Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote sensing data

Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote sensing data

The present study is designed to monitor the spatio-temporal changes in forest cover using Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to 2017. Landsat data from 1990 (Thematic mapper [TM]), 2000 and 2010 (Enhanced Thematic Mapper [ETM+]), and 2013 to 2017 (Opera...

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Bibliographic Details
Main Authors: Aqil Tariq, Yan Jiango, Qingting Li, Jianwei Gao, Linlin Lu, Walid Soufan, Khalid F. Almutairi, Muhammad Habib-ur-Rahman
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Heliyon
Subjects:
Forest cover
Naive bayes tree
Kernel logistic regression
Support vector machine
Change detection
Landsat
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402300419X

Internet

http://www.sciencedirect.com/science/article/pii/S240584402300419X

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