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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Bibliografische gegevens
Hoofdauteurs: Aguilar Torres, Fernando José, Nemmaoui, Abderrahim, Aguilar Torres, Manuel Ángel, Chourak, Mimoun, Zarhloule, Yassine, García Lorca, Andrés Miguel
Formaat: info:eu-repo/semantics/article
Taal:English
Gepubliceerd in: MDPI 2020
Onderwerpen:
deforestation
OBIA
Random Forest classifier
spectral mixture models
Landsat data
Online toegang:http://hdl.handle.net/10835/7397

Internet

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

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