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Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021) · cited 16× · AI/ML
Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest
Summary
Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest is a scholarly article[1].
Key Facts
Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest'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). Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-urban-built-up-area-change-from-sentinel-2-images-using-multiband-temporal-texture-and-one-class-random-for
MLA“Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-urban-built-up-area-change-from-sentinel-2-images-using-multiband-temporal-texture-and-one-class-random-for.
BibTeX@misc{4ortxyz_detection-of-urban-built-up-area-change-from-sentinel-2-images-using-multiband-temporal-texture-and-one-class-random-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-urban-built-up-area-change-from-sentinel-2-images-using-multiband-temporal-texture-and-one-class-random-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest — https://4ort.xyz/entity/detection-of-urban-built-up-area-change-from-sentinel-2-images-using-multiband-temporal-texture-and-one-class-random-for (retrieved 2026-05-24)
