Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marie-Julie Lambert"'
Autor:
François Waldner, Marie-Julie Lambert, Wenjuan Li, Marie Weiss, Valérie Demarez, David Morin, Claire Marais-Sicre, Olivier Hagolle, Frédéric Baret, Pierre Defourny
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10400-10424 (2015)
With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification. This article investigates
Externí odkaz:
https://doaj.org/article/c470676ec6274dfbb61453496730752d
Autor:
Xavier Blaes, Guillaume Chomé, Marie-Julie Lambert, Pierre Sibiry Traoré, Antonius G. T. Schut, Pierre Defourny
Publikováno v:
Remote Sensing, Vol 8, Iss 6, p 531 (2016)
Soil fertility in smallholder farming areas is known to vary strongly on multiple scales. This study measures the sensitivity of the recorded satellite signal to on-farm soil fertility treatments applied to five crop types, and quantifies this fertil
Externí odkaz:
https://doaj.org/article/8b353f3450264b7cb8740b3c1818d46e
Publikováno v:
Remote Sensing, Vol 8, Iss 3, p 232 (2016)
Early warning systems for food security require accurate and up-to-date information on the location of major crops in order to prevent hazards. A recent systematic analysis of existing cropland maps identified priority areas for cropland mapping and
Externí odkaz:
https://doaj.org/article/1e46af9235c44a3dac31432b184cee3d
Publikováno v:
Remote Sensing of Environment. 216:647-657
In Mali's cotton belt, spatial variability in management practices, soil fertility and rainfall strongly impact crop productivity and the livelihoods of smallholder farmers. To identify crop growth conditions and hence improve food security, accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd7da59af24133607187a71ff5ad682
https://doi.org/10.1016/j.rse.2018.06.036
https://doi.org/10.1016/j.rse.2018.06.036
Autor:
Defourny, Pierre, Bedoret, Brigitte, Bellemans, Nicolas, Deffense, Nicolas, De Maet, Thomas, Goffart, Benjamin, Heymans, Diane, Marie-Julie Lambert, Malcorps, Philippe, Taymans, Matthieu, Schweitzer, Kathrin, Sannier, Christophe, Villerot, Sophie, Masse, Antoine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2886b4000f174e0f8fab7f26ad16d8ba
Publikováno v:
MultiTemp
In Southern Mali, high yield variability caused by rainfall distribution, local soil fertility and farmer management impacts the vulnerability of smallholder farmers. To better understand yield variation on a yearly basis and in a food security conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::787552eaba32b682bcfd3cf0b4c5d5b6
https://doi.org/10.1109/multi-temp.2017.8035204
https://doi.org/10.1109/multi-temp.2017.8035204
Autor:
Marie Weiss, David Morin, Wenjuan Li, Claire Marais-Sicre, Frédéric Baret, Pierre Defourny, Valérie Demarez, Marie-Julie Lambert, Olivier Hagolle, François Waldner
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2015, 7, pp.10400-10424. ⟨10.3390/rs70810400⟩
Remote Sensing (7), 10400-10424. (2015)
Remote Sensing, 2015, 7, pp.10400-10424. ⟨10.3390/rs70810400⟩
Remote Sensing; Volume 7; Issue 8; Pages: 10400-10424
Remote Sensing, Vol 7, Iss 8, Pp 10400-10424 (2015)
Remote Sensing, MDPI, 2015, 7, pp.10400-10424. ⟨10.3390/rs70810400⟩
Remote Sensing (7), 10400-10424. (2015)
Remote Sensing, 2015, 7, pp.10400-10424. ⟨10.3390/rs70810400⟩
Remote Sensing; Volume 7; Issue 8; Pages: 10400-10424
Remote Sensing, Vol 7, Iss 8, Pp 10400-10424 (2015)
International audience; With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac9e5ae4e6b7014de1affde358d45a21
https://hal.inrae.fr/hal-02638215
https://hal.inrae.fr/hal-02638215
Publikováno v:
Remote Sensing, Vol 8, Iss 3, p 232 (2016)
Remote Sensing; Volume 8; Issue 3; Pages: 232
Remote Sensing, Vol. 8(3), no.232, p. 1-23 (11 March 2016)
Remote Sensing; Volume 8; Issue 3; Pages: 232
Remote Sensing, Vol. 8(3), no.232, p. 1-23 (11 March 2016)
Early warning systems for food security require accurate and up-to-date information on the location of major crops in order to prevent hazards. A recent systematic analysis of existing cropland maps identified priority areas for cropland mapping and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9959f5249389f834ab40069b737155
https://doi.org/10.3390/rs8030232
https://doi.org/10.3390/rs8030232