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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tariq, Aqil, Jiango, Yan, Li, Qingting, Gao, Jianwei, Lu, Linlin, Soufan, Walid, Almutairi, Khalid F., Habib-ur-Rahman, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918775/
https://www.ncbi.nlm.nih.gov/pubmed/36785833
http://dx.doi.org/10.1016/j.heliyon.2023.e13212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918775/
https://www.ncbi.nlm.nih.gov/pubmed/36785833
http://dx.doi.org/10.1016/j.heliyon.2023.e13212

Ejemplares similares