文献类型：会议论文

英文题名：FOREST CANOPY HEIGHT ESTIMATION AT FOOTPRINT SCALE BASED ON AIRBORNE LIDAR METRIC IN THE HETEROGENEOUS LANDSCAPE

作者：Hu, Kailong[1] Liu, Qingwang[2]

第一作者：Hu, Kailong

通信作者：Hu, KL[1]

机构：[1]China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing, Peoples R China

会议论文集：IEEE International Geoscience & Remote Sensing Symposium

会议日期：JUL 23-28, 2017

会议地点：Fort Worth, TX

语种：英文

外文关键词：ICESat/GLAS; SRTM; canopy height; topographic correction; slope

年份：2017

摘要：In this paper, a method which based on airborne lidar metric was put forward to estimate forest canopy height at footprint scale. ICESat/GLAS was applied for providing the vertical structure information by lidar waveform. In the heterogeneous landscape, topographic change will reshape the waveform and leads to uncertainty of canopy height estimation. SRTM digital elevation data can provide the slope distribution, which was used to describe topographic change. This method comprehensively took account for the impacts of footprint diameter, slope, and surface roughness. The physically-based equation was fitted using airborne lidar metric. The result showed: slope change in the study area directly impacted GLAS-based canopy height estimation accuracy. As slope level increased, uncorrected RMSE increased. After topographic correction, corrected RMSE stabilized at between 3.26m and 3.88m.