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基于光谱角度匹配方法提取黑土边界
Authors
刘焕军
张新乐
张树文
李颖
Publication date
1 January 2009
Publisher
Abstract
在RS与GIS环境下,用土地利用、土壤图等获取遥感监督分类的感兴趣区,基于MODIS反射率产品、运用光谱角度匹配等方法进行黑土边界提取研究。结果表明:基于MODIS反射率数据的土壤遥感分类方法,可以提取黑龙江省黑土边界,光谱角度匹配方法分类结果最好,黑龙江省黑土带北部分类精度高于南部;由于植被覆盖、光谱特征相似等原因,其他土壤分类结果相对较差;由于东北地区裸土时间相对较长,MODIS的高时间分辨率特性有利于提高土壤遥感分类精度;在GIS的支持下,充分利用辅助信息选择遥感分类的感兴趣区,可以提高土壤遥感分类精度;引入地形、气候等信息,分类精度得到显著提高、提取的黑土边界信息更准确
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Northeast Institute of Geography and Agroecology, Chinese Academy Of Sciences
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Last time updated on 21/04/2018