Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models
The objective was to parameterize a modified water cloud model using crop coefficients (A and B). These crop coefficients were derived from Landsat-8 and Sentinel-2 data. Whereas the coefficients C and D are of soil parameters. The water cloud model was modified using crop coefficients by minimizing...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences
2020-04-01
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| Series: | Hungarian Geographical Bulletin |
| Subjects: | |
| Online Access: | https://ojs3.mtak.hu/index.php/hungeobull/article/view/2545 |
| Summary: | The objective was to parameterize a modified water cloud model using crop coefficients (A and B). These crop coefficients were derived from Landsat-8 and Sentinel-2 data. Whereas the coefficients C and D are of soil parameters. The water cloud model was modified using crop coefficients by minimizing the RMSE between observed VVσ0 and Sentinel-1 based simulated VVσ0. The comparison with observed and simulated VV polarized σ0 showed low RMSE (0.81 dB) and strong R2 of 0.98 for NDVI-EVI combination. However, based on other possible combinations of vegetation indices VVσ0 and simulated VVσ0 do not show a good statistical agreement. It was observed that the errors in crop coefficients (A and B) are sensitive to errors in initial vegetation/canopy descriptor parameters. |
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| ISSN: | 2064-5031 2064-5147 |