A high-accuracy map of global terrain elevations

Dai Yamazaki*, Daiki Ikeshima, Ryunosuke Tawatari, Tomohiro Yamaguchi, Fiachra O'Loughlin, Jeffery C. Neal, Christopher C. Sampson, Shinjiro Kanae, Paul D. Bates

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

203 Citations (Scopus)
998 Downloads (Pure)

Abstract

Spaceborne digital elevation models (DEMs) are a fundamental input for many geoscience studies, but they still include nonnegligible height errors. Here we introduce a high-accuracy global DEM at 3″ resolution (~90 m at the equator) by eliminating major error components from existing DEMs. We separated absolute bias, stripe noise, speckle noise, and tree height bias using multiple satellite data sets and filtering techniques. After the error removal, land areas mapped with ±2 m or better vertical accuracy were increased from 39% to 58%. Significant improvements were found in flat regions where height errors larger than topography variability, and landscapes such as river networks and hill-valley structures, became clearly represented. We found the topography slope of previous DEMs was largely distorted in most of world major floodplains (e.g., Ganges, Nile, Niger, and Mekong) and swamp forests (e.g., Amazon, Congo, and Vasyugan). The newly developed DEM will enhance many geoscience applications which are terrain dependent.

Original languageEnglish
Pages (from-to)5844-5853
Number of pages10
JournalGeophysical Research Letters
Volume44
Issue number11
Early online date14 Jun 2017
DOIs
Publication statusPublished - 27 Jun 2017

Keywords

  • Digital elevation model
  • SRTM
  • AW3D
  • ICESat
  • Global data set

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