Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Martin Claverie"'
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2303 (2023)
Time series of optical remote sensing data are instrumental for monitoring vegetation dynamics, but are hampered by missing or noisy observations due to varying atmospheric conditions. Reconstruction methods have been proposed, most of which focus on
Externí odkaz:
https://doaj.org/article/9a8b74d9b9e44d55835c34974d947a80
Autor:
Katelyn Tarrio, Xiaojing Tang, Jeffrey G. Masek, Martin Claverie, Junchang Ju, Shi Qiu, Zhe Zhu, Curtis E. Woodcock
Publikováno v:
Science of Remote Sensing, Vol 2, Iss , Pp 100010- (2020)
Accurate, automated cloud and cloud shadow detection is a key component of the processing needed to prepare optical satellite imagery for scientific analysis. Many existing cloud detection algorithms rely on temperature information to identify clouds
Externí odkaz:
https://doaj.org/article/81a3ed3f1a4e4490afb186d075213562
Autor:
Martin Claverie, Eric Vermote, Belen Franch, Tao He, Olivier Hagolle, Mohamed Kadiri, Jeff Masek
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 12057-12075 (2015)
High-resolution sensor Surface Reflectance (SR) data are affected by surface anisotropy but are difficult to adjust because of the low temporal frequency of the acquisitions and the low angular sampling. This paper evaluates five high spatial resolut
Externí odkaz:
https://doaj.org/article/7b1c6605dcb748c7aa1974b7e32e32b3
Autor:
Olivier Hagolle, Sylvia Sylvander, Mireille Huc, Martin Claverie, Dominique Clesse, Cécile Dechoz, Vincent Lonjou, Vincent Poulain
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 12242-12264 (2015)
This paper presents the SPOT-4 (Take 5) experiment, aimed at providing time series of optical images simulating the repetitivity, the resolution and the large swath of Sentinel-2 images. The aim was to help users set up and test their applications an
Externí odkaz:
https://doaj.org/article/ba09703392f54500b2238f9041496c88
Autor:
Feng Chen, Shenlong Lou, Qiancong Fan, Chenxing Wang, Martin Claverie, Cheng Wang, Jonathan Li
Publikováno v:
Remote Sensing, Vol 11, Iss 14, p 1681 (2019)
Landsat 4-5, built at the same time and with the same design, carrying the Multispectral Scanner System (MSS) and the Thematic Mapper (TM) simultaneously, jointly provided observation service for about 30 years (1982−2013). Considering the importan
Externí odkaz:
https://doaj.org/article/43ee9417a5ad4afcb1198c2e26cf7b11
Autor:
Belen Franch, Eric F. Vermote, Jean-Claude Roger, Emilie Murphy, Inbal Becker-Reshef, Chris Justice, Martin Claverie, Jyoteshwar Nagol, Ivan Csiszar, Dave Meyer, Frederic Baret, Edward Masuoka, Robert Wolfe, Sadashiva Devadiga
Publikováno v:
Remote Sensing, Vol 9, Iss 3, p 296 (2017)
The Advanced Very High Resolution Radiometer (AVHRR) sensor provides a unique global remote sensing dataset that ranges from the 1980s to the present. Over the years, several efforts have been made on the calibration of the different instruments to e
Externí odkaz:
https://doaj.org/article/f157c2af754f4151b36fc51bc77f8d24
Publikováno v:
Remote Sensing, Vol 8, Iss 3, p 263 (2016)
In- land surface models, which are used to evaluate the role of vegetation in the context of global climate change and variability, LAI and FAPAR play a key role, specifically with respect to the carbon and water cycles. The AVHRR-based LAI/FAPAR dat
Externí odkaz:
https://doaj.org/article/39f6998eb2824622a67e701dcf352ee4
Autor:
Sylvain Ferrant, Vincent Bustillo, Enguerrand Burel, Jordy Salmon-Monviola, Martin Claverie, Nathalie Jarosz, Tiangang Yin, Vincent Rivalland, Gérard Dedieu, Valerie Demarez, Eric Ceschia, Anne Probst, Ahmad Al-Bitar, Yann Kerr, Jean-Luc Probst, Patrick Durand, Simon Gascoin
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 154 (2016)
Sentinel-2 (S2) earth observation satellite mission, launched in 2015, is foreseen to promote within-field decisions in Precision Agriculture (PA) for both: (1) optimizing crop production; and (2) regulating environmental impacts. In this second scop
Externí odkaz:
https://doaj.org/article/a514d23609304a01aa85e32062deccb6
Autor:
Martin Claverie
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 198:210-222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d49b4b6f25742d4897ac7d10cc164ba
https://doi.org/10.1016/j.isprsjprs.2023.03.011
https://doi.org/10.1016/j.isprsjprs.2023.03.011
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/
