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EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data
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Citations
Cited by
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O. (2016) · Nature Communications · doi:10.1038/ncomms13603 · Cited by 1,779
Soil carbon debt of 12,000 years of human land use
Sanderman, J., Hengl, T., & Fiske, G. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1706103114 · Cited by 1,495
A High-Accuracy Map of Global Terrain Elevations
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J. C., Sampson, C. C., Kanae, S., & Bates, P. D. (2017) · Geophysical Research Letters · doi:10.1002/2017gl072874 · Cited by 1,326
Tuanmu, M., & Jetz, W. (2015) · Global Ecology and Biogeography · doi:10.1111/geb.12365 · Cited by 331
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
Okolie, C. J., & Smit, J. L. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.03.016 · Cited by 139
Global shortfalls in documented actions to conserve biodiversity
Senior, R. A., Bagwyn, R., Leng, D., Killion, A. K., Jetz, W., & Wilcove, D. S. (2024) · Nature · doi:10.1038/s41586-024-07498-7 · Cited by 77
Metadata
- Authors
- Robinson, N., Regetz, J., & Guralnick, R. P.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 87
- Pages
- 57-67
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W1995382648
- Cited by
- 344
- References
- 0
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.