Gapless-REMA100: A gapless 100-m Reference Elevation Model of Antarctica with voids filled by multi-source DEMs

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 cove...

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Bibliographic Details
Main Authors: Dong, Yuting, Zhao, Ji, Li, Caiyong, Liao, Mingsheng
Format: Dataset
Language:unknown
Published: figshare 2022
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.19122212.v2
https://figshare.com/articles/dataset/Gapless-REMA100/19122212/2
Description
Summary: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.