Remote sensing study of vegetation coverage during the period 1992—2014 in Dananhu desert area, Xinjiang
Yuting ZHANG1(), Zhenfei ZHANG1(), Zhi ZHANG2
1. Institute of Mathematical Geology and Remote Sensing, China University of Geosciences, Wuhan 430074, China 2. School of Earth Sciences, China University of Geosciences, Wuhan 430074, China
The Dananhu district in Hami of Xinjiang is a typical gobi desert in Northwest China. In this paper, the authors investigated the temporal-spatial variations of the natural vegetation coverage during 1992―2014 in this region, using correlation analyses and dimidiate pixel model based on the multi-spectral remote sensing data, the local meteorological data, and the digital elevation model. The results show that, from 1992 to 2014, vegetation coverage in the region showed a trend of increase. Generally the vegetation coverage is weakly positively correlated to elevation; locally, however, the plants (mainly juniper tamarisk, haloxylon ammodendron, and reed) are more developed in the relatively depressed localities (saline areas or sandy dry riverbeds) than those in Gobi desert areas. The vegetation coverage is positively correlated to the sunshine duration and evaporation, but unrelated to precipitation and humidity. It is suggested that the natural plants in this regions live on groundwater mainly. The global temperature increasing during 1992-2014 might to some extent promote, instead of retard, the natural vegetation, probably through enhancing the groundwater supply due to glacier melting at nearby mountains.
张宇婷, 张振飞, 张志. 新疆大南湖荒漠区1992—2014年间植被覆盖度遥感研究[J]. 国土资源遥感, 2018, 30(1): 187-195.
Yuting ZHANG, Zhenfei ZHANG, Zhi ZHANG. Remote sensing study of vegetation coverage during the period 1992—2014 in Dananhu desert area, Xinjiang. Remote Sensing for Land & Resources, 2018, 30(1): 187-195.
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