Research of desert and sandy desertification land partition in North China based on remote sensing technology

Huijun Gao; Qigang Jiang

doi:10.1117/12.681784

9 June 2006 Research of desert and sandy desertification land partition in North China based on remote sensing technology

Huijun Gao, Qigang Jiang

Author Affiliations +

Proceedings Volume 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China; 62000O (2006) https://doi.org/10.1117/12.681784
Event: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 2005, Guiyan City, China

Abstract

According to the feature of geology, geomorphology, vegetation and human action affect on desert and sandy desertification, by establishing the partition principle such as zone difference, developing rule and multilevel list, we develop the partition system principally based on geology, geomorphology and climate, and secondary based on spatial distribution feature. Using remote sensing technology, we divided the desert and sandy desertification land into drouthy desert, sandy desertification zone in the west of Helan mountain; Helan mountain-Daxinanlin drouthy and semiarid desert, sandy desertification zone; semiarid and half wetness sandy desertification in the east of Helan mountain. We did the actuality analysis of desert and sandy desertification land. The result as below: the area was comparatively little and the intensity was biggish in drouthy desert, sandy desertification zone in the west of Helan mountain; both of the area and intensity were biggish in Helan mountain-Daxinanlin drouthy and semiarid desert, sandy desertification zone; the intensity was less and the area was biggish in semiarid and half wetness sandy desertification in the east of Helan mountain.

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Huijun Gao and Qigang Jiang "Research of desert and sandy desertification land partition in North China based on remote sensing technology", Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000O (9 June 2006); https://doi.org/10.1117/12.681784

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KEYWORDS

Remote sensing

Vegetation

Climatology

Geology

Environmental sensing

Iron

Agriculture

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