Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area
Water availability to plants a significant role in agricultural areas, especially in arid and semi-arid areas. This research aimed to evaluate the potential of Water Cloud Model (WCM) for retrieving surface soil moisture, which is associated to water availability, in a semi-arid areas based on the c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Federation of Eurasian Soil Science Societies
2021-07-01
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| Series: | Eurasian Journal of Soil Science |
| Subjects: | |
| Online Access: | http://ejss.fesss.org/10.18393/ejss.926813 |
| _version_ | 1797698879822495744 |
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| author | Rida Khellouk Ahmed Barakat Aafaf El Jazouli Hayat Lionboui Tarik Benabdelouahab |
| author_facet | Rida Khellouk Ahmed Barakat Aafaf El Jazouli Hayat Lionboui Tarik Benabdelouahab |
| author_sort | Rida Khellouk |
| collection | DOAJ |
| description | Water availability to plants a significant role in agricultural areas, especially in arid and semi-arid areas. This research aimed to evaluate the potential of Water Cloud Model (WCM) for retrieving surface soil moisture, which is associated to water availability, in a semi-arid areas based on the combination between Sentinel-1B SAR (Synthetic Aperture Radar) and optical Sentinel-2B data. The performance of the applied model was assessed using ground observed soil moisture (0-5 cm). Accuracy evaluation was performed by the cross-validation method (k-fold), it showed a coefficients of determination (R2) of 0.65 and RMSE of 1.45%. The obtained results show a good concordance between retrieved model and ground observed surface soil moisture. In addition, this model was used for the mapping spatio-temporal variation of soil moisture at high spatial resolution in the study areas. This approach could be used by environmentalists and decision-makers as a practical tool for monitoring and estimating the change of surface moisture content. |
| first_indexed | 2024-03-12T04:00:24Z |
| format | Article |
| id | doaj.art-2ad7257386d042e9a5e64000731edddc |
| institution | Directory Open Access Journal |
| issn | 2147-4249 2147-4249 |
| language | English |
| last_indexed | 2024-03-12T04:00:24Z |
| publishDate | 2021-07-01 |
| publisher | Federation of Eurasian Soil Science Societies |
| record_format | Article |
| series | Eurasian Journal of Soil Science |
| spelling | doaj.art-2ad7257386d042e9a5e64000731edddc2023-09-03T11:37:09ZengFederation of Eurasian Soil Science SocietiesEurasian Journal of Soil Science2147-42492147-42492021-07-0110324325010.18393/ejss.926813Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural areaRida Khellouk0Ahmed Barakat1Aafaf El Jazouli2Hayat Lionboui3Tarik Benabdelouahab4Georesources and Environment Laboratory, Faculty of Sciences and Techniques, Sultan My Slimane University, Béni-Mellal, MoroccoGeoresources and Environment Laboratory, Faculty of Sciences and Techniques, Sultan My Slimane University,Béni-Mellal, MoroccoGeoresources and Environment Laboratory, Faculty of Sciences and Techniques, Sultan My Slimane University,Béni-Mellal, MoroccoNatural Resources and Environment Department, National Institute of Agronomic Research, Rabat, MoroccoNatural Resources and Environment Department, National Institute of Agronomic Research, Rabat, MoroccoWater availability to plants a significant role in agricultural areas, especially in arid and semi-arid areas. This research aimed to evaluate the potential of Water Cloud Model (WCM) for retrieving surface soil moisture, which is associated to water availability, in a semi-arid areas based on the combination between Sentinel-1B SAR (Synthetic Aperture Radar) and optical Sentinel-2B data. The performance of the applied model was assessed using ground observed soil moisture (0-5 cm). Accuracy evaluation was performed by the cross-validation method (k-fold), it showed a coefficients of determination (R2) of 0.65 and RMSE of 1.45%. The obtained results show a good concordance between retrieved model and ground observed surface soil moisture. In addition, this model was used for the mapping spatio-temporal variation of soil moisture at high spatial resolution in the study areas. This approach could be used by environmentalists and decision-makers as a practical tool for monitoring and estimating the change of surface moisture content.http://ejss.fesss.org/10.18393/ejss.926813remote sensingsoil moisturesentinel-1bsentinel-2bwcmsaragricultural areas |
| spellingShingle | Rida Khellouk Ahmed Barakat Aafaf El Jazouli Hayat Lionboui Tarik Benabdelouahab Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area Eurasian Journal of Soil Science remote sensing soil moisture sentinel-1b sentinel-2b wcm sar agricultural areas |
| title | Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area |
| title_full | Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area |
| title_fullStr | Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area |
| title_full_unstemmed | Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area |
| title_short | Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural area |
| title_sort | assessment of water cloud model based on sar and optical satellite data for surface soil moisture retrievals over agricultural area |
| topic | remote sensing soil moisture sentinel-1b sentinel-2b wcm sar agricultural areas |
| url | http://ejss.fesss.org/10.18393/ejss.926813 |
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