Abstract:
Recurrent droughts and water restrictions occur more and more often in Southeastern France. In this context, the evaluation of available resources according to the crop d...Show MoreMetadata
Abstract:
Recurrent droughts and water restrictions occur more and more often in Southeastern France. In this context, the evaluation of available resources according to the crop development and needs is becoming a priority. This study uses Sentinel data, for two main purposes: -i) evaluating the accuracy of new soil moisture products obtained from Sentinel 1 & 2 (S2MP) delivered from the THEIA platform, by using continuous soil moisture measurements of an agricultural plot located in Avignon (France) -ii) assessing the potential of Sentinel 1 & 2 for monitoring soil moisture, irrigation and phenology of irrigated orchards. Significant correlations were found between in situ measurements and soil moisture products normalized with the yearly amplitude (\mathrm{r}^{2} =0.76\ \ \text{rmse}=0.15\%/\%). Time series of the green fractional cover fCOVER and the fraction of absorbed radiation (fAPAR) computed from Sentinel 2 permitted to identify full flowering and end of flowering phenological stages when irrigation start.
Date of Conference: 17-22 July 2022
Date Added to IEEE Xplore: 28 September 2022
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