The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Automated Mapping of Montane Snow Cover at Subpixel Resolution from the Landsat Thematic Mapper
Abstract
A fully automated method uses Landsat Thematic Mapper data to map snow cover in the Sierra Nevada and make quantitative estimates of the fractional snow‐covered area within each pixel. We model winter and spring reference scenes as linear mixtures of image end member spectra to produce the response variables for tree‐based regression and classification models. Decision trees identify cloud cover and fractional snow‐covered area. We test the algorithm on a different Thematic Mapper scene and verify with high‐resolution, large‐format, color aerial photography. The accuracy of the automated classification of Thematic Mapper data equals that obtainable from the aerial photographs but is faster, cheaper, and covers a vastly larger area. The mapping method is insensitive to the choice of lithologic or vegetation end members, the water equivalent of the snow pack, snow grain size, or local illumination angle.
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Cites
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An exploratory technique for investigating large quantities of categorical data
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Richards, J. A., & Jia, X. (2006) · Springer eBooks · doi:10.1007/3-540-29711-1 · Cited by 2,759
Geometrical considerations and nomenclature for reflectance
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Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site
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Spectral signature of alpine snow cover from the landsat thematic mapper
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Self-citationSelf Modeling Curve Resolution
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Cited by
Assessment of methods for mapping snow cover from MODIS
Rittger, K., Painter, T. H., & Dozier, J. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2012.03.002 · Cited by 414
Self-citationRetrieval of subpixel snow-covered area and grain size from imaging spectrometer data
Painter, T. H., Dozier, J., Roberts, D. A., Davis, R. E., & Green, R. O. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00187-6 · Cited by 359
Self-citationSpatial Snow Modeling of Wind-Redistributed Snow Using Terrain-Based Parameters
Winstral, A., Elder, K., & Davis, R. E. (2002) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2002)003<0524:ssmowr>2.0.co;2 · Cited by 353
Metadata
- Authors
- Rosenthal, W., & Dozier, J.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1996-01
- Volume
- 32
- Issue
- 1
- Pages
- 115-130
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2030345151
- Cited by
- 295
- References
- 25
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
