Quantifying Land Cover Changes in a Mediterranean Environment Using Landsat TM and Support Vector Machines

Quantifying Land Cover Changes in a Mediterranean Environment Using Landsat TM and Support Vector Machines

The rapid advent in geoinformation technologies, such as Earth Observation (EO) and Geographical Information Systems (GIS), has made it possible to observe and monitor the Earth’s environment on variable geographical scales and analyze those changes in both time and space. This study explores the sy...

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Bibliographic Details
Main Authors: Sotiria Fragou, Kleomenis Kalogeropoulos, Nikolaos Stathopoulos, Panagiota Louka, Prashant K. Srivastava, Sotiris Karpouzas, Dionissios P. Kalivas, George P. Petropoulos
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Forests
Subjects:
geoinformation
remote sensing
Landsat TM
LULC
change detection
support vector machines
Online Access:https://www.mdpi.com/1999-4907/11/7/750

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https://www.mdpi.com/1999-4907/11/7/750

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