| The retrieval of two-dimensional distribution of the earth's surface aerodynamic roughness using SAR image and TM thermal infrared image |
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| 作者姓名： | ZHANG Renhua WANG Jinfeng ZHU Caiying SUN Xiaomin & ZHU Zhilin .Institute of Geographical Sciences and Natural Resources Chinese Academy of Sciences Beijing China .Institute of Surveying and Mapping Information Engineering University of the Chinese People's Liberation Army Zhengzhou China |
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| 作者单位： | ZHANG Renhua 1,WANG Jinfeng 1,ZHU Caiying 1,2,SUN Xiaomin 1 & ZHU Zhilin 1 1.Institute of Geographical Sciences and Natural Resources,Chinese Academy of Sciences,Beijing 100101,China;2.Institute of Surveying and Mapping,Information Engineering University of the Chinese People's Liberation Army,Zhengzhou 450052,China |
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| 基金项目： | 中国科学院知识创新工程项目,国家重点基础研究发展计划(973计划),国家自然科学基金 |
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| 摘 要： | The research for the land surface fluxes has madea quiet great progress for its breakthroughs in the fieldof regional or global interactions between land surfaceand atmosphere. However, many remote sensing mod-els for estimating the land surface fluxes need the pa-rameters of surface momentum, heat, resistance ofwater vapor at a referenced height, which are the func-tion of aerodynamic surface roughness zad. It hasbeen validated that the retrieval of the land surfacefluxes is very sensitive to…
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The retrieval of two-dimensional distribution of the earth’s surface aerodynamic roughness using SAR image and TM thermal infrared image |
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| ZHANG Renhua ,WANG Jinfeng ,ZHU Caiying ,,SUN Xiaomin & ZHU Zhilin .Institute of Geographical Sciences and Natural Resources,Chinese Academy of Sciences,Beijing ,China,.Institute of Surveying and Mapping,Information Engineering University of the Chinese People''''s Liberation Army,Zhengzhou ,China.The retrieval of two-dimensional distribution of the earth's surface aerodynamic roughness using SAR image and TM thermal infrared image[J].Science in China(Earth Sciences),2004,47(12):1134-1146. |
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| Authors: | Email author" target="_blank">Zhang?Renhua?Email author Wang?Jinfeng Zhu?Caiying Sun?Xiaomin Zhu?Zhilin |
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| Institution: | 1. Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
2. Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China;Institute of Surveying and Mapping, Information Engineering University of the Chinese People's Liberation Army, Zhengzhou 450052,China |
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| Abstract: | After having analyzed the requirement on the aerodynamic earth’s surface roughness in two-dimensional distribution in the
research field of interaction between land surface and atmosphere, this paper presents a new way to calculate the aerodynamic
roughness using the earth’s surface geometric roughness retrieved from SAR (Synthetic Aperture Radar) and TM thermal infrared
image data. On the one hand, the SPM (Small Perturbation Model) was used as a theoretical SAR backscattering model to describe
the relationship between the SAR backscattering coefficient and the earth’s surface geometric roughness and its dielectric
constant retrieved from the physical model between the soil thermal inertia and the soil surface moisture with the simultaneous
TM thermal infrared image data and the ground microclimate data. On the basis of the SAR image matching with the TM image,
the non-volume scattering surface geometric information was obtained from the SPM model at the TM image pixel scale, and the
ground pixel surface’s equivalent geometric roughness-height standard RMS (Root Mean Square) was achieved from the geometric
information by the transformation of the typical topographic factors. The vegetation (wheat, tree) height retrieved from spectrum
model was also transferred into its equivalent geometric roughness. A completely two-dimensional distribution map of the equivalent
geometric roughness over the experimental area was produced by the data mosaic technique. On the other hand, according to
the atmospheric eddy currents theory, the aerodynamic surface roughness was iterated out with the atmosphere stability correction
method using the wind and the temperature profiles data measured at several typical fields such as bare soil field and vegetation
field. After having analyzed the effect of surface equivalent geometric roughness together with dynamic and thermodynamic
factors on the aerodynamic surface roughness within the working area, this paper first establishes a scale transformation
model to calculate the aerodynamic surface roughness from surface equivalent geometric roughness. The final result retrieved
from above series of models was validated using the filed measurements. It is concluded that the proposed approach is operational
and feasible to derive the aerodynamic surface roughness at the pixel scale from a combination of the SAR and TM images. |
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| Keywords: | surface geometric roughness aerodynamic surface roughness SAR backscattering model moisture retrieval model roughness transformation model |
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