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The potential information in the temperature difference between shadow and sunlit of surfaces and a new way of retrieving the soil moisture
Authors:ZHANG Renhua  SU Hongbo  Li Zhaoliang  SUN Xiaomin  TANG Xinzhai  FBecker
Institution:1. Institute of Geography Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. Laboratoire des Sciences de l'Image, de l'Informatique et de la Teledetection, 67400 Illkirch, France
3. nstitute of Geography Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
4. Laboratoire des Sciences de l'Image, de l'Informatique et de la Teledetection, 67400 Illkirch, France Correspondence should be addressed to Zhang Renhua (email: rhzhang@dls.iog.ac.cn
Abstract:The thermal inertia and plant water stress index are often adopted to estimate soil moisture available for crops or plants. However, it is not very easy to obtain two temporal temperatures for thermal inertia model and air temperature for the plant water stress mode. Shadows of ground objects are often referred to noise on visible and near infrared remote sensing. But the difference of temperature between shadows and sunlit contains rich information concerning with heat-water status for soil. This paper presented a new way to excavate just by temperature difference usually between shadow and sunlit surface. Experiments validated the ideal. We can adopt thermal camera to measure the differences in the field measurements. However, we must use inversion based on multianglar thermal infrared remote sensing data in airborne and spaceborne. An inverting model was also presented by using Monte-Carlo and the least square method. Results show that this way is feasible.
Keywords:shadow  sunlit  soil water  crop water stress index  multi-angular remote sensing  thermal geometric model
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