Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Momchil Yordanov"'
Autor:
Babak Ghassemi, Emma Izquierdo-Verdiguier, Astrid Verhegghen, Momchil Yordanov, Guido Lemoine, Álvaro Moreno Martínez, Davide De Marchi, Marijn van der Velde, Francesco Vuolo, Raphaël d’Andrimont
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract To provide the information needed for a detailed monitoring of crop types across the European Union (EU), we present an advanced 10-metre resolution map for the EU and Ukraine with 19 crop types for 2022, updating the 2018 version. Using Ear
Externí odkaz:
https://doaj.org/article/a5f52dfdb57a46eb8dbf6166d0c3b33d
Autor:
Momchil Yordanov, Raphaël d’Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn van der Velde
Publikováno v:
Sensors, Vol 23, Iss 14, p 6298 (2023)
Massive and high-quality in situ data are essential for Earth-observation-based agricultural monitoring. However, field surveying requires considerable organizational effort and money. Using computer vision to recognize crop types on geo-tagged photo
Externí odkaz:
https://doaj.org/article/6b2792b0cb884ad6b01e6754be11651a
Autor:
Velde, Momchil Yordanov, Raphaël d’Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn van der
Publikováno v:
Sensors; Volume 23; Issue 14; Pages: 6298
Massive and high-quality in situ data are essential for Earth-observation-based agricultural monitoring. However, field surveying requires considerable organizational effort and money. Using computer vision to recognize crop types on geo-tagged photo
Autor:
Raphaël d'Andrimont, Martin Claverie, Pieter Kempeneers, Davide Muraro, Momchil Yordanov, Devis Peressutti, Matej Batič, François Waldner
Field boundaries are at the core of many agricultural applications and are a key enabler for the operational monitoring of agricultural production to support food security. Recent scientific progress in deep learning methods has highlighted the capac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc44974b3d5a3a76bdb9ff1a1bc36c18
https://essd.copernicus.org/articles/15/317/2023/
https://essd.copernicus.org/articles/15/317/2023/
Autor:
Laura Martínez-Sanchez, Marijn van der Velde, Linda See, Raphael d'Andrimont, Momchil Yordanov, Neija Elvekjaer, Astrid Verhegghen, Davide Muraro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5ad3dbbd406819f3d7dbda1f94e5ff
https://doi.org/10.2139/ssrn.4395303
https://doi.org/10.2139/ssrn.4395303
Autor:
Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Peter Haub, Oliver Buck, Carsten Haub, Beatrice Eiselt, Marijn van der Velde
In the European Union, since 2006, a tri-annual survey has sampled land cover and land use information under the Land Use/Cover Area frame Survey (LUCAS). A total of 1 351 293 observations from 651 780 unique locations for 106 variables were collecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684d6cb496e0568f6239573e4d2c34a4
https://essd.copernicus.org/articles/14/4463/2022/
https://essd.copernicus.org/articles/14/4463/2022/
Autor:
Laura Martinez-Sanchez, Marijn van der Velde, Momchil Yordanov, Astrid Verhegghen, Beatrice Eiselt, Michele Meroni, Guido Lemoine, Peter Strobl, Raphaël d'Andrimont
Publikováno v:
Earth System Science Data, Vol 13, Pp 1119-1133 (2021)
The Land Use/Cover Area frame Survey (LUCAS) is an evenly spaced in situ land cover and land use ground survey exercise that extends over the whole of the European Union. LUCAS was carried out in 2006, 2009, 2012, 2015, and 2018. A new LUCAS module s
Autor:
Raphaël d'Andrimont, Astrid Verhegghen, Michele Meroni, Guido Lemoine, Peter Strobl, Beatrice Eiselt, Momchil Yordanov, Laura Martinez-Sanchez, Marijn van der Velde
The Land Use/Cover Area frame Survey (LUCAS) is a regular in-situ land cover and land use ground survey exercise that extends over the whole of the European Union. LUCAS was carried out in 2006, 2009, 2012, 2015, and 2018. A new LUCAS module specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eba83e5170a80bf9386d59f86fac7d2
https://doi.org/10.5194/essd-2020-178
https://doi.org/10.5194/essd-2020-178
Autor:
Raphaël d'Andrimont, Beatrice Eiselt, Laura Martinez-Sanchez, Alessandra Palmieri, Hannes Isaak Reuter, Guido Lemoine, Javier Gallego, Marijn van der Velde, Paolo Dominici, Momchil Yordanov, Christian Joebges
Publikováno v:
Scientific Data
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
Accurately characterizing land surface changes with Earth Observation requires geo-located ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area f
Autor:
Momchil Yordanov, Andrej Ceglar, Guido Lemoine, Matthieu Taymans, Raphaël d'Andrimont, Marijn van der Velde
Publikováno v:
Remote Sensing of Environment
A novel methodology is proposed to robustly map oil seed rape (OSR) flowering phenology from time series generated from the Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) sensors. The time series are averaged at parcel level, initially for a set of 2