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Effects of Spatial Heterogentity of Soil and Vegetation Parameters on Soil Moisture Retrieval from Passive Microwave Remote Sensing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Tao Zhang, Lixin Lingmei, Jiang Zhao, Tianjie |
| Copyright Year | 2010 |
| Abstract | Soil moisture is an important variable in the process of water and energy exchange at the land surface. Measuring this variable has potential application in hydrology and meteorology. Passive microwave remote sensing techniques have great potential for its frequent coverage, low data rates, and simpler data processing, but with poor resolution, which resulted in sub-pixel heterogeneity. The heterogeneity within an image pixel might have considerable impact on the accuracy of soil moisture retrievals from passive microwave data. It has shown that the passive microwave mixed pixel containing vegetation, water or forest resulted in different content of error on the retrieval of soil moisture [1]. The spatial heterogeneity of soil and vegetation parameters but not the different types of land cover fraction were less mentioned. In this paper, the soil and vegetation end-member were taken into account to study the effect of the spatial heterogeneity on soil moisture with simulating data. The conclusion was validated by some exact field experiments based on a multi-channel truck-mounted passive microwave radiometer. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IGARSS_2010/pdfs/2839.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |