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MoistureMap: Mixed-pixel Retrieval Ye Nan Master of research University of Melbourne Jeffrey Walker, Dongryeol Ryu, Christoph Rüdiger, Robert Gurney, Edward.

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Presentation on theme: "MoistureMap: Mixed-pixel Retrieval Ye Nan Master of research University of Melbourne Jeffrey Walker, Dongryeol Ryu, Christoph Rüdiger, Robert Gurney, Edward."— Presentation transcript:

1 MoistureMap: Mixed-pixel Retrieval Ye Nan Master of research University of Melbourne Jeffrey Walker, Dongryeol Ryu, Christoph Rüdiger, Robert Gurney, Edward Kim, Yann Kerr

2 NAFE’06 Study Area-Kyeamba catchment Heterogeneity in SMOS resolution pixel Standing water Forest Urban area Grass Bare soil Crops Source: 50km

3 South Paris, France World-wide Problem Pennsylvania, USA Source: Xinjiang, China

4 “as little as 3% standing water coverage leads to more than 4%v/v error in derived soil moisture – the target accuracy for SMOS soil moisture retrieval“ [Walker et al., 2006] Effect of mixed-pixels The heterogeneity of pixels reduce the accuracy of SMOS soil moisture retrieval

5 Simulating the surface types emission contributions on overall SMOS microwave response Project target and proposed approach Area distribution pie map Brightness temperature map

6 Proposed Approaches represents different surface SMOS Land-use Bare soil, Crops and Grass Forest Urban Water Rocks Tau-Omega model LAI_max Klein, Stogryn, Debye

7 Test field Goulburn River catchment NAFE’05 data set

8 Test field Yanco area NAFE’06 data set

9 Test field Kyeamba catchment NAFE’06 data set

10 Research direction Develop the approaches to simulate microwave radiation of standing water, rocks and urban area. Evaluate the effect of forest, standing water, rocks and urban area on overall brightness temperature. Establish the mixed-pixel model to retrieve soil moisture from SMOS data.


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