Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jeroen Dries"'
Autor:
Matthias Schramm, Edzer Pebesma, Milutin Milenković, Luca Foresta, Jeroen Dries, Alexander Jacob, Wolfgang Wagner, Matthias Mohr, Markus Neteler, Miha Kadunc, Tomasz Miksa, Pieter Kempeneers, Jan Verbesselt, Bernhard Gößwein, Claudio Navacchi, Stefaan Lippens, Johannes Reiche
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1125 (2021)
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Inter
Externí odkaz:
https://doaj.org/article/8f8ecfdedf624a45aa5b32042d6cab1a
Autor:
Erwin Goor, Jeroen Dries, Dirk Daems, Martine Paepen, Fabrizio Niro, Philippe Goryl, Philippe Mougnaud, Andrea Della Vecchia
Publikováno v:
Remote Sensing, Vol 8, Iss 7, p 564 (2016)
As an extension of the PROBA-Vegetation (PROBA-V) user segment, the European Space Agency (ESA), de Vlaamse Instelling voor Technologisch Onderzoek (VITO), and partners TRASYS and Spacebel developed an operational Mission Exploitation Platform (MEP)
Externí odkaz:
https://doaj.org/article/89095cda786f43c580d0f752ffda01b8
Autor:
Benjamin Schumacher, Patrick Griffiths, Edzer Pebesma, Jeroen Dries, Alexander Jacob, Daniel Thiex, Matthias Mohr, Christian Briese
openEO Platform holds a large amount of free and open as well as commercial Earth Observation (EO) data which can be accessed and analysed with openEO, an open API that enables cloud computing and EO data access in a unified and reproducible way. Add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e60fa12b8e7d806b273d180d6df9ca9
https://doi.org/10.5194/egusphere-egu23-8526
https://doi.org/10.5194/egusphere-egu23-8526
Publikováno v:
proceedings 2022.
Autor:
Benjamin Schumacher, Patrick Griffiths, Edzer Pebesma, Jeroen Dries, Alexander Jacob, Daniel Thiex, Matthias Mohr, Christian Briese
The growing data stream from Earth Observation (EO) satellites has advanced scientific knowledge about the environmental status of planet earth and has enabled detailed environmental monitoring services. The openEO API developed in the Horizon 2020 p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c731538aecc126653fd65d83595ebb48
https://doi.org/10.5194/egusphere-egu22-9101
https://doi.org/10.5194/egusphere-egu22-9101
Autor:
Patrick Griffiths, Christian Briese, Jeroen Dries, Anze Skerlevaj, Edzer Pebesma, Matthias Mohr, Gilberto Camara, Alexander Jacob
The OpenEO API allows the analysis of large amounts of Earth Observation data using a high-level abstraction of data and processes. Rather than focusing on the management of virtual machines and millions of imagery files, it allows to create jobs tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9225ea64e57d27c56f6fc05113026790
https://doi.org/10.5194/egusphere-egu21-9602
https://doi.org/10.5194/egusphere-egu21-9602
Autor:
Johannes Reiche, Stefaan Lippens, Luca Foresta, Milutin Milenković, Wolfgang Wagner, Jan Verbesselt, Matthias Mohr, Tomasz Miksa, Jeroen Dries, Alexander Jacob, Miha Kadunc, Edzer Pebesma, Markus Neteler, Pieter Kempeneers, Claudio Navacchi, Bernhard Gößwein, Matthias Schramm
Publikováno v:
Remote Sensing 13 (2021) 6
Remote Sensing
Remote Sensing, 13(6)
Remote Sensing, Vol 13, Iss 1125, p 1125 (2021)
Remote Sensing; Volume 13; Issue 6; Pages: 1125
Remote Sensing
Remote Sensing, 13(6)
Remote Sensing, Vol 13, Iss 1125, p 1125 (2021)
Remote Sensing; Volume 13; Issue 6; Pages: 1125
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4255d13e32e45c42d1f4a3cb359034ca
https://research.wur.nl/en/publications/the-openeo-apiharmonising-the-use-of-earth-observation-cloud-serv
https://research.wur.nl/en/publications/the-openeo-apiharmonising-the-use-of-earth-observation-cloud-serv
Autor:
Leslie Gale, Jeroen Dries, Henning Bredel, Thomas Udelhoven, Ulrich Leopold, Philippe Pinheiro, Mickaël Stefas, J. Arturo Torres-Matallana, Benedikt Gräler, Bernard Valentin, Martin Schlerf, Philippe Mougnaud
We present an implementation of a time series analysis toolbox for remote sensing imagery in R which has been largely funded by the European Space Agency within the PROBA-V MEP Third Party Services project. The toolbox is developed according to the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcd0050e52ed8b82551b74da003f45b
https://doi.org/10.5194/egusphere-egu2020-21974
https://doi.org/10.5194/egusphere-egu2020-21974
Autor:
Andrea Della Vecchia, Philippe Mougnaud, Philippe Goryl, Dirk Daems, Fabrizio Niro, Jeroen Dries, Erwin Goor, Martine Paepen
Publikováno v:
Remote Sensing, Vol 8, Iss 7, p 564 (2016)
As an extension of the PROBA-Vegetation (PROBA-V) user segment, the European Space Agency (ESA), de Vlaamse Instelling voor Technologisch Onderzoek (VITO), and partners TRASYS and Spacebel developed an operational Mission Exploitation Platform (MEP)