Abstract: An object oriented approach was developed to derive land use/land cover classification maps over the island of Sumatra, Indonesia.
An object oriented approach was developed to derive land use/land cover classification maps over the island of Sumatra, Indonesia.
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This review concludes that the RF algorithm is the best machine-learning LULC classifier, among the six examined algorithms.
Remote sensing image classification is the main approach for rapidly obtaining regional land use/cover information and it has always been an important part�...
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Abstract. The Sumatran tiger is an animal whose life is threatened due to land use changes and human activities. Based on remote sensing data, this study�...
The combination of quad-polarized Radarsat-2, Landsat 8 and dual-polarized TerraSAR-X (HH/VV) imageries have resulted up to 87% accuracy (Ullmann et al., 2014).
Aug 13, 2023 � The study's objective is to assess the object-based LULC classification (OBC) accuracy of composite images from the Landsat 8 OLI (Operational Land Imager)
Comparison of pixel and object based approaches using Landsat data for land use and land cover classification in coastal zone of Medan, Sumatera [J].
In this review, we present the issues and opportunities associated with generating and validating time-series informed annual, large-area, land cover products.
