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Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau
Research article (Remote Sensing, 2022) · cited 28× · AI/ML
Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau
Summary
Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau is a scholarly article[1].
Key Facts
Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau. Retrieved May 24, 2026, from https://4ort.xyz/entity/sentinel-2-images-based-modeling-of-grassland-above-ground-biomass-using-random-forest-algorithm-a-case-study-on-the-tib
MLA“Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sentinel-2-images-based-modeling-of-grassland-above-ground-biomass-using-random-forest-algorithm-a-case-study-on-the-tib.
BibTeX@misc{4ortxyz_sentinel-2-images-based-modeling-of-grassland-above-ground-biomass-using-random-forest-algorithm-a-case-study-on-the-tib_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau}}, year = {2026}, url = {https://4ort.xyz/entity/sentinel-2-images-based-modeling-of-grassland-above-ground-biomass-using-random-forest-algorithm-a-case-study-on-the-tib}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sentinel-2 Images Based Modeling of Grassland Above-Ground Biomass Using Random Forest Algorithm: A Case Study on the Tibetan Plateau — https://4ort.xyz/entity/sentinel-2-images-based-modeling-of-grassland-above-ground-biomass-using-random-forest-algorithm-a-case-study-on-the-tib (retrieved 2026-05-24)
