caa a22 4500 445300639 CHVBK 20180317142556.0 cr unu---uuuuu 170323e20100401xx s 000 0 eng 10.1007/s11430-010-0026-y doi (NATIONALLICENCE)springer-10.1007/s11430-010-0026-y Inversion of the asymmetry factor for desert areas of China [Elektronische Daten] [YunZhao Wu, HuaYu Lu, Qiang Liu] Deserts, which have high surface albedo and wide area, are important components of the earth system. It is very important for the research of surface radiation and energy balance to understand the anisotropic scattering of desert areas. The emergence and development of multi-angle remote sensing made possi]e the inversion of the anisotropic scattering of desert areas at the regional or global scale. Firstly, this paper explored the accuracy of the inversion of asymmetry factor using the Hapke model and the simulated single- and multi-phase MISR data. Based on the results, the asymmetry factor of representative surface of desert areas in northwestern China was retrieved. The values of the asymmetry factor retrieved from MISR data were compared with the values retrieved from the laboratory data. The results showed that the single-phase MISR data could be used for the inversion of asymmetry parameter of desert areas. The sign of the asymmetry parameter for the laboratory measurements was positive, which suggests that the surface of laboratory samples is forward scattering. The sign of the asymmetry parameter for MISR data was negative; that is, it is backscattering. The values of the asymmetry parameters retrieved from MISR data were related to the character of the land surface. At Loulan, where the surface was smoother than other sites, retrieved values exhibited the largest negative values of asymmetry factor, suggesting the strongest backscattering. The sand dune area of the Kumtag Desert, which has the greatest roughness, had only slightly negative asymmetry factor values. These findings indicated that at the sensor scale, a rough surface (e.g., dunes) does not necessarily mean more backscattering than a smooth surface. This finding has significant implications for empirical methods (e.g., using the normalized index of backward-scattered radiance minus forward-scattered radiance as an indicator of surface roughness), which should be used carefully for analyzing surface roughness from the remote sensing data. Science in China Press and Springer-Verlag Berlin Heidelberg, 2010 MISR nationallicence Hapke model nationallicence asymmetry parameter nationallicence inversion nationallicence Kumtag Desert nationallicence multi-angle remote sensing nationallicence Wu YunZhao School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China aut Lu HuaYu School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China aut Liu Qiang Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Science China Earth Sciences SP Science China Press 53/4(2010-04-01), 561-567 1674-7313 53:4<561 2010 53 11430 https://doi.org/10.1007/s11430-010-0026-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-0026-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu YunZhao School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China aut NATIONALLICENCE 700 1- Lu HuaYu School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China aut NATIONALLICENCE 700 1- Liu Qiang Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53/4(2010-04-01), 561-567 1674-7313 53:4<561 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer