联合雷达干涉、摄影测量与激光雷达数据的区域森林生物量制图研究

项目名称： 联合雷达干涉、摄影测量与激光雷达数据的区域森林生物量制图研究

项目编号： No.41471311

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 倪文俭

作者单位： 中国科学院遥感与数字地球研究所

项目金额： 90万元

中文摘要： 区域森林生物量图可为全球变化特别是碳循环等研究提供有力的科学验证数据。本研究将以发展植被摄影测量模型和相干山区森林雷达后向散射模型为基础，以探索多源遥感数据有效协同的新机制为主要方法,以高精度的区域森林生物量制图为目标，通过植被摄影测量模型的模拟,分析图像分辨率、观测几何和季节因素对森林区域摄影测量点云数据的影响规律，通过数据选择和处理方法的改进得到最优的森林冠层顶部高程数据；通过相干山区森林雷达后向散射模型的模拟，分析地形和时间去相干对雷达干涉相位的影响，进一步发展高分辨率地形数据支持下的雷达干涉数据处理方法，得到最优的散射相位中心高程数据；联合森林冠层顶部高程数据与散射相位中心高程数据，借助于激光雷达点采样数据，完成对森林高度的测量，进而实现以树高信息作为附加约束条件的基于查找表方法的区域森林生物量制图。本项目将有助于提高我国自有卫星数据的利用率，增强我国对森林资源的自动化监测能力。

中文关键词： 多遥感器协同观测；主动微波遥感；雷达遥感；激光雷达；多角度遥感

英文摘要： The accurate biomass map of regional/global forest is necessary for the study of global changes, especially for the research of carbon cycle. This study focuses on the model based accurate mapping of forest biomass through the data synergies of InSAR, photogrammetry and lidar data. The computer based model for bidirectional reflectance of forest will be modified to simulate the stereo imageries. The effects of image resolutions, observation geometry and seasons on the scattering pattern of points cloud derived from stereo imageries over forested area will be investigated. The digital surface model (DSM) will further be produced based on optimized processing of stereo imageries. The forest radar backscattering model will be modified to account for the terrain effects. The influence of terrain and temporal decorrelation on the InSAR phase will be investigated. The digital terrain model (DTM) will be generated by the processing of InSAR data with the support of high resolution DSM. Then the forest height will be estimated based on the difference between DSM and DTM with the help of lidar data. The accurate biomass mapping will be achieved by using the lookup table method and taking the forest height as additional constraint. The accomplishment of this proposal will improve the utilization of Chinese satellite data, and also will enhance the automatic monitoring of Chinese forest resources.

英文关键词： mutiple data;active microwave;SAR;Lidar;multiple-angle