Evaluación de algoritmos de clasificación en la plataforma Google Earth Engine para la identificación y detección de cambios de construcciones rurales y periurbanas a partir de imágenes de alta resolución

Building change detection based on remote sensing imagery is a key task for land management and planning e.g., detection of illegal settlements, updating land records and disaster response. Under the post- classification comparison approach, this research aimed to evaluate the feasibility of several...

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Veröffentlicht in:Revista de teledetección 2021-07 (58), p.71
Hauptverfasser: Coca-Castro, Alejandro, Zaraza-Aguilera, Maycol A., Benavides-Miranda, Yilsey T., Montilla-Montilla, Yeimy M., Posada-Fandiño, Heidy B., Avendaño-Gomez, Angie L., Hernández-Hamon, Hernando A., Garzón-Martinez, Sonia C., Franco-Prieto, Carlos A.
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Sprache:eng
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Zusammenfassung:Building change detection based on remote sensing imagery is a key task for land management and planning e.g., detection of illegal settlements, updating land records and disaster response. Under the post- classification comparison approach, this research aimed to evaluate the feasibility of several classification algorithms to identify and capture buildings and their change between two time steps using very-high resolution images (
ISSN:1133-0953
1988-8740
DOI:10.4995/raet.2021.15026