes. ...
ACKNOWLEDGEMENTS The scientific work presented in this paper was performed in the frame of the SAtellite based Monitoring Initiative for Regional Air quality ...
doi:10.1051/epjconf/201817604008
fatcat:5qvvfuxskjdm7ifcgao6xtqi2q
CABra: a novel large-sample dataset for Brazilian catchments
2021
Hydrology and Earth System Sciences
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catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land cover, and hydrologic disturbance). ...
To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT DEM) and the coordinates of the streamflow stations provided by the ...
The landcover and land-use map used in the CABra dataset is the Copernicus Global Land Cover, which has 100 m spatial resolution, is a result of a classification of the PROBA-V satellite observations of ...
doi:10.5194/hess-25-3105-2021
fatcat:dzr6vkrsfrg7rk42au6qsimive
Using Space-Based Downstream Services for Urban Management in Smart Cities
2014
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
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Acknowledgement The DECUMANUS project is partly funded by European Commission Framework Programme 7 under grant agreement number: 607183. ...
The attribution of these energy emissions can be reached by combining this data with core mapping services (Urban Atlas, HR Layers, …), leading to an improved understanding of the emitting areas in the ...
The benefit of the satellite based data for smart cities applications is that new images can be used to compare and contrast the land cover/use, light emissions, energy usage, etc on regular basis. ...
doi:10.1109/ucc.2014.133
dblp:conf/ucc/GarzonPPKL14
fatcat:lj5oun2iabgvrhfpimuuqb2jbu
D4.5 FAIR Data Cubes - Release II
2022
Zenodo
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RELIANCE, short for Research Lifecycle Management for Earth Science Communities and Copernicus users in EOSC, aims to realize the vision of FAIR research in EOSC by adopting a holistic research management ...
The final releases of this deliverable is planned at month M21 to track the extension of Data Cube resources made available within the RELIANCE project. ...
A substantial portion of the global land surface between 60° northern and 58° southern latitude was covered. ...
doi:10.5281/zenodo.6260659
fatcat:s3udr266r5dldi35fzxhoucj5q
Knowledge Extracted from Copernicus Satellite Data
2019
Zenodo
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They need to be sufficiently diverse to cover the major target areas of satellite images under varying imaging conditions and across all seasons. ...
In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the ...
One of the most difficult task is to distinguish the glaciers, glaciers lakes and dry from dry land. ...
doi:10.5281/zenodo.3941573
fatcat:zzifwgljifck5bpjnboetsftfu
Observational Requirements for Long-Term Monitoring of the Global Mean Sea Level and Its Components Over the Altimetry Era
2019
Frontiers in Marine Science
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Here, we detail the network for observing sea level and its components, underscore the importance of these observations, and emphasize the need to maintain current systems, improve their sensors, and supplement ...
the observational network where gaps in our knowledge remain. ...
ACKNOWLEDGMENTS We thank the two reviewers for their comments that helped us to improve the manuscript. ...
doi:10.3389/fmars.2019.00582
fatcat:jirgdghf7zanvfgqpznmnxov2a
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