Land cover mapping of deciduous forest regions using ETM+ data: a case study of Azerbaijan Province, Iran

作     者：Seyed Armin HASHEMI Mir Mozaffar FALLAHCHAI 

作者机构：Department of Forestry Lahijan Branch Islamic Azad University 

出 版 物：《Forestry Studies in China》 (中国林学（英文版）)

年 卷 期：2011年第13卷第4期

页      面：299-302页

学科分类：0810[工学-信息与通信工程] 090704[农学-森林经理学] 0907[农学-林学] 08[工学] 09[农学] 081002[工学-信号与信息处理] 

主　　题：land cover deciduous forest regions ETM+ data classification accuracy 

摘      要：Up to date information about the existing land cover patterns and changes in land cover over time is one of the prime prerequisites for the preparation of an integrated development plan and economic development program of a region. By using ETM＋ image data from 2002, we provided a land cover map of deciduous forest regions in Azerbaijan Province, Iran. Initial qualitative evaluation of the data showed no significant radiometric errors. Image classification was carried out using a maximum likelihood-based supervised classification method. In the end, we determined five major land cover classes, i.e., grass lands, deciduous broad-leaf forest, cultivated land, river and land without vegetation cover. Accuracy, estimated by the use of criteria such as overall accuracy from a confusion matrix of classification was 86% with a 0.88 Kappa coefficient. Such high accuracy results demonstrate that the combined use of spectral and textural characteristics increased the number of classes in the field classification, also with excellent accuracy. The availability and use of time series of remote sensing data permit the detection and quantification of land cover changes and improve our understanding of the past and present status of forest ecosystems.