Abstract
To retrieve the surface soil moisture using the radar data, several works performed the inversion of the Water Cloud Model (WCM) where the Normalized Vegetation Difference Index (NDVI) was used as vegetation descriptor.In the case of cloud presence, the optical data availability is limited. Therefore, in the present work, we compared the potential of the NDVI and the cross-polarization ratio and its normalized index (IN) calculated from Sentinel-1 data to describe the wheat dynamic in the soil moisture retrieve process. After the calibration and the validation of WCM, the inversion results were characterized by RMSE values varying between 5.6 vol.% and 7.4 vol.% with the outperformance of the NDVI use. Relatively close accuracy characterized the estimation of soil moisture using the radar derived descriptors.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 318-321 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350358582 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2024 - Virtual, Online, Algeria Duration: 15 Apr 2024 → 17 Apr 2024 |
Publication series
| Series | 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2024 - Proceedings |
|---|
Conference
| Conference | 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2024 |
|---|---|
| Country/Territory | Algeria |
| City | Virtual, Online |
| Period | 2024-04-15 → 2024-04-17 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- C-band
- NDVI
- radar
- semi-arid
- Sentinel-1
- soil moisture
- vegetation
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