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Published on May 1, 2019in Computers & Geosciences 2.57
A. Iraola , Paolo Trinchero9
Estimated H-index: 9
+ 1 AuthorsJorge Molinero15
Estimated H-index: 15
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Published on May 1, 2019in Computers & Geosciences 2.57
Shaoqun Dong1
Estimated H-index: 1
,
Lianbo Zeng1
Estimated H-index: 1
+ 4 AuthorsAi Wang
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Published on Dec 1, 2018in Computers & Geosciences 2.57
Thomas Corpetti16
Estimated H-index: 16
(Chinese Academy of Sciences),
Xing Gong3
Estimated H-index: 3
(Chinese Academy of Sciences)
+ 2 AuthorsLaurence Hubert-Moy22
Estimated H-index: 22
(University of Rennes)
Abstract This paper is concerned with the recovery of Leaf Area Index (LAI) time series in intense agriculture areas from moderate resolution remote sensing data (MODIS or SENTINEL). Although their resolution limits an analysis at a parcel level, their high temporal rate enables to monitor land use/land cover through the temporal evolution of key biophysical parameters as LAI. However in practice, frame-by-frame estimation is unsatisfactory since the quality of each single data is subjected to u...
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Published on Aug 1, 2019in Computers & Geosciences 2.57
Yanghai Yu1
Estimated H-index: 1
,
Timo Balz10
Estimated H-index: 10
+ 2 AuthorsLu Zhang10
Estimated H-index: 10
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Published on May 1, 2019in Computers & Geosciences 2.57
Plumejeaud-Perreau (University of La Rochelle), Eric Quinton + 7 AuthorsVincent Bretagnolle41
Estimated H-index: 41
(University of La Rochelle)
Abstract Ensuring traceability of both field experimental data and laboratory sampling data for a reproducible research remains a challenge nowadays. Between the time when geolocalized specimens are taken, and the time the resulting data ends up in analysis published within a study, many manual operations take place that are prone to generate errors. The French nodes of the European Long-Term Socio-Ecological Research Infrastructure called ”Zones Ateliers” propose a solution as generic as possib...
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