基于SPOT卫星影像的矿区植被指数研究  

Study on NDVI in Mining Areas Based on SPOT Satellite Images

作　　者：张晓克[1] 胡海峰[1] 康立勋[1] 马超[2] 李方方[2] 

机构地区：[1]太原理工大学矿业工程学院,山西太原030024 [2]河南理工大学测绘与国土信息工程学院,河南焦作454003

出　　处：《山西农业科学》2010年第3期48-51,共4页Journal of Shanxi Agricultural Sciences

基　　金：山西省重大科技攻关项目(2006031099-01-01)

摘　　要：矿区植被指数的研究对土地复垦、生态保护等方面具有指导意义。选用山西省长治市潞安矿区2004—2007年4年7个时相的SPOTⅡ/Ⅳ影像的卫星遥感数据,首先进行了数据处理(包括大气校正、几何校正、裁剪等),提取NDVI,然后进行多项式逼近和傅里叶逼近,得到4年同期的数据,进行定量化比较。结果表明,NDVI能够动态监测植被变化,沉陷区外比沉陷区内的植被指数要高,矿区开采后的地表植被指数随时间呈递减趋势直至稳定。Study on NDVI in mining areas has instructive significance in aspects of land reclamation and ecological protection ect. This paper selectes 7-phase of four-year SPOT Ⅱ/Ⅳ satellite images from 2004 to 2007. First of all, image data processing consisting of atmospheric correction, geometric correction, cutting, extracting NDVI and so on was conducted. Then after poly- nomial approximation and Fourier approximation, data of a four-year period is obtained and quantitative comparison was done. The conclusion is that NDVI can dynamic monitor vegetation changes, NDVI in subsidence areas is higher than outside subsidence areas, NDVI after mining shows decreasing trends over time until steady, which can provide a basis for subsidence damage degree.

关 键 词：矿区 归一化植被指数NDVI 动态监测 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]