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NASA’s Global Orthorectified Landsat Data Set
Open accessAbstract
NASA has sponsored the creation of an orthorectified and geodetically accurate global land data set of Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper data, from the 1970s, circa 1990, and circa 2000, respectively, to support a variety of scientific studies and educational purposes. This is the first time a geodetically accurate global compendium of orthorectified multi-epoch digital satellite data at the 30- to 80-m spatial scale spanning 30 years has been produced for use by the international scientific and educational communities. We describe data selection, orthorectification, accuracy, access, and other aspects of these data.
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Cited by
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Fifty years of deforestation and forest fragmentation in Madagascar
HARPER, G. J., STEININGER, M. K., TUCKER, C. J., JUHN, D., & HAWKINS, F. (2007) · Environmental Conservation · doi:10.1017/s0376892907004262 · Cited by 734
Self-citationLandsat-based inventory of glaciers in western Canada, 1985–2005
Bolch, T., Menounos, B., & Wheate, R. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.015 · Cited by 567
Monitoring urbanization in mega cities from space
Taubenböck, H., Esch, T., Felbier, A., Wiesner, M., Roth, A., & Dech, S. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.09.015 · Cited by 466
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Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., & Mehl, H. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.895830 · Cited by 387
Metadata
- Authors
- Tucker, C. J., Grant, D. M., & Dykstra, J. D.
- Venue
- Photogrammetric Engineering & Remote Sensing
- Published
- 2004-03-01
- Volume
- 70
- Issue
- 3
- Pages
- 313-322
- ISSN
- 0099-1112 (ISSN-L)
- OpenAlex
- W2084289470
- Cited by
- 497
- References
- 0
- FWCI
- 65.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Tucker, C. J., Grant, D. M., & Dykstra, J. D. (2004). NASA’s Global Orthorectified Landsat Data Set. Photogrammetric Engineering & Remote Sensing. https://doi.org/10.14358/pers.70.3.313
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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.
