Extraction of rocky desertification information using NDVI-Albedo feature space

doi:10.13474/j.cnki.11-2246.2022.0110

Abstract

Abstract: Rocky desertification is one of the most crucial ecological and environmental problems in the karst area of Southwest China. Monitoring rocky desertification is an important task for the prevention and control of rocky desertification. Taking a typical rocky desertification research area of Dougu town in western Weining as an example, based on Landsat8 OLI remote sensing data, the normalized vegetation index(NDVI) and Albedo of the research area are calculated, and the rocky desertification difference index (RSDDI) is constructed through the NDVI-Albedo feature space to extract the rocky desertification information and verify its accuracy. Studies have shown that the rocky desertification difference index constructed based on the NDVI-Albedo feature space method can extract and classify rocky desertification information more accurately and conveniently, and the accuracy of the mapping for moderate rocky desertification and severe rocky desertification is both reaching more than 89%, the extraction effect is excellent, which is conducive to the quantitative assessment and monitoring of rocky desertification in the southwest of China karst area.

Key words: rocky desertification, NDVI-Albedo feature space, remote sensing, RSDDI

CLC Number:

P237

LUO Jie, LIU Suihua, RUAN Ou, HU Haitao. Extraction of rocky desertification information using NDVI-Albedo feature space[J]. Bulletin of Surveying and Mapping, 2022, 0(4): 56-60,82.

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