Author/Authors
Günlü, Alkan Çankırı Karatekin Üniversitesi - Orman Fakültesi - Orman Mühendisliği Bölümü, Turkey , Ercanlı, İlker Çankırı Karatekin Üniversitesi - Orman Fakültesi - Orman Mühendisliği Bölümü, Turkey , Başkent, Emin Zeki Karadeniz Teknik Üniversitesi - Orman Fakültesi - Orman Mühendisliği Bölümü, Turkey , Şenyurt, Muammer Çankırı Karatekin Üniversitesi - Orman Fakültesi - Orman Mühendisliği Bölümü, Turkey
Title Of Article
Predicting stand volume using Quickbird and Landsat 7 ETM+ satellite images for stands of oriental beech (Fagus orientalis Lipsky): a case study inAyancık-Göldağ
شماره ركورد
44074
Abstract
In forestry, inventory data is needed for ecological, economical and social values of forest and in preparing forest management planning. The planning process starts with forest inventory. In forestry, inventory data is obtained from both remotely sensed (aerial photo interpretation or satellite image) data and field survey with temporary sample plots. In the preparation of forest management plans, stand volume, basal area, number of trees stand as an important inventory data for the required parameters. Obtaining measurements of these parameters is costly and time consuming. This study were carried out to examine the Quickbird and Landsat 7 ETM+ satellite images in estimating stand volume in pure stands of oriental beech (Fagus orientalis Lipsky). The stand volume was determined by field measurements at total 70 temporary sampling plots. Reflectance values were calculated based on the Quickbird and Landsat 7 ETM+ satellite data points that correspond to the sampling plots. Regression analyses were conducted to examine the relationships between the reflectance values and stand volume. The results demonstrated that regression model with band 1, band 2, band 3 and band 4 as independent variables for Quickbird and ETM 2, ETM 3 and ETM 4 as independent variables for Landsat 7 ETM+ were used for a better estimation of stand volume (R^2=0.70, RMSE=28.56 m^3/ha^-1; R^2=0.545, RMSE=53.13 m^3 ha^-1), respectively.
From Page
24
NaturalLanguageKeyword
Stand volume , Quickbird satellite data , Landsat 7 ETM+ satellite data
JournalTitle
Turkish Journal of Forestry
To Page
30
JournalTitle
Turkish Journal of Forestry
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