The DOI matches its Crossref record.
New land surface digital elevation model covers the Earth
Abstract
Land surface elevation around the world is reaching new heights—as far as its description and measurement goes. A new global digital elevation model (DEM) is being cited as a significant improvement in the quality of topographic data available for Earth science studies. Land surface elevation is one of the Earth's most fundamental geophysical properties, but the accuracy and detail with which it has been measured and described globally have been insufficient for many large‐area studies. The new model, developed at the U.S. Geological Survey's (USGS) EROS Data Center (EDC), has changed all that.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
Self-citationThe new world atlas of artificial night sky brightness
Falchi, F., Cinzano, P., Duriscoe, D., Kyba, C. C. M., Elvidge, C. D., Baugh, K., Portnov, B. A., Rybnikova, N. A., & Furgoni, R. (2016) · Science Advances · doi:10.1126/sciadv.1600377 · Cited by 1,646
International River Basins of the World
Wolf, A. T., Natharius, J. A., Danielson, J. J., Ward, B. S., & Pender, J. K. (1999) · International Journal of Water Resources Development · doi:10.1080/07900629948682 · Cited by 451
Representing Subgrid Snow Cover Heterogeneities in Regional and Global Models
Liston, G. E. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<1381:rsschi>2.0.co;2 · Cited by 361
Accuracy Assessment of the TanDEM-X 90 Digital Elevation Model for Selected Floodplain Sites
Hawker, L., Neal, J., & Bates, P. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111319 · Cited by 151
Metadata
- Authors
- Gesch, D. B., Verdin, K. L., & Greenlee, S. K.
- Venue
- Eos, Transactions American Geophysical Union
- Publisher
- American Geophysical Union (AGU)
- Published
- 1999-02-09
- Volume
- 80
- Issue
- 6
- Pages
- 69-70
- ISSN
- 0096-3941 (ISSN-L)
- 2324-9250
- OpenAlex
- W1973584596
- Cited by
- 289
- References
- 0
- FWCI
- 32.10
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New land surface digital elevation model covers the Earth. https://app.cochat.ai/papers/10.1029/99eo00050
- The paper
- Gesch, D. B., Verdin, K. L., & Greenlee, S. K. (1999). New land surface digital elevation model covers the Earth. Eos, Transactions American Geophysical Union. https://doi.org/10.1029/99eo00050
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
