| 科尔沁沙地土壤表层水分遥感反演模型研究 |
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| 作者姓名： | ZHANG Zonghai ZHANG Jianping |
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| 作者单位： | 内蒙古航空遥感测绘院; |
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| 摘 要： | 为了对三北防护林体系和科尔沁沙地的沙漠化进行监测,选择内蒙古翁牛特旗作为实验区,利用LandsatTM遥感数据对实验区进行了地表土壤水分反演。文中采用热惯量法、温度植被干旱指数法和BP神经网络法进行地表土壤水分的反演,3种算法均能较好地反映地表水分的空间分布趋势。并对三种反演算法建立的土壤含水量遥感信息模型进行了精度检验。统计结果表明:BP神经网络法建立的遥感信息模型精度最高;温度植被干旱指数法建立的遥感信息模型精度居中;基于热惯量法建立的土壤含水量遥感信息模型精度最低。实验结果为三北防护林和科尔沁沙地沙漠化监测奠定了部分数据基础。
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| 关 键 词： | 地表土壤水分反演 热惯量法 温度植被干旱指数法 BP神经网络 |
Research on the soil surface moisture retrieval model by remote sensing in Horqin sandy |
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| ZHANG Zonghai,ZHANG Jianping.Research on the soil surface moisture retrieval model by remote sensing in Horqin sandy[J].Journal of water resources and water engineering,2011,22(6):127-132,136. |
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| Authors: | ZHANG Zonghai ZHANG Jianping |
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| Affiliation: | ZHANG Zonghai,ZHANG Jianping (Inner Mongolia Aviation Remote Sensing Surveying and Mapping Court,Hohhot 010010,China) |
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| Abstract: | In order to monitor the desertification of the three-north shelterbelt and Horqin sandy,the paper selected Wengniute county of Inner Mongolia as an experimental area and displaied the surface soil moisture by using Landsat TM remote sensing data.This paper adopted the thermal inertia method,temperature vegetation drought index method and the BP neural network method to display the surface soil moisture,all of the three algorithms can better reflect the spatial distribution trend of surface soil moisture.And... |
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| Keywords: | soil surface moisture retrieval thermal inertia method temperature vegetation dryness index BP neural network |
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