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http://dx.doi.org/10.7780/kjrs.2016.32.1.6

Retrieval of background surface reflectance with pre-running BRD components  

Choi, Sungwon (Department of Spatial Information Engineering, Pukyong National University)
Lee, Chang Suk (Department of Spatial Information Engineering, Pukyong National University)
Seo, Minji (Department of Spatial Information Engineering, Pukyong National University)
Seong, Noh-hun (Department of Spatial Information Engineering, Pukyong National University)
Lee, Kyeong-Sang (Department of Spatial Information Engineering, Pukyong National University)
Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.32, no.1, 2016 , pp. 61-65 More about this Journal
Abstract
Importance of remote sensing for surface is increased than past. So many countries try to many ways to retrieve surface reflectance. In this study, we study a Bidirectional Reflectance Distribution Function (BRDF) to retrieve surface reflectance. We apply BRDF using observed surface reflectance of SPOT/VEGETATION (VGT-S1) and angular data to get Bidirectional Reflectance Distribution (BRD) coefficients for calculating scattering. And then we apply BRDF in the opposite direction with BRD coefficients and angular data to retrieve Background Surface Reflectance (BSR). The range of BSR is not over $0.4{\mu}m$ (blue), $0.45{\mu}m$ (red), $0.55{\mu}m$ (NIR). And for validation we compare BSR with VGT-S1, there are bias is from 0.0116 to 0.0158 and RMSE is from 0.0459 to 0.0545. As a result, we confirm that BSR is similar to VGT-S1.
Keywords
BRDF; SPOT/VGT; Background Surface Reflectance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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