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青海高原春秋季地表土冻融的微波遥感监测
引用本文: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,1997,1(2):139-144.
作者姓名:曹梅盛  张铁钧
作者单位:中国科学院兰州冰川冻土研究所!兰州730000(曹梅盛),美国NASA/Goddard空间飞行中心!GreenbeltMD20771(张铁钧)
基金项目:中国科学院《冰冻圈动态变化基础研究》项目的部分成果
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

关 键 词:地表土冻融  微波遥感  青海高原
收稿时间:8/7/1995 12:00:00 AM
修稿时间:1996/1/15 0:00:00

Monitoring Terrain Soil Freeze/Thaw Condition on Qinghai Plateau in Spring and Autumn Using Microwave Remote Sensing
Cao Meisheng and A. T. C. Chang.Monitoring Terrain Soil Freeze/Thaw Condition on Qinghai Plateau in Spring and Autumn Using Microwave Remote Sensing[J].Journal of Remote Sensing,1997,1(2):139-144.
Authors:Cao Meisheng and A T C Chang
Institution:Lanzhou Institute of Glociology and Geocryology, Chinese Academy of Sciences Lanzhou 730000;NASA/Goddard Space Flight Center, Greenbelt, Maryland MD 20771
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
Keywords:Freeze/thaw of terrain soil  Microwave remote sensing  Qinghai Plateau
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