摘要
针对星载激光雷达波形数据估测森林生物量精度较低的问题,研究以冰云陆地高程卫星(Ice,Cloud,and land Elevation Satellite,ICESat)/地球科学激光测高系统(Geoscience Laser Altimeter System,GLAS)回波波形为例,通过修正GLAS回波波形背景噪声阈值,识别GLAS冠层回波波形,设定冠层回波波形起止点位置,提出冠层回波能量值参数Eca,并基于激光断面阵列(Laser Profile Array,LPA)数据校正Eca,得到校正后的冠层回波波形能量值参数ECca,进而估测森林生物量。研究结果显示,GLAS冠层回波波形能量值参数Eca经LPA数据校正前后森林生物量估测精度R2分别为0.87和0.89,RMSE分别为17.28 t/ha和15.76 t/ha。研究结果表明,所提出的冠层回波能量值参数能够有效估测森林生物量,且冠层回波波形能量值参数Eca经LPA数据修正后能够提高森林生物量估测精度。
In view of the low accuracy of the estimation of forest biomass by spaceborne lidar waveform data,Ice,Cloud,and land Elevation Satellite(ICESat)/(Geoscience Laser Altimeter System,GLAS)echo waveform was used as an example,by modifying the background noise threshold of the GLAS echo waveform,identifying the GLAS canopy echo waveform,setting the position of the start and end points of the canopy echo waveform,the canopy echo energy parameter Eca,and based on the Laser Profile Array(LPA)data was corrected to Ecato obtain the corrected canopy echo waveform energy value parameter ECca,and then the aboveground biomass(AGB)was estimated.The research results show that the energy accuracy parameter Ecaof the GLAS canopy echo waveform before and after correction by LPA data was 0.87 and 0.89,respectively,and the RMSE was 17.28 t/ha and 15.76 t/ha,respectively.The research results show that the canopy echo energy value parameter proposed in this paper can effectively estimate forest biomass,and the canopy echo waveform energy value parameter Ecacan be improved by LPA data to improve the estimation accuracy of forest biomass.
作者
蔡龙涛
邢艳秋(指导)
岳春宇
黄佳鹏
崔阳
Cai Longtao;Xing Yanqiu;Yue Chunyu;Huang Jiapeng;Cui Yang(College of Engineering and Technology,Northeast Forestry University,Harbin 150040,China;Beijing Space Electromechanical Research Institute,Beijing 100094,China;Beijing Key Laboratory of Advanced Optical Remote Sensing Technology,Beijing 100094,China)
出处
《红外与激光工程》
EI
CSCD
北大核心
2020年第S02期56-63,共8页
Infrared and Laser Engineering
基金
国家重点研发计划(2017YFD060090402)
北京空间机电研究所开放基金
中央高校基本科研业务费专项资金(2572019AB18)
