Remote Sensing Classification Method of Slope Field in Loess Hilly and Gully Area of Northern Shaanxi Province
Remote Sensing Classification Method of Slope Field in Loess Hilly and Gully Area of Northern Shaanxi Province
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发表时间：
2004
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通讯作者：
Liu Yong-mei;Yang Qin-ke
中科院分区：
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作者：
Liu Yong-mei;Yang Qin-ke
开垦陡坡地扩大坡地面积对黄土高原水土流失和生态环境恶化具有重要作用。为了有效地实现坡地退耕还林，利用遥感技术获取最新、可靠的坡地空间分布和区域范围信息至关重要。利用陕北黄土丘陵沟壑区的Landsat TM5数据，采用监督与非监督相结合的分类方法提取坡度场等类别。该方法通过提高签名选择精度，大大提高了分类精度。结果表明，综合分类方法适用于黄土丘陵沟壑区的边坡野外调查。
Reclaiming steep slope land to extend the area of slope fields plays a very important role in soil and water loss and eco-environment deterioration in the Loess Plateau. In order to convert farmland into forest on slope land effectively, obtaining up-to-date and reliable information on the spatial distribution and regional extent of slope fields by remote sensing is of critical importance. Using Landsat TM5 data of the loess hilly and gully area of northern Shaanxi Province, integrated supervised and unsupervised classification were applied to extract slope field and other categories. By improving the signature selection accuracy, this method improves classification accuracy greatly. The result shows that integrated classification is suitable to slope field investigation in the loess hill and gully area.