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COSMO SkyMed AO projects -soil moisture detection for vegetation fields based on a modified water-cloud model using COSMO-SkyMed SAR data
- Authors
- Kweon, S.-K.; Hwang, J.-H.; Oh, Y.
- Issue Date
- 2012
- Publisher
- IEEE
- Keywords
- backscattering coefficients; Inversion algorithm; soil moisture; vegetation canopy; water-cloud model
- Citation
- International Geoscience and Remote Sensing Symposium (IGARSS), pp.1204 - 1207
- Journal Title
- International Geoscience and Remote Sensing Symposium (IGARSS)
- Start Page
- 1204
- End Page
- 1207
- ISSN
- 0000-0000
- Abstract
- In this study, we developed a soil moisture retrieval technique for vegetation fields using a modified water-cloud model. The water-cloud model has been a typical algorithm used to analyze scattering from vegetation fields for a long time, because it is simple to be used for retrieving a variety of information such as soil moisture and vegetation water mass. However, its accuracy has been questionable because the water-cloud model contains lots of approximations in the process of simplification. To improve the accuracy of the algorithm, we modified the water-cloud model with the estimation of parameters using a radiative transfer model. Soil moisture is retrieved from SAR images by the modified water-cloud model for vegetation fields and compared with in-situ measured ground truth data. © 2012 IEEE.
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