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Application of Support Vector Machines for Land Use and Land Cover Classification from Landsat ETM Imagery

Mohammad Ali Mahmoodi; Sohaila Momeni; Masoud Davari

Volume 32, Issue 6 , January and February 2019, , Pages 1179-1190

https://doi.org/10.22067/jsw.v32i6.72967

Abstract
  Introduction: Land use and Land cover (LULC) information has been identified as one of the crucial data components for a range of applications including global change studies, urban planning, agricultural crop characterization, and forest ecosystem classification. The derivation of such information increasingly ...  Read More