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基于ERDAS的辽河干流中下游植被覆盖度监测研究
引用本文:谷红梅,郭嘉,张泽中.基于ERDAS的辽河干流中下游植被覆盖度监测研究[J].水电能源科学,2015,33(3):132-134.
作者姓名:谷红梅  郭嘉  张泽中
作者单位:华北水利水电大学 水利学院, 河南 郑州 450045
基金项目:国家自然科学基金项目(51190093)
摘    要:为分析辽河保护区成立后辽河干流中下游植被覆盖度变化情况,采集辽河干流两景同期遥感影像数据,利用ERDAS IMAGINE软件处理分析,通过提取归一化植被指数,建立像元二分模型计算出该地区植被覆盖度,并使用ISODATA算法对植被覆盖度进行非监督分类。结果表明,植被覆盖度小于30%的低覆盖面积减少了878.97km2,植被覆盖度为30%~70%的中高覆盖面积增加了883.22km2,说明辽河干流中下游河岸带植被正在持续恢复,植被覆盖度显著提高。

关 键 词:ERDAS  IMAGINE    植被覆盖度    NDVI    遥感    辽河保护区

Research on Vegetation Coverage of Middle and Lower Reaches of Liaohe Basin Based on ERDAS IMAGINE
Abstract:In order to analyze the change of vegetation coverage in middle and lower reaches of Liaohe basin after establishment of the conservation area, based on the remote sensing image data from Liaohe River, normalized vegetation index was extracted and the vegetation coverage was calculated according to the dimidiate pixel model using ERDAS IMAGINE. And then making use of ISODATA, the maps were classified. The results show that the lower vegetation coverage which is less than 30% decreased by 878.97 km2 and the moderate vegetation coverage which is between 30%~70% has increased by 883.22 km2. This indicates that the vegetation of middle and lower reaches of Liaohe River is continuously recovering and the vegetation coverage has increased significantly.
Keywords:ERDAS IMAGINE  vegetation coverage  NDVI  remote sensing  Liaohe conservation area
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