Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier
Summary
Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier is a scholarly article[1].
Key Facts
Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier'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). Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapping-tea-plantations-from-multi-seasonal-landsat-8-oli-imageries-using-a-random-forest-classifier
MLA“Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapping-tea-plantations-from-multi-seasonal-landsat-8-oli-imageries-using-a-random-forest-classifier.
BibTeX@misc{4ortxyz_mapping-tea-plantations-from-multi-seasonal-landsat-8-oli-imageries-using-a-random-forest-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier}}, year = {2026}, url = {https://4ort.xyz/entity/mapping-tea-plantations-from-multi-seasonal-landsat-8-oli-imageries-using-a-random-forest-classifier}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mapping Tea Plantations from Multi-seasonal Landsat-8 OLI Imageries Using a Random Forest Classifier — https://4ort.xyz/entity/mapping-tea-plantations-from-multi-seasonal-landsat-8-oli-imageries-using-a-random-forest-classifier (retrieved 2026-05-24)
