全球数字高程改正模型（IC2-GDEM）：基于ICESat-2激光测高的ASTER GDEM高程改正产品

本数据集为全球数字高程模型，空间分辨率约为30 m。该数据集是通过ICESat-2卫星激光测高数据、全球土地覆盖产品与全球植被指数产品，对全球数字高程模型——ASTER GDEM （非水域）的高程进行改正而生成的产品。高程改正的主要原理是在ICESat-2激光测高数据覆盖区域内对ASTER GDEM高程误差进行检验；随后，分析ASTER GDEM高程误差的来源，包括平台位置/定位、大气条件、地形起伏、土地覆盖、异质填充数据等，并构建相应的属性集；最后利用属性集和ICESat-2覆盖范围内的DEM高程误差构建回归模型，对ICESat-2激光测高数据未覆盖区域的ASTER GDEM高程进行改正。经全球范围内的验证，结果表明：本数据集（高程改正后ASTER GDEM产品）的总体高程误差（RMSE）约为 3.37 m，相对于原版ASTER GDEM产品，改正后的高程误差（RMSE）平均降低比例超过45%。

This dataset is a global digital elevation model (DEM) with a spatial resolution of approximately 30 m. This product is generated by correcting the elevation values of the global digital elevation model ASTER GDEM (non-water areas) using ICESat-2 satellite laser altimetry data, global land cover products, and global vegetation index products. The core principle of the elevation correction is as follows: first, validate the elevation errors of ASTER GDEM within the coverage area of ICESat-2 laser altimetry data; then, analyze the sources of these errors, including platform position/orientation, atmospheric conditions, topographic relief, land cover, heterogeneous filling data, etc., and construct a corresponding attribute set; finally, build a regression model using the attribute set and the DEM elevation errors within the ICESat-2 coverage area to correct the elevation values of ASTER GDEM in regions not covered by ICESat-2 laser altimetry data. Global validation results show that the overall elevation error (RMSE) of this dataset (the elevation-corrected ASTER GDEM product) is approximately 3.37 m. Compared with the original ASTER GDEM product, the average reduction ratio of elevation error (RMSE) after correction exceeds 45%.

搜集汇总

背景与挑战

背景概述

该数据集为全球数字高程改正模型（IC2-GDEM），基于ICESat-2激光测高数据对ASTER GDEM进行高程改正，空间分辨率约为30m。改正后的高程误差（RMSE）平均降低比例超过45%，数据时间范围为2018-2021年。