Using high resolution images and elevation data in classifying erosion risks of bare soil areas in the Hatila Valley Natural Protected Area, Turkey
Yazarlar (4)
Habip Eroǧlu Artvin Coruh University, Türkiye
Günay Çakir Düzce Üniversitesi, Türkiye
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Abdullah E. Akay
Kahramanmaras Sütçü Imam Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Stochastic Environmental Research and Risk Assessment
Dergi ISSN 1436-3240 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 07-2010
Cilt / Sayı / Sayfa 24 / 5 / 699–704 DOI 10.1007/s00477-009-0356-5
Makale Linki http://link.springer.com/10.1007/s00477-009-0356-5
UAK Araştırma Alanları
Orman Hasılatı ve Amenajmanı
Özet
Soil erosion is one of the most important environmental problems. In the case of small scale areas where soil properties and climate have relatively uniform characteristics, vegetation cover and topography (i.e. ground slope) are the main factors that affect the amount of soil erosion. Lack of vegetation cover on bare soil areas, including forest road side slopes, especially in mountainous regions with steep slopes, may significantly increase the erosion rate. Determining and classifying erosion risks in such areas can help preventing environmental impacts. In this study, remotely sensed data and elevation data were used to extract and classify bare soil erosion risk areas for a study area selected from Hatila Valley Natural Protected Area in northeastern Turkey. High resolution IKONOS imagery was used to apply land use classification in ERDAS Imagine 9.0. To generate erosion risk map of the bare soil areas, classified …
Anahtar Kelimeler
Bare soil erosion | Forest road | GIS | IKONOS | Remote sensing | Risk