A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
Summary
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data is a scholarly article[1].
Key Facts
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-generalized-regression-based-unmixing-model-for-mapping-forest-cover-fractions-throughout-three-decades-of-landsat-dat
MLA“A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-generalized-regression-based-unmixing-model-for-mapping-forest-cover-fractions-throughout-three-decades-of-landsat-dat.
BibTeX@misc{4ortxyz_a-generalized-regression-based-unmixing-model-for-mapping-forest-cover-fractions-throughout-three-decades-of-landsat-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data}}, year = {2026}, url = {https://4ort.xyz/entity/a-generalized-regression-based-unmixing-model-for-mapping-forest-cover-fractions-throughout-three-decades-of-landsat-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data — https://4ort.xyz/entity/a-generalized-regression-based-unmixing-model-for-mapping-forest-cover-fractions-throughout-three-decades-of-landsat-dat (retrieved 2026-05-24)