{
  "abstract": "NepalDTM is an open bare-earth elevation model of Nepal stored on an 8 m grid. Where the NASA High Mountain Asia 8 m stereo mosaic has a usable height, that mosaic is the surface. Elsewhere the surface is Copernicus GLO-30. A histogram gradient-boosting model, trained on 6,230,548 ICESat-2 points and 7,035,904 GEDI points, predicts how far the surface sits above the ground and subtracts that height. On 4,463,463 held-out ICESat-2 points inside Nepal, with whole 48 km blocks left out of each training fold, the root-mean-square error is 6.10 m (NMAD 2.61 m, bias -0.15 m). The same points give 9.07 m for Copernicus GLO-30, 8.47 m for GEDTM30, and 7.78 m for FABDEM. The error is 1.96 m below 300 m and 8.27 m between 2.5 and 4 km. Independent differential GPS on the Khumbu surface agrees to 2.49 m RMSE at glacier margins. Inside the delivered grid, 37% of the area uses the 8 m mosaic and 63% is Copernicus fill, so the posted spacing is not 8 m terrain detail on every cell. The tiles, the figures, and the code that rebuilds the model are public.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Achyut Paudel"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0whf0mrgf7krh.bib",
  "cited_by": 0,
  "doi": "10.31223/x5dr5m",
  "fulltext_url": null,
  "id": "0whf0mrgf7krh",
  "issns": [],
  "landing_url": "https://eartharxiv.org/repository/view/15728/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/legalcode",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Earth Sciences"
    ],
    [
      "bepress",
      "GEDI"
    ],
    [
      "bepress",
      "Geomorphology"
    ],
    [
      "bepress",
      "Hydrology"
    ],
    [
      "bepress",
      "ICESat-2"
    ],
    [
      "bepress",
      "Nepal"
    ],
    [
      "bepress",
      "NepalDTM"
    ],
    [
      "bepress",
      "Physical Sciences and Mathematics"
    ],
    [
      "bepress",
      "bare earth"
    ],
    [
      "bepress",
      "data fusion"
    ],
    [
      "bepress",
      "digital terrain model"
    ],
    [
      "openalex",
      "2305|Remote Sensing and LiDAR Applications"
    ]
  ],
  "openalex": "W7223466638",
  "pdf_url": "https://eartharxiv.org/repository/object/15728/download/27245/",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0whf0mrgf7krh.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:52Z",
      "native_id": "15728",
      "source": "eartharxiv",
      "url": "https://eartharxiv.org/repository/view/15728/"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "bepress:Geomorphology",
      "subfield": "geology-geochemistry"
    },
    {
      "field": "earth",
      "origin": "bepress:Hydrology",
      "subfield": "hydrology-soils"
    }
  ],
  "title": "NepalDTM: A National 8-Metre Bare-Earth Digital Terrain Model of Nepal from Multi-Source Satellite Data Fusion",
  "title_text": "NepalDTM: A National 8-Metre Bare-Earth Digital Terrain Model of Nepal from Multi-Source Satellite Data Fusion",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:52Z",
  "url": "https://research.draconitic.com/paper/0whf0mrgf7krh",
  "venue": "EarthArXiv",
  "versions": []
}