GIS Mapping.pdf

855d081692e9079e2feda277767522cb17aa.pdf
Preview of GIS mapping
🔗 Source: pdfs.semanticscholar.org
📊 Size: 1.02 MB
👤 Author: Hakem
⬇️ Downloads: 91

Summary

The study used remote sensing and GIS applications to select suitable afforestation areas in Turkey. Two study areas, Arıt and Eşme-Güre, with different site conditions, vegetation, and topographic conditions, were chosen. Landsat TM images were used for pixel-based supervised classification, and maximum likelihood classification strategy was applied. The results showed that 2032 ha is the total potential afforestation forest area for Arıt Forest district (overall accuracy: 81%) and 38447 ha is the total potential afforestation forest area for Eşme-Güre Forest district (overall accuracy: 89%). The study demonstrated a method that can be used for afforestation area selection with high accuracy.

Description

The study used remote sensing and GIS applications to select suitable afforestation areas in Turkey.

Technical Information

  • File Format: PDF
  • File Size: 1.02 MB
  • Pages: 7
  • Language: EN
  • Author: Hakem
  • Total Downloads: 91
  • Last Updated: 7 days ago

Document Overview

This PDF document about GIS mapping provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into GIS mapping.

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