基于x波段SAR数据的森林高程反演算法研究

Chen Shen, Jinlan Zhang, Teng Zhu, C. Yue, Wanqiu Zhang
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摘要

森林冠层结构是衡量森林变化和森林覆盖度的重要参数。探索TerraSAR-X/TanDEM-X数据在树高反演中的应用具有重要意义。研究了基于RVoG (random-volume-over-ground)模型的相位差-相位相干震级算法和数字高程模型(DEM)方法。以云南省西双版纳傣族自治州勐拉县为研究区,基于TerraSAR-X/TanDEM-X数据进行森林高度反演。最后,结合现场实测数据对结果进行了验证。对于天然林和橡胶林,DEM高差法震级树高反演算法较好地提高了对大地相位和冠层相位的估计,而传统算法对橡胶林具有较高的反演精度。
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Research on forest height inversion algorithm based on X-band SAR data
Forest canopy structure is an important parameter for measuring forest changes and forest coverages. It is significant to explore the application of TerraSAR-X/TanDEM-X data in tree height inversion. In this research, the phase difference-phase coherence magnitude algorithm and the digital elevation model (DEM) method were investigated based on the random-volume-over-ground (RVoG) model. With Mengla County in Xishuangbanna Dai Autonomous Prefecture in Yunnan Province as the research area, the forest height inversion was performed based on TerraSAR-X/TanDEM-X data. Finally, the results were verified by combining field-measured data. For natural forests and rubber plantations, the DEM height difference method magnitude tree height inversion algorithm improves the estimation of the earth phase and canopy phase favorably, while the traditional algorithm presents a high height inversion precision for rubber plantations.
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