A Quantitative Assessment of Forest Cover Change in the Moulouya River Watershed (Morocco) by the Integration of a Subpixel-Based and Object-Based Analysis of Landsat Data

A Quantitative Assessment of Forest Cover Change in the Moulouya River Watershed (Morocco) by the Integration of a Subpixel-Based and Object-Based Analysis of Landsat Data

A quantitative assessment of forest cover change in the Moulouya River watershed (Morocco) was carried out by means of an innovative approach from atmospherically corrected reflectance Landsat images corresponding to 1984 (Landsat 5 Thematic Mapper) and 2013 (Landsat 8 Operational Land Imager). An o...

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Hlavní autoři: Aguilar Torres, Fernando José, Nemmaoui, Abderrahim, Aguilar Torres, Manuel Ángel, Chourak, Mimoun, Zarhloule, Yassine, García Lorca, Andrés Miguel
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: MDPI 2020
Témata:
deforestation
OBIA
Random Forest classifier
spectral mixture models
Landsat data
On-line přístup:http://hdl.handle.net/10835/7397

Internet

http://hdl.handle.net/10835/7397

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