Paper
27 September 2006 Remote sensing monitoring the spatiotemporal changes of alpine grassland coverage in northern Tibet
Qingzhu Gao, Yue Li, Yunfan Wan, Erda Lin, Wenping Sheng, Kai Yang
Author Affiliations +
Abstract
Ranging from 83°41' to 95° 11' east longitude and from 30° 27' to 35°39' northern latitude, Northern Tibet in the highest of Tibet is known as the ridge of world with the mean elevation of 4500 meter. Northern Tibet is the headstream of Yangtze River, Nu River and Lancang River. The environmental condition of this area has significant effect on the mainly rivers, climate and eco-environment of Tibet and the whole country, so much as the global for the rigorous natural condition and fragile ecosystem. Based on the Normalized Difference Vegetation Index (NDVI) data (from 1981 to 2004), this paper has revealed the dynamics of grassland vegetation coverage of Northern Tibet by the method which the remote sensing technique integrated with ground measurement. The preliminary results are as follows: The grassland vegetation coverage of Northern Tibet is very low that the average value is only 29.7% for many years. In terms of spatial distribution of grassland vegetation coverage, the eastern region of Northern Tibet has a relatively higher coverage of grassland vegetation; the western has the lowest vegetation coverage. During the period of 1981-2004, the average grassland vegetation coverage had a slight decreasing trend, but fluctuation is relative greatly; the grassland vegetation coverage in the western region had a marked rising trend while the coverage in the middle, eastern and northern regions had a decreasing tendency.
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Qingzhu Gao, Yue Li, Yunfan Wan, Erda Lin, Wenping Sheng, and Kai Yang "Remote sensing monitoring the spatiotemporal changes of alpine grassland coverage in northern Tibet", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62982J (27 September 2006); https://doi.org/10.1117/12.678398
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KEYWORDS
Vegetation

Remote sensing

Near infrared

Environmental sensing

Agriculture

Climatology

Ecosystems

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