Evaluation of the potential of ASAR data to estimate impervious surface area
Estimation of Impervious Surface Area (ISA) fromsatellite images is crucial towards many environmental issues.However, many difficulties remain to be addressed, especially incloudy areas. In this paper, the potential of ASAR data is evaluatedfor mapping ISA. The Spectral Mixture Analysis (SMA) isemployed to estimate ISA from ETM+image. Then, the ISA isextracted from ASAR data according to the characteristics of SAR.Thirdly, a decision fusion is used to fuse the results from ETM+and ASAR images. Accuracy assessment shows that, by just usingASAR image, the accuracy (total precision: 0.6815; Kappacoefficient: 0.3557) is lower than that using only ETM+image (totalprecision: 0.7450; Kappa coefficient: 0.4806). However, the fusedresult (total precision: 0.7612; Kappa coefficient: 0.5159) gives abetter accuracy than using single data source, indicating thatASAR data is able to provide complementary information for ISAsince microwave works on all-weather conditions.
Hongsheng ZHANG Yuanzhi ZHANG Hui LIN
Institute of Space and Earth Information Science The Chinese University of Hong Kong Shatin, New Territories, Hong Kong
国际会议
The 19th International Conference on Geoinformatics(第19届国际地理信息科学与技术大会 19 Geoinformatics)
上海
英文
1-6
2011-06-01（万方平台首次上网日期，不代表论文的发表时间）