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Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana
Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana
Summary
Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana is a scholarly article[1].
Key Facts
Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana'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). Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana. Retrieved May 24, 2026, from https://4ort.xyz/entity/tracking-urban-expansion-using-random-forests-for-the-classification-of-landsat-imagery-19862015-and-predicting-urban-bu
MLA“Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tracking-urban-expansion-using-random-forests-for-the-classification-of-landsat-imagery-19862015-and-predicting-urban-bu.
BibTeX@misc{4ortxyz_tracking-urban-expansion-using-random-forests-for-the-classification-of-landsat-imagery-19862015-and-predicting-urban-bu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana}}, year = {2026}, url = {https://4ort.xyz/entity/tracking-urban-expansion-using-random-forests-for-the-classification-of-landsat-imagery-19862015-and-predicting-urban-bu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana — https://4ort.xyz/entity/tracking-urban-expansion-using-random-forests-for-the-classification-of-landsat-imagery-19862015-and-predicting-urban-bu (retrieved 2026-05-24)
