Inversion algorithm for soil moisture retrieval from polarimetric backscattering coefficients of vegetation canopies
- Authors
- Oh, Y.; Jung, S.-G.
- Issue Date
- 2008
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Genetic algorithm; Inversion algorithm; Polarimetrie backscattering coefficients; Soil moisture; Vegetation canopy
- Citation
- International Geoscience and Remote Sensing Symposium (IGARSS), v.2, no.1, pp.402 - 405
- Journal Title
- International Geoscience and Remote Sensing Symposium (IGARSS)
- Volume
- 2
- Number
- 1
- Start Page
- 402
- End Page
- 405
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/23414
- DOI
- 10.1109/IGARSS.2008.4779013
- ISSN
- 0000-0000
- Abstract
- This paper presents soil moisture retrieval from measured Polarimetrie backscattering coefficients of a vegetated surface. Based on the analysis of the quite complicate firstorder radiative transfer scattering model for vegetated surfaces, a simplified scattering model is proposed for an inversion algorithm. Extraction of the surface-scatter component from the total scattering of a vegetation canopy is addressed using the simplified model, and also using the three-component decomposition technique. The backscattering coefficients are measured with a Polarimetrie Lband scatterometer during two months as well as the biomasses, leaf moisture contents, and soil moisture contents. Then the measurement data are used to estimate the model parameters for w-, hh-, and vh-polarizations. The scattering model for tall-grass-covered surfaces is inverted to retrieve the soil moisture content from the measurements using a genetic algorithm. The retrieved soil moisture contents agree quite well with the in-situ measured soil moisture data. ©2008 IEEE.
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