高精度全球卫星激光测高高程控制点数据集（2019）

本数据集为全球高精度高程控制点数据集，包含各个高程控制点地理定位，高程，采集时间等信息。 ICESat-2卫星的激光测高数据精度受到许多因素的影响，如大气条件、有效载荷仪器噪声、探测目标地形起伏等，导致精度不确定。该数据集通过综合评估标签筛选与冗余观测约束准则，对ICESat-2卫星的2019年全年测高观测数据进行筛选提取，以期为地形测图或依赖良好高程信息的其他科学领域提供高精度的全球高程控制点。经验证，平地（坡度<2°）、丘陵（2°≤坡度<6°）、山地（6°≤坡度<25°）区域的高程精度分别满足0.5m、0.7m、1.5m的精度要求。

This is a global high-precision elevation control point dataset, which contains the geographic coordinates, elevation values, acquisition time and other relevant information of each elevation control point. The accuracy of laser altimetry data from the ICESat-2 satellite is influenced by multiple factors, including atmospheric conditions, payload instrument noise, topographic relief of detection targets and so on, leading to uncertain data accuracy. This dataset screens and extracts the full-year altimetry observation data of the ICESat-2 satellite in 2019 based on comprehensive evaluation of label screening and redundant observation constraint criteria, aiming to provide high-precision global elevation control points for topographic mapping or other scientific fields that rely on accurate elevation information. Verification results demonstrate that the elevation accuracy in flat areas (slope < 2°), hilly areas (2° ≤ slope < 6°) and mountainous areas (6° ≤ slope < 25°) meets the accuracy requirements of 0.5 m, 0.7 m and 1.5 m respectively.

搜集汇总

背景与挑战

背景概述

该数据集是基于ICESat-2卫星2019年全年激光测高观测数据生成的高精度全球高程控制点集合，包含地理定位、高程和采集时间等信息，通过筛选提取确保在平地、丘陵和山地区域的高程精度分别达到0.5米、0.7米和1.5米。数据集以MATLAB格式存储，空间分辨率为100米至1千米，旨在为地形测图和其他依赖高精度高程信息的科学领域提供支持。