| 基于多角度微波辐射亮温数据反演冬小麦光学厚度 |
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| 引用本文： | 王琦,柴琳娜,赵少杰,张涛.基于多角度微波辐射亮温数据反演冬小麦光学厚度[J].遥感技术与应用,2015,30(3):424-430. |
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| 作者姓名： | 王琦 柴琳娜 赵少杰 张涛 |
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| 作者单位： | (1.北京师范大学遥感科学国家重点实验室,北京 100875;;
2.北京师范大学遥感与地理信息系统研究中心,北京 100875;;
3.北京师范大学地理学与遥感科学学院,北京 100875) |
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| 基金项目： | 国家自然科学基金项目（41171259）,国家重点基础研究发展计划（2013CB733406）。 |
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| 摘 要： | 基于高级积分方程模型(Advanced Integrated Emission Model,AIEM),构建了包含宽范围土壤参数的C波段(6.925GHz)多角度裸露土壤发射率模拟数据库,利用该模拟数据分析了不同观测角度的裸露土壤发射率极化差之间的关系。在此基础上,结合ω-τ零阶辐射传输模型发展了C波段低矮植被光学厚度反演算法,并利用地基微波辐射计观测数据开展了冬小麦的光学厚度反演。结果显示,冬小麦光学厚度反演结果与实测冬小麦LAI在变化趋势上具有较好的一致性,反演算法具有一定的可行性。
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| 关 键 词： | 被动微波遥感 光学厚度 多角度亮温 AIEM模型 冬小麦 |
Inversion of Winter Wheat Optical Depth based on Multi-angular Microwave Brightness Temperature |
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| Wang Qi,Chai Linna,Zhao Shaojie,Zhang Tao.Inversion of Winter Wheat Optical Depth based on Multi-angular Microwave Brightness Temperature[J].Remote Sensing Technology and Application,2015,30(3):424-430. |
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| Authors: | Wang Qi Chai Linna Zhao Shaojie Zhang Tao |
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| Affiliation: | (1.State Key Laboratory of Remote Sensing Science,Beijing Normal University,Beijing 100875,China;;
2.Research Center for Remote Sensing and GIS,Beijing Normal University,Beijing 100875,China;;
3.School of Geography and Remote Sensing,Beijing Normal University,Beijing 100875,China) |
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| Abstract: | Based on the Advanced Integrated Emission Model (AIEM),this study established simulation database of multi\|angular bare soil emissivity at band\|C which contains a wide range of soil parameters,and uses the simulation data to analyze the relationship of the bare soil emissivity polarization differences between observation angles.Therefore,this paper used ω\|τ model to develop an inversion method to estimate vegetation optical depth,and using the measured values obtained by ground based microwave radiometer to invert winter wheat optical depth.The analysis result shows that the trend of inversion value of winter wheat optical depth is consistent well with the trend of measured values of LAI of winter wheat,which proves that the inversion method is feasible. |
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| Keywords: | Passive microwave remote sensing Optical depth Multi-angular brightness temperature AIEM model Winter wheat |
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