发射率
遥感
环境科学
归一化差异植被指数
土壤科学
地质学
物理
光学
海洋学
气候变化
作者
Shanshan Chen,Huazhong Ren,Rongyuan Liu,Yunzhu Tao,Yitong Zheng,Hongcheng Liu
标识
DOI:10.1109/tgrs.2020.3022772
摘要
On the basis of the spectral shape of thermal infrared (TIR) emissivity for sandy land, a remote sensing sand index called the sand differential emissivity index (SDEI) is proposed in this article to simply and conveniently detect sandy land over large areas. The SDEI is evaluated on ground, airborne, and spaceborne thermal emissivity data, and it shows good characterization of sandy land and performs better in sandy land identification than two previous indices. The SDEI was also evaluated in the transition zones of China's four mega-sandy lands and was applied to long-term land surface emissivity to obtain the spatial distribution and variation in China's sandy land from 2000 to 2016. The findings showed that a mean accuracy of 96% and a mean kappa coefficient of 0.83 were obtained in the transition zones, and the sandy land in the transition zone exhibited a decreasing trend over the past 17 years and a significant decline in the Mu Us sandy land. Meanwhile, the sandy land area in China decreased by 3.6×10 4 km 2 (1.53%) by the end of 2016 compared with that in early 2000.
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