Gapless-REMA100

Here we generate a gapless 100-m reference elevation model of Antarctica (Gapless-REMA100) with the voids filled by combining multi-source DEMs. All the voids in original REMA mosaic were automatically filled from multi-source DEMs e.g., TanDEM-X PolarDEM and other freely available DEM products covering entire or regional Antarctica. The experimental results with the Ice, Cloud and Land elevation Satellite-2 (ICESat-2) laser altimetry data validate that the filled 100-m REMA mosaic of voids can reach an elevation accuracy similar to that of the original REMA dataset for the west and east Antarctica ice sheet as well as the entire continent. In the Antarctic Peninsula area, the vertical accuracy of the filled REMA mosaic by the proposed method is superior to that of the officially released version of the Polar Geospatial Center (PGC). The file 'Gapless-REMA100.tif' is a gapless 100-m reference elevation model of Antarctica (Gapless-REMA100). The Gapless-REMA100 dataset is a newly released product published in our ISPRS P&RS 2022 paper. If this paper or the released Gapless-REMA100 dataset is helpful to your research, please cite it:Yuting Dong, Ji Zhao, Caiyong Li, and Mingsheng Liao, "Gapless-REMA100: A gapless 100-m Reference Elevation Model of Antarctica with voids filled by multi-source DEMs," ISPRS Journal of Photogrammetry and Remote Sensing, 2022.

本研究构建了一套无间隙的南极100米参考高程模型（Gapless-REMA100），通过融合多源数字高程模型（Digital Elevation Model, DEM）填充其空洞。原始南极参考高程模型（Reference Elevation Model of Antarctica, REMA）镶嵌数据中的所有空洞，均通过多源DEM自动填充，所用数据源包括TanDEM-X PolarDEM以及其他可免费获取的、覆盖全南极或南极区域的DEM产品。借助冰、云与陆地高程卫星-2（Ice, Cloud and Land Elevation Satellite-2, ICESat-2）激光测高数据开展的实验验证结果表明：针对南极冰盖西部分区、东部分区以及整个南极大陆，经空洞填充后的100米分辨率REMA镶嵌数据的高程精度，可媲美原始REMA数据集的精度水平。在南极半岛区域，本研究所提方法生成的空洞填充后REMA镶嵌数据的垂直精度，优于极地地理空间中心（Polar Geospatial Center, PGC）官方发布的版本。文件"Gapless-REMA100.tif"即为这套无间隙南极100米参考高程模型（Gapless-REMA100）。Gapless-REMA100数据集是本团队于2022年发表于《国际摄影测量与遥感学会期刊》（ISPRS Journal of Photogrammetry and Remote Sensing, ISPRS P&RS）的最新公开产品。若本论文或公开的Gapless-REMA100数据集对您的研究有所帮助，请引用如下文献：董玉婷、赵骥、李才勇、廖明生，《Gapless-REMA100：基于多源DEM空洞填充的无间隙南极100米参考高程模型》，《国际摄影测量与遥感学会期刊》，2022年。