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运用ENVI实现SPOT-5卫星影像的RVI提取
引用本文:尹芬,丁美青.运用ENVI实现SPOT-5卫星影像的RVI提取[J].测绘与空间地理信息,2016(1).
作者姓名:尹芬  丁美青
作者单位:长沙理工大学交通运输工程学院,湖南长沙,410076
基金项目:湖南省科技计划项目(2015NK3035)
摘    要:运用ENVI软件处理长沙地区的SPOT-5影像,将全色影像和多波段影像进行融合,分析融合后的影像,再选择感兴趣区域进行影像裁剪;采用ENVI的波段运算(Band3/Band2)提取该地区比值植被指数并进行分析。结果表明:比值植被指数对植被覆盖率较高的区域有非常高的敏感度;在植被覆盖率小于50%的时候,其敏感度明显降低,在绿色植被覆盖区域的比值植被指数远大于1,在裸露地表、建筑物、水体等没有植被覆盖区域的比值植被指数则在1附近,而比值植被指数大于2的则出现在高覆盖健康绿色植被上。

关 键 词:SPOT-5  比值植被指数  ENVI  提取实现  波段运算

RVI Extraction of SPOT-5 Satellite Images Using ENVI
Abstract:This article is used ENVI software to process the SPOT-5 image of the region of Changsha.Firstly, using the panchromat-ic image with multi-band image.After getting more ideal Remote Sensing image, analyze the fusion image according to the needs of this design, and then draw the interested area on the image complied with the design requirements, crop the image.Finally, use the band math of ENVI (Band3/Band2) to extract the ratio vegetation index of this region and analyze it.The results of this design are showed that the ratio vegetation index has a very high sensitivity in the area with higher vegetation coverage.The sensitivity is signifi-cantly reduced when the vegetation coverage of one area less than 50%.For example, the ratio vegetation index is far higher than 1 in the area covered with green vegetation.In the area without vegetation such as bare surface, buildings, water, and so on;the index is ranged around 1.But the situation that the index is higher than 2 can only happen on the area with high coverage of healthy green veg-etation.
Keywords:SPOT-5  ratio vegetation index  ENVI  extraction  band math
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