D
Daiki Ikeshima
Researcher at Tokyo Institute of Technology
Publications - 9
Citations - 1325
Daiki Ikeshima is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Digital elevation model & Scale (ratio). The author has an hindex of 4, co-authored 9 publications receiving 663 citations.
Papers
More filters
Journal ArticleDOI
A high-accuracy map of global terrain elevations
Dai Yamazaki,Daiki Ikeshima,R. Tawatari,Tomohiro Yamaguchi,Fiachra O'Loughlin,J. C. Neal,Christopher C. Sampson,Shinjiro Kanae,Paul D. Bates +8 more
TL;DR: In this article, a high-accuracy global digital elevation model (DEM) was proposed by eliminating major error components from existing DEMs, such as absolute bias, stripe noise, speckle noise, and tree height bias.
Journal ArticleDOI
MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset
Dai Yamazaki,Dai Yamazaki,Daiki Ikeshima,Jeison Sosa,Paul D. Bates,George H. Allen,Tamlin M. Pavelsky +6 more
TL;DR: In this paper, the authors presented MERIT Hydro, a new global flow direction map at 3-arc sec resolution (90 m at the equator) derived from the latest elevation data (MERIT DEM) and water body data sets (G1WBM, Global Surface Water Occurrence, and OpenStreetMap).
Journal ArticleDOI
Development of a global 90m water body map using multi-temporal Landsat images
TL;DR: In this article, a 3-arc-second water body map (G3WBM) was developed by using an automated algorithm to process multi-temporal Landsat images from the Global Land Survey (GLS) database.
Journal ArticleDOI
A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin
TL;DR: In this article, a physically based empirical local patch method was proposed to maximize the observations available while filtering error covariance areas in a large-scale river network, such as the Congo River.