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...

詳細記述

書誌詳細
主要な著者: Aguilar Torres, Fernando José, Nemmaoui, Abderrahim, Aguilar Torres, Manuel Ángel, Chourak, Mimoun, Zarhloule, Yassine, García Lorca, Andrés Miguel
フォーマット: info:eu-repo/semantics/article
言語:English
出版事項: MDPI 2020
主題:
deforestation
OBIA
Random Forest classifier
spectral mixture models
Landsat data
オンライン･アクセス:http://hdl.handle.net/10835/7397

インターネット

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

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