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An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery
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Citations
Cited by
Accelerated global glacier mass loss in the early twenty-first century
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., et al. (2021) · Nature · doi:10.1038/s41586-021-03436-z · Cited by 1,910
Massive collapse of two glaciers in western Tibet in 2016 after surge-like instability
Kääb, A., Leinss, S., Gilbert, A., Bühler, Y., Gascoin, S., Evans, S. G., Bartelt, P., Berthier, E., Brun, F., Chao, W.-A., et al. (2018) · Nature Geoscience · doi:10.1038/s41561-017-0039-7 · Cited by 367
Gold, R. D., Clark, D., Barnhart, W. D., King, T., Quigley, M., & Briggs, R. W. (2019) · Geophysical Research Letters · doi:10.1029/2019gl084926 · Cited by 36
Metadata
- Authors
- Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., & Morin, P.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 116
- Pages
- 101-117
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2308516304
- Cited by
- 728
- References
- 0
- FWCI
- 70.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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How to cite
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- This page
- CoChat. (2026). Citation check: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2016.03.012
- The paper
- Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., & Morin, P. (2016). An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2016.03.012
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.