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作 者:吴志杰[1,2] 王猛猛[2] 陈绍杰[1] 邹丹[1]
机构地区:[1]龙岩学院资源工程学院,福建龙岩364012 [2]中国科学院遥感与数字地球研究所,北京100094
出 处:《生态科学》2016年第5期200-207,共8页Ecological Science
基 金:福建省自然科学基金项目(2012D104)
摘 要:资源过度开采对区域的负环境效应日益显著,不断造成严重的资源、环境与灾害问题。以福建省永定矿区为研究区,利用遥感生态指数(Remote sensing ecology index,RSEI),基于Landsat-7和Landsat-8影像数据分析永定矿区2002—2014年的生态状况、时空变化特征及其驱动因素。结果表明:1)RSEI适用于煤矿区的生态环境监测;2)自2002年到2014年RSEI均值从0.705降至0.699,虽然RSEI均值降幅不大,但RSEI变化空间分异明显,盆地四周生态质量在提高,而煤矿区、石灰石矿区、工业园区和村镇建筑区生态质量在降低;3)植被覆盖度与RSEI之间有较好的对应关系,植被覆盖变化是影响生态质量变化的关键因素。The over-exploitation of the resources posed obviously negative environmental effects, which has already brought in serious resource, environment and disaster problems. In this study, the remote sensing ecology index (RSEI) of Yongding mine in Fujian Province during 2002 to 2014 was extracted from Landsat-7 and Landsat-8 images, and the ecological situation, the spatial-temporal variation and driving factors of the ecological environment during 2002 to 2014 were analyzed based on the RSEI. The results showed that RSEI was suitable for monitoring ecological environment of the coal mining area, and the mean RSEI value of Yongding mine fell from 0.705 in 2002 to 0.699 in 2014. Although only a small decline in mean RSEI was observed, the RSEI variation obviously presented spatial differentiation, e.g., the ecological environmental quality in the area around the basin was improved while that of coal mines, limestone mines, industrial parks and buildings notably became worse. Moreover, there were strong correlations between RSEI and vegetation coverage, and vegetation coverage was a key factor leading to the variation of ecology environment quality.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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