资源一号02D卫星影像防护林信息提取方法

Shelter Forest Information Extraction Method of ZY-1-02D Satellite Remote Sensing Images

资源一号02D卫星的成功发射运行,进一步丰富了林草行业各主体业务对遥感数据的应用需求。为测试资源一号02D卫星多光谱和高光谱数据在林业行业的应用能力,文章选取防护林监测这一森林资源调查监测主体业务内容,以河北省张北县为研究区,基于影像光谱信息与比值植被指数(RVI),开展了资源一号02D卫星影像数据对农田防护林遥感信息提取能力应用测试,并与高分二号(GF-2)卫星、陆地卫星-8(Landsat-8)卫星陆地成像仪(OLI)等遥感影像提取结果进行了对比验证。研究结果表明:基于资源一号02D卫星影像光谱信息和常用监督分类方法可较好地提取农田防护林的空间分布信息。其中,多光谱数据提取防护林正确率为94.12%,冗余误差为2.94%,遗漏误差为2.94%;高光谱数据提取防护林正确率为82.35%,冗余误差为8.82%,遗漏误差为8.82%。资源一号02D卫星能够较好地满足防护林监测业务对遥感数据的需求,可为进一步大范围防护林监测业务应用及开展其他森林资源调查等业务提供数据支持,林业行业应用前景广阔。

The successful launch and operation of ZY-1-02D satellite further enriches the application requirements of remote sensing data for all main businesses in the forest and grass industry.In order to test the applicability of ZY-1-02D multi-spectral and hyperspectral data in forestry,shelter forest monitoring is selected as a main application content.This paper takes Zhangbei County in Hebei province as research area and based on image spectral information and ratio vegetation index(RVI),ZY-1-02D image data are used to test the remote sensing information extraction ability of shelter forest.Results were compared and verified with GF-2 and Landsat-8 OLI data extraction results.Results show that the spatial distribution information of shelter forest can be well extracted based on ZY-1-02D spectral information and common supervised classification methods.The accuracy rate,redundancy error and omission error of ZY-1-02D multi-spectral data results are 94.12%,2.94%,and 2.94%and these indicators of ZY-102D hyperspectral data results are 82.35%,8.82%and 8.82%respectively.The test results show that ZY-1-02D satellite can better meet the requirements of remote sensing data for shelter forest monitoring application.It can provide data support for further large-scale shelter forest monitoring application,and other forest resource survey application and the prospect of forestry application is broad.