简介:基于地物光谱特征的监督分类一直是用遥感影像解译土地覆被类型的常规方法。基于可见光和近红外波段的光谱反射率构建的NDVI指数的水平高低及时序变化特征对土地覆被类型有高度敏感性和较好的指示性。本文基于时序MODIS-NDVI数据,通过合理选择训练样区对MODIS影象进行监督分类,最终实现对秦岭中部地区各种土地覆被的分类,通过与实地GPS调查数据比较,结果显示分类总体精度达到76.77%,kappa系数为67.22%,分类等级为较好。
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