Soil Moisture Model with Multi Angle and Multi Polarisation Risat-1 Data
Multi dimensional data (multi frequency, incident angle and polarisation) measurements of σ<sub>0</sub> provided better estimates of soil moisture over those derived from single. This particular paper explains a new methodology for soil moisture estimation with the use of multi angle and...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-11-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-8/145/2014/isprsannals-II-8-145-2014.pdf |
| Summary: | Multi dimensional data (multi frequency, incident angle and polarisation) measurements of σ<sub>0</sub> provided better estimates of soil
moisture over those derived from single. This particular paper explains a new methodology for soil moisture estimation with the use
of multi angle and multi polarisation RISAT-1 data. The roughness component was derived by correlating root mean square height
with the differences of cross polarisation and like polarisation backscatter values (σ <sub><i>HV</i></sub> - σ <sub><i>HH</i></sub>) and differences of low and high
incidence backscatter values (σ <sub><i>HH</i></sub> high (θ) - σ <sub><i>HH</i></sub> Low). The derived roughness was inputted to the modified dubois model (MDM).
The results show both the σ HV - σ <sub><i>HH</i></sub> & σ <sub><i>HH</i></sub> high (θ) - σ <sub><i>HH</i></sub> Low are sensitive to roughness. The derived soil moisture using the
MDM model is shows reasonable correlation with ground soil moisture. |
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| ISSN: | 2194-9042 2194-9050 |