A NOVEL METHODOLOGY FOR THE AUTOMATIC ACQUISITION OF REAL FOREST FIRE DATASETS OVER LONG PERIODS OF TIME

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Abstract. This paper seeks to create a mapping of major forest fire disturbances on the Galician territory over extended periods of time. To achieve this, an automated multitemporal detection process based on vegetation indices and unsupervised learning is developed. The objective is to obtain data heterogeneity in terms of vegetation state, land use, and image properties, allowing a better understanding of forest land disturbances and improving their management.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: A NOVEL METHODOLOGY FOR THE AUTOMATIC ACQUISITION OF REAL FOREST FIRE DATASETS OVER LONG PERIODS OF TIME ; volume:XLVIII-1/W1-2023 ; year:2023 ; pages:465-472 ; extent:8
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-1/W1-2023 (2023), 465-472 (gesamt 8)

Creator: Suárez-Fernández, G. E.
Martínez-Sánchez, J.
Arias, P.

DOI: 10.5194/isprs-archives-XLVIII-1-W1-2023-465-2023

URN: urn:nbn:de:101:1-2023060104311728138461

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Suárez-Fernández, G. E.
Martínez-Sánchez, J.
Arias, P.

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A NOVEL METHODOLOGY FOR THE AUTOMATIC ACQUISITION OF REAL FOREST FIRE DATASETS OVER LONG PERIODS OF TIME

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