publication . Article . 2009

Investigation on the capability of digital data of ETM+ sensor in seperating of forest types (Case study: Lafoor area of Savadkooh)

Farahnaz Rashidi; Sasan Babaie Kafaki; Ja'far Oladi;
Open Access Persian
  • Published: 01 Mar 2009 Journal: تحقیقات جنگل و صنوبر ایران, volume 17, issue 1, pages 63-51 (issn: 1735-0883, eissn: 2383-1146, Copyright policy)
  • Publisher: Research Institute of Forests and Rangelands of Iran
Abstract
This study was carried out in order to investigate the capability of digital data of ETM+ sensor in separation of forest types in Gazoo district of Lafoor area in Savadkooh. The bands were controlled according to radiometric and geometric errors, separately. Band 1, was omitted because of the existence of radiometric error and its less importance in vegetation cover study. Geometric correction was performed by 21 ground control points with DEM, up to ortho rectification level with precision of less than half pixel (0.3 pixel). The supervised classification was performed by using basic and synthetic bands to 6 classes, (pure beech type, mixed beech type, mixed ho...
Subjects
free text keywords: ETM+, geometric correction, ground truth, Classification, overall accuracy, Kappa coefficient, forest typemapping, lcsh:Forestry, lcsh:SD1-669.5
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