Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey

SUMMARY: This study assessed the suitability of Landsat ETM+ and QuickBird digital number values and various vegetation indices for predicting some structural parameters of forests in western Turkey. The empirical relationships between the structural parameters such as stand volume, basal area, tree...

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Autores principales:	Günlü,Alkan, Kadiogullari,Ali Ihsan
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2018
Materias:	forest structural parameters Landsat ETM+ and QuickBird Satellite Images vegetation indices western Turkey
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100049
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spelling	oai:scielo:S0717-920020180001000492018-06-13Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western TurkeyGünlü,AlkanKadiogullari,Ali Ihsan forest structural parameters Landsat ETM+ and QuickBird Satellite Images vegetation indices western Turkey SUMMARY: This study assessed the suitability of Landsat ETM+ and QuickBird digital number values and various vegetation indices for predicting some structural parameters of forests in western Turkey. The empirical relationships between the structural parameters such as stand volume, basal area, tree density and quadratic mean diameter, and Landsat ETM+ and QuickBird satellite images were estimated using stepwise multiple regression analysis. Results indicated weak relationships between forest structural parameters and Landsat ETM+ images. The adjusted R2 values of the regression analysis using the spectral digital number values for stand volume, basal area, tree density and quadratic mean diameter were found to be 0.37, 0.32, 0.44 and 0.25, respectively. Based on the vegetation indices, the adjusted R2 values of the regression analysis were attained as 0.36, 0.34, 0.28 and 0.17, respectively. However, the results demonstrated moderate relationships between the forest structural parameters and the QuickBird satellite image. The adjusted R2 values from the regression analysis using the digital number values for stand volume, basal area, tree density and quadratic mean diameter were found as 0.57, 0.45, 0.29 and 0.30, respectively. Depending on the vegetation indices, the adjusted R2 values from the regression analysis were obtained as 0.54, 0.41, 0.41 and 0.44, respectively. When the results from Landsat ETM+ and QuickBird satellite images are compared with each other, it could be stated that the QuickBird satellite images provide better representation of structural parameters of forests.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.39 n.1 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100049en10.4067/S0717-92002018000100049
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	forest structural parameters Landsat ETM+ and QuickBird Satellite Images vegetation indices western Turkey
spellingShingle	forest structural parameters Landsat ETM+ and QuickBird Satellite Images vegetation indices western Turkey Günlü,Alkan Kadiogullari,Ali Ihsan Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
description	SUMMARY: This study assessed the suitability of Landsat ETM+ and QuickBird digital number values and various vegetation indices for predicting some structural parameters of forests in western Turkey. The empirical relationships between the structural parameters such as stand volume, basal area, tree density and quadratic mean diameter, and Landsat ETM+ and QuickBird satellite images were estimated using stepwise multiple regression analysis. Results indicated weak relationships between forest structural parameters and Landsat ETM+ images. The adjusted R2 values of the regression analysis using the spectral digital number values for stand volume, basal area, tree density and quadratic mean diameter were found to be 0.37, 0.32, 0.44 and 0.25, respectively. Based on the vegetation indices, the adjusted R2 values of the regression analysis were attained as 0.36, 0.34, 0.28 and 0.17, respectively. However, the results demonstrated moderate relationships between the forest structural parameters and the QuickBird satellite image. The adjusted R2 values from the regression analysis using the digital number values for stand volume, basal area, tree density and quadratic mean diameter were found as 0.57, 0.45, 0.29 and 0.30, respectively. Depending on the vegetation indices, the adjusted R2 values from the regression analysis were obtained as 0.54, 0.41, 0.41 and 0.44, respectively. When the results from Landsat ETM+ and QuickBird satellite images are compared with each other, it could be stated that the QuickBird satellite images provide better representation of structural parameters of forests.
author	Günlü,Alkan Kadiogullari,Ali Ihsan
author_facet	Günlü,Alkan Kadiogullari,Ali Ihsan
author_sort	Günlü,Alkan
title	Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
title_short	Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
title_full	Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
title_fullStr	Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
title_full_unstemmed	Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey
title_sort	modeling forest stand attributes using landsat etm+ and quickbird satellite images in western turkey
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100049
work_keys_str_mv	AT gunlualkan modelingforeststandattributesusinglandsatetmandquickbirdsatelliteimagesinwesternturkey AT kadiogullarialiihsan modelingforeststandattributesusinglandsatetmandquickbirdsatelliteimagesinwesternturkey
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Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey

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