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，2019-2023）

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2019/04/18~2023/03/16，数据存储总量为51.0 TB，共计73473轨数据，数据依据获取日期（以天为单位）进行组织。文件采用HDF5格式存储，命名方式和GEDI官方发布的产品一致，如文件名称为“GEDI02_C1_sawa_2019108002012_O01959_01_T03909_02_003_01_V002.h5”的GEDI-SAWA文件，对应的GEDI L1B文件名称为“GEDI01_B_2019108002012_O01959_01_T03909_02_003_01_V002.h5”。GEDI-SAWA中字段名为”RHT“即为不同能量百分位下的坡度自适应波形指数，每个光斑记录了24个不同能量高度的SAWA指数，分别对应5th，10th，15th，……，85th，90th，95th，96th，97th，98th，99th和100th能量百分位。SAWA文件中RHT字段单位是厘米（cm），并采用整型格式存储，转为通用单位米（m)需要乘以转换系数（0.01）。

The dataset is the Slope-Adjusted Waveform Index product of the Global Ecosystem Dynamics Investigation (GEDI), abbreviated as GEDI-SAWA, which aims to mitigate the impact of terrain slope on the assessment of forest vertical structure and aboveground carbon stocks using 25 m GEDI large-footprint laser waveforms. The temporal coverage of the dataset spans from April 18, 2019 to March 16, 2023. The total stored data volume is 51.0 TB, with a total of 73,473 tracks of data, and the data is organized by acquisition date (in days). The files are stored in HDF5 format, and the naming convention is consistent with the officially released GEDI products. For example, the GEDI-SAWA file named "GEDI02_C1_sawa_2019108002012_O01959_01_T03909_02_003_01_V002.h5" corresponds to the GEDI L1B file named "GEDI01_B_2019108002012_O01959_01_T03909_02_003_01_V002.h5". In GEDI-SAWA, the field named "RHT" refers to slope-adjusted waveform indices at different energy percentiles. Each footprint records 24 SAWA indices corresponding to 5th, 10th, 15th, …, 85th, 90th, 95th, 96th, 97th, 98th, 99th, and 100th energy percentiles respectively. The unit of the RHT field in SAWA files is centimeters (cm), and it is stored in integer format. To convert it to the standard unit meter (m), a conversion factor of 0.01 must be multiplied.

搜集汇总

背景与挑战

背景概述

该数据集为GEDI-SAWA产品，提供2019-2023年全球森林垂直结构和地上碳储量的坡度自适应波形指数数据，数据量51.03 TB，以HDF5格式存储，适用于遥感研究和生态系统评估。