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| DOI：10.13522/j.cnki.ggps.2020240 |
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| Spatiotemporal Variation of Vegetation Coverage in Shule County Based on Remote Sensing |
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MAIMAITITUXUN•Maimaiti, MAHEMUJIANG•Aihemaiti, TAO Hongfei, LI Qiao
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College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
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| Abstract: |
| 【Objective】Healthy vegetation is essential to keeping ecosystem function, and understating spatiotemporal change in vegetation coverage in a biome can help evaluate its quality and sustainable production. The purpose of this paper is to test the feasibility of using remote sensing to monitor and evaluate change in vegetation coverage at large scale.【Method】We took Shule country as an example; spatiotemporal evolution of its vegetation coverage was analyzed based on the Landsat remote sensing imageries using normalized vegetation index, pixel dichotomy model and the center migration model. 【Result】①The overall vegetation coverage in the county is high in most areas, with the low and moderate vegetation coverage distributed along the Gaizi and Kezihe rivers proximal to the high vegetation coverage areas. ②Vegetation coverage in the county increased by 456.4 km2 in 2017, up by 38.3%, compared with 1996. ③There was spatial and temporal variation in the increase in vegetation coverage across the county, with increase in towns and villages in the south more significant than in other areas. ④Vegetation coverage has increased from 1996 to 2017, especially between 2009 to 2013, with center of the vegetation coverage moving southeast. ⑤Climate warming impacted the vegetation coverage indirectly in the long-term, while in the short term, anthropogenic activities, including improved irrigation and water-conservation projects, cultivated land reclamation, increase in forest belt area, affected the vegetation more. Increasing vegetation boosted agricultural demand for water, thereby reducing surface water and threatening sustainable development of the county.【Conclusion】Anthropogenic activities were more important than climate warming in increasing vegetation coverage in Shule county, indicating that ecological environment protection and management in the county are scientifically sound. |
| Key words: Shule county; vegetation coverage; NDVI pixel binary model; center migration model; spatial-temporal change |
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