| 引用本文: | 麦麦提吐逊?麦麦提,马合木江?艾合买提,陶洪飞,等.基于遥感的疏勒县植被覆盖时空变化研究[J].灌溉排水学报,2021,(4):121-129. |
| MAIMAITITUXUN?Maimaiti,MAHEMUJIANG?Aihemaiti,TAO Hongfei,et al.基于遥感的疏勒县植被覆盖时空变化研究[J].灌溉排水学报,2021,(4):121-129. |
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| 摘要: |
| 【目的】评价疏勒县生态环境质量及生态环境演变过程。【方法】基于Landsat遥感影像数据，利用归一化植被指数NDVI、像元二分模型、中心迁移模型等方法分析了1996—2017年疏勒县植被覆盖时空演化。【结果】①疏勒县植被覆盖分布总体以高植被覆盖为主成大面积片状分布，中、低植被覆盖主要以盖孜河和克孜河为轴线，相对围绕高植被覆盖分散分布；②1996—2017年疏勒县植被覆盖面积和覆盖度均呈增加趋势。2017年的植被覆盖面积比1996年增加了456.4 km2，增加率为38.3%；③疏勒县植被覆盖空间变化上存在一定的区域性和时段性差异。区域上，南部乡镇覆盖度明显增加；时段上，2009—2013年植被覆盖面积增加最明显；④1996—2017年疏勒县植被覆盖中心整体往东南迁移；⑤气候变暖对疏勒县植被覆盖度变化有一定的影响，但短期内人类活动影响更大。灌区改造高效节水、耕地开垦、农作物的种植及林带面积的增加是植被覆盖面积增加的主要因素。【结论】综上可知，气候变暖和生态治理工程等人类活动因素可能是疏勒县植被覆盖面积与覆盖度呈增加的主要原因，这表明疏勒县生态环境保护与治理是科学合理的。 |
| 关键词: 疏勒县；植被覆盖度；NDVI 像元二分模型；中心迁移模型；时空变化 |
| 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 |
