基于X波段极化干涉SAR数据的思茅松林冠层高度反演  

Inversion of Pinus kesiya Forest Canopy Height Based on X-band Polarimetric Interference SAR

作　　者：陈子怡 章皖秋 岳彩荣 CHEN Ziyi;ZHANG Wanqiu;YUE Cairong(College of Forestry, Southwest Forestry University, Kunming 650224, Chin)

机构地区：[1]西南林业大学林学院,云南昆明650224

出　　处：《林业调查规划》2018年第3期22-27,共6页Forest Inventory and Planning

基　　金：国家自然科学基金(31260156);云南省林学一流学科建设经费资助(51600625)

摘　　要：极化干涉SAR数据在森林冠层高度反演的应用是SAR领域的研究热点。经典的三阶段冠层高度反演算法对体相干系数的解算存在着一定的误差。为提高冠层高度反演的精度,在经典三阶段算法的基础上提出一种基于相位不变原则的三阶段改进算法,并结合相干优化来提高冠层高度反演精度。通过采用星载TanDEM-X全极化干涉数据实现普洱地区思茅松林冠层高度的反演,并结合实测数据进行精度检验。结果表明,改进后的三阶段算法能够较为准确地反演森林冠层高度。The application of polarimetric interference SAR data in the inversion of forest canopy height is a research focus in the field of SAR. The classic three-stage inversion of canopy height exists error in calculation of volume correlation. The improved algorithm combining with coherent optimization was proposed based on the principle of phase constant to improve the inversion accuracy of canopy height. The experiment used spaceborne TanDEM-X full polarimetric interference data to inverse the canopy height of Pinus kesiya forest in Pu＇er and tested the accuracy of results with the measured data. The results showed that the inversion of canopy height was accurate based on the improved three-stage inversion algorithm.

关 键 词：极化干涉 合成孔径雷达(SAR) 森林冠层高度 三阶段算法 RVoG模型 树高反演 

分 类 号：S771.8[农业科学—森林工程]