The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W18
https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019
https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019
19 Oct 2019
 | 19 Oct 2019

INVESTIGATING OF FOREST CHANGE IN GOLESTAN PROVINCE USING LANDSAT IMAGE

M. Zoraghi, R. Saadi, and M. Hasanlou

Keywords: Change detection, Post classification comparison, Golestan province, Land use, Remote sensing

Abstract. In recent years, forests in the north of the country have been attacked due to human interference. Increasing population and development of residential and agricultural areas have led to deforestation. Change detection is one of the most common methods for evaluating natural resources. The aim of this study is to monitor changes in forests of Golestan province in two period times from 1990 to 2019, using Landsat images. Accordingly, by incorporating those data sets land use maps are produced. Also, the SVM algorithm is used with six different classes including forest (F), urban area (U), agriculture (A), uncultivated land (UL), water (w) and bare soil (BS). The achieved overall accuracies are 85.48% and 89.86%. Then the map and matrix changes were obtained by post-classification comparison method. The results showed that the Golestan province's forests were reduced and converted to agricultural and urban land uses.