2022年全球生态系统动态调查系统的坡度自适应波形指数产品(GEDI-SAWA)

数据集是全球生态系统动态调查系统（GEDI）的坡度自适应波形指数产品，简称为GEDI-SAWA，旨在降低地形坡度对25 m GEDI大光斑激光波形评估森林垂直结构和地上碳储量的影响。数据集时间跨度为2022/01/01~2022/06/08，共计7047个GEDI-SAWA文件，并依据文件对应的数据获取日期（以天为单位）进行组织。GEDI-SAWA文件采用hdf5格式存储，总存储量为4.9 TB。GEDI-SAWA文件中RHT字段记录了24个不同能量百分位数下的SAWA指数，分别对应5，10，15，……，85，90，95，96，97，98，99和100能量百分位下的SAWA指数。RHT字段采用整形存储，对应单位厘米（cm），转换为米（m）需要乘以转换系数0.01。This dataset is the slope-adaptive waveform index product of the Global Ecosystem Dynamics Investigation (GEDI), abbreviated as GEDI-SAWA, which aims to mitigate the impact of topographic slope on the assessment of forest vertical structure and aboveground carbon stocks using 25-meter GEDI large-footprint laser waveforms. The dataset spans from January 1, 2022 to June 8, 2022, contains a total of 7047 GEDI-SAWA files, and is organized by the data acquisition date (in days) corresponding to each file. GEDI-SAWA files are stored in HDF5 format, with a total storage capacity of 4.9 TB. The RHT field in GEDI-SAWA files records the SAWA indices under 24 different energy percentiles, corresponding to the SAWA indices at 5, 10, 15, ..., 85, 90, 95, 96, 97, 98, 99, and 100 energy percentiles respectively. The RHT field uses integer data type for storage, with the unit of centimeters (cm); converting the values to meters (m) requires multiplying by a conversion factor of 0.01.

搜集汇总

背景与挑战

背景概述

该数据集是2022年全球生态系统动态调查系统（GEDI）的坡度自适应波形指数产品（GEDI-SAWA），旨在通过减少地形坡度的影响来评估森林垂直结构和地上碳储量。数据覆盖全球范围，时间跨度为2022年1月至6月，包含7047个HDF5格式文件，总存储量4.9 TB，并记录了24个能量百分位数的SAWA指标，评估地上生物量的准确度达78%至84%。