Crop LAI inversion based on the passive microwave remote sensing technology
MA Hongzhang1, LIU Sumei1, ZHU Xiaobo2, SUN Genyun3, SUN Lin4, LIU Qinhuo5
1. College of Science, China University of Petroleum, Qingdao 266580, China;
2. China Centre for Resource Satellite Data and Application, Beijing 100094, China;
3. College of Earth Science and Technology, China University of Petroleum, Qingdao 266580, China;
4. Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China;
5. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
The multichannel dual-polarized radiation characteristic database of corn vegetation canopy was constructed by using the corn structure parameters field measured data and the Matrix-Doubling model, and the relations between the emissivity and the transmissivity of the corn canopy were obtained using regression analysis based on the database. These relationships were applied to the microwave radiation propagation equation to compute the microwave radiation bright temperature of the surface covered with corn canopy. The results show that the correlation of the measured LAI value and the model inversion LAI is higher than 0.9, which suggests that the multichannel passive microwave data have considerable application potential in the aspect of corn LAI inversion.
马红章, 刘素美, 朱晓波, 孙根云, 孙林, 柳钦火. 基于被动微波遥感技术的玉米冠层叶面积指数反演[J]. 国土资源遥感, 2013, 25(3): 66-71.
MA Hongzhang, LIU Sumei, ZHU Xiaobo, SUN Genyun, SUN Lin, LIU Qinhuo. Crop LAI inversion based on the passive microwave remote sensing technology. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 66-71.
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2013, Vol. 25 
