Publications des scientifiques de l'IRD

Hadria R., Duchemin Benoît, Jarlan Lionel, Dedieu G., Baup F., Khabba S., Olioso A., Le Toan T. (2010). Potentiality of optical and radar satellite data at high spatio-temporal resolutions for the monitoring of irrigated wheat crops in Morocco. International Journal of Applied Earth Observation and Geoinformation, 12 (Suppl. 1), p. S32-S37. ISSN 0303-2434.

Titre du document
Potentiality of optical and radar satellite data at high spatio-temporal resolutions for the monitoring of irrigated wheat crops in Morocco
Année de publication
2010
Type de document
Article référencé dans le Web of Science WOS:000275612600007
Auteurs
Hadria R., Duchemin Benoît, Jarlan Lionel, Dedieu G., Baup F., Khabba S., Olioso A., Le Toan T.
Source
International Journal of Applied Earth Observation and Geoinformation, 2010, 12 (Suppl. 1), p. S32-S37 ISSN 0303-2434
The potential of FORMOSAT-2 and ENVISAT/ASAR for the monitoring of irrigated wheat crops over Tensift/Marrakech semi-and plain in Morocco is investigated The green leaf area index (GLAI) was obtained from time series of vegetation index acquired by the FORMOSAT-2 Instrument with a 25% accuracy This information was then incorporated into a canopy functioning model to provide spatial estimates of GLAI, aerial biomass and top-soil moisture These Outputs were evaluated by comparing them to ground data Collected oil eight wheat fields monitored during the 2005-2006 agricultural season The model accurately simulates the time courses of GLAI and aerial biomass during the vegetative phase Finally, we analysed the spatio-temporal variations of ASAR backscattering copolarization ratio (sigma(0)(HH/VV)) as a function of biomass water content oil the basis of simulations performed over 69 other wheat fields The purpose of Such analysis is to retrieve this last biophysical variable from ASAR images The sensitivity of ASAR data to vegetation appears to be deteriorated by the sensitivity of sigma(0)(HH/VV) to the variability of soil conditions encountered in the Study at ea (roughness and moisture) (C) 2009 Elsevier B V All rights reserved
Plan de classement
Bioclimatologie [072] ; Télédétection [126]
Localisation
Fonds IRD [F B010049389]
Identifiant IRD
fdi:010049389
Contact