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The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region
Research article (Remote Sensing in Earth Systems Sciences, 2019) · cited 81× · AI/ML
The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region
Summary
The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region is a scholarly article[1].
Key Facts
The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region'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). The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-performance-of-random-forest-classification-based-on-phenological-metrics-derived-from-sentinel-2-and-landsat-8-to-m
MLA“The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-performance-of-random-forest-classification-based-on-phenological-metrics-derived-from-sentinel-2-and-landsat-8-to-m.
BibTeX@misc{4ortxyz_the-performance-of-random-forest-classification-based-on-phenological-metrics-derived-from-sentinel-2-and-landsat-8-to-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region}}, year = {2026}, url = {https://4ort.xyz/entity/the-performance-of-random-forest-classification-based-on-phenological-metrics-derived-from-sentinel-2-and-landsat-8-to-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region — https://4ort.xyz/entity/the-performance-of-random-forest-classification-based-on-phenological-metrics-derived-from-sentinel-2-and-landsat-8-to-m (retrieved 2026-05-24)
