Investigation of the efficiency of GeoEye-1 satellite data for mapping the development stages in the forests of Northern Iran
Subject Areas :
Amin Mahdavi Saeidi
1
(Ph.D. Student, Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch,
Islamic Azad University, Tehran, Iran.)
Sasan Babaie Kafaky
2
(Associate Professor, Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch,
Islamic Azad University, Tehran, Iran. *)
Asadollah Mataji
3
(Professor, Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
Keywords: Development Stages, GeoEye-1, Pixel-based, Object base, forest,
Abstract :
Today, remote sensing with high spatial and spectral resolutions along with the use of a variety of plant indices has provided the possibility of more accurate analysis and classification of satellite data in the identification and structural resolution of natural phenomena. Accordingly obtain information from the structure of forests using satellite data to help the management of forest renewable resources is of interest to managers and researchers. In this research, maps of the development stages of natural forests in the north of the country were prepared using GeoEye-1 satellite data and different classification algorithms in pixel-based, object-based, and model-based methods. The ultimate accuracy of the classification maps was calculated with the overall accuracy parameters and the Kappa coefficient. The results of this study showed that maximum accuracy (78%) in the object-based method was estimated on the basis of the segmentation of the NDVI and the maximum likelihood algorithm. Also, the algorithms that follow the structural patterns for the classification of the pixel distribution provided a higher accuracy. Overall, the results showed the high potential of GeoEye-1 data in mapping forest development stages.
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