星载SAR多频段极化干涉数据森林树高反演

大面积森林高度估测对森林可持续经营和森林生物量/碳汇计量具有重要的理论和实践意义。星载多波段全极化干涉微波数据由于其具有穿透性、极化测量和干涉测量等能力，为大面积开展森林结构和高度测量提供了新的方法。本项目以云南省典型的森林类型思茅松林和橡胶林为试验对象，开展基于星载SAR多波段极化干涉数据的森林树高估测方法研究。利用极化干涉理论和方法，研究森林全极化信息相干最优化方法和散射特征分解方法，在此基础上以RVoG模型为基础进行，研究基于植被相干散射模型的树高估测技术。拟通过对星载数据X波段、C波段和L波段的森林散射相位中心分离及相位提取，分析不同波段散射分解的相位中心的差异和对应的森林高度位置，并分析不同森林类型、不同林分结构和地形的影响，以此提出RVoG模型的树高反演的改进方法。最终建立一套融合多频段微波信息融合多频段微波信息的森林树高估测方法和技术。

Large-scale forest height estimation has important theoretical and practical significance for sustainable forest management and forest biomass/carbon sink measurement. The spaceborne multi-band full-polarization interferometric microwave data provides a new technical approach for large-scale forest structure and height measurement due to its penetrability, polarization measurement and interferometry..This project takes the typical forest type of Simao pine forest and rubber forest in Yunnan Province as the test object, and carries out the research on forest tree height estimation method based on multi-band polarization interference data of spaceborne SAR. Based on the theory and method of polarization interference, the coherent optimization method and the scattering feature decomposition method of forest full polarization information will be studied. By using the RVoG model, the tree height estimation technique based on vegetation coherent scatter model will be studied. It is proposed to analyze the phase center of the scattering decomposition of different bands and the corresponding forest by using the forest scattering phase center separation and phase extraction of X-band (TerraSAR/TanDEM-X), C-band (sentienl) and L-band (ALOS 2 PALSAR). The height position and the influence of different forest types, different stand structures and topography will be analyzed to propose an improved method for tree height inversion of the RVoG model. Finally, a set of forest tree estimation methods and.techniques for multi-band microwave information will be established.