青海高原春秋季地表土冻融的微波遥感监测

曹梅盛; 张铁钧

doi:10.11834/jrs.19970211

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专辑

青海高原春秋季地表土冻融的微波遥感监测
Monitoring Terrain Soil Freeze/Thaw Condition on Qinghai Plateau in Spring and Autumn Using Microwave Remote Sensing
1997年第2期页码：139-144
纸质出版：1997
DOI： 10.11834/jrs.19970211
稿件说明：

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[1]曹梅盛,张铁钧.青海高原春秋季地表土冻融的微波遥感监测[J].遥感学报,1997(02):139-144. DOI： 10.11834/jrs.19970211.

Cao Meisheng. Monitoring Terrain Soil Freeze/Thaw Condition on Qinghai Plateau in Spring and Autumn Using Microwave Remote Sensing[J]. Journal of Remote Sensing, 1997, (2): 139-144. DOI： 10.11834/jrs.19970211.

摘要

用青海高原地区 1983年的SMMR18及 37GHz水平极化微波亮温记录与台站地表 5cm深温度实况相比较

统计确定部分考虑含水量对区分地表土冻融影响的亮温T37H及亮温谱梯度SG两参数综合模式

区分的正确率达 74%。青海高原地处干旱半干旱环境

春季地表土含水量低

Zuerndorfer提出的负亮温谱梯度

在春季区分冻融的效果并不明显。该文作了改进

效果明显

Abstract

The station temperature measuments at 5 cm depth in Qinghai Plateau are compared with the records of horizontally polarized brightness temperature at 37 and 18 GHz from SMMR in 1983 The statistical analysis for classification freeze/thaw condition is used to determine a comprehensive algorithm of two parameters:brightness temperature at 37 GHz and spectral gradient of brightness temperature.It is partly considered that the influence of moisture content on classification

the accuracy of classification still reaches 74%.Since the Qinghai Plateau is located in an arid environment

the soil moisture content is low in Spring and the spectral gradient does not affect the increasing accuracy for classification