Publications des scientifiques de l'IRD

Ouaadi N., Jarlan Lionel, Ezzahar J., Khabba S., Le Dantec V., Rafi Z., Zribi M., Frison P.L. (2020). Water stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of sentinel-1 backscatter. In : 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS). Piscataway : IEEE, 306-309. M2GARSS. Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, TUNIS (TUN), 2020/03/09-11. ISBN 978-1-7281-2191-8.

Titre du document
Water stress detection over irrigated wheat crops in semi-arid areas using the diurnal differences of sentinel-1 backscatter
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000604612500069
Auteurs
Ouaadi N., Jarlan Lionel, Ezzahar J., Khabba S., Le Dantec V., Rafi Z., Zribi M., Frison P.L.
In
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
Source
Piscataway : IEEE, 2020, 306-309 ISBN 978-1-7281-2191-8
Colloque
M2GARSS. Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, TUNIS (TUN), 2020/03/09-11
This work aims to investigate the sensitivity of the diurnal differences of radar backscatter to diurnal changes in the vegetation water content (VWC). Sentinel-1 backscattering coefficient differences between two orbits (morning and evening) are analyzed over an irrigated and voluntarily stressed wheat field. A physical model of backscatter prediction is evaluated for wheat and used to examine the sensitivity of radar differences to the VWC for a range of surface soil moisture and biomass conditions. Results highlight the potential of C-band diurnal differences for the monitoring the water stress over agricultural canopies
Plan de classement
Hydrologie [062] ; Pédologie [068] ; Sciences du monde végétal [076] ; Télédétection [126]
Localisation
Fonds IRD [F B010084420]
Identifiant IRD
fdi:010084420
Contact