Title :
A comparison tool for different vegetation indices from spaceborne imagery
Author :
Ozdemir, Gulsah ; Sumer, Emre
Author_Institution :
Dept. of Comput. Eng., Baskent Univ., Ankara, Turkey
Abstract :
In this study, we developed a tool in order to compare the performance of different vegetation indices. Among the tens of vegetation indices being developed, three broadband greenness vegetation indices; Normalized Vegetation Index (NDVI), Atmospherically Resistant Vegetation Index (ARVI) and Simple Ratio Index (SRI), were considered in this study. The comparison tool was developed in Matlab programming language, which is composed of three parts: (i) input, (ii) output and (iii) analysis. The vegetation indices were tested on three different scenes, which are selected on a residential area of the Batikent district of Ankara, Turkey. The data used includes the IKONOS pan-sharpened images acquired on August 4, 2002. The spatial resolution is 1-m and the data is composed of 4 spectral bands, which are blue, green, red and near infrared. A comparison between the selected vegetation indices was performed with respect to the obtained error performances.
Keywords :
geophysical techniques; geophysics computing; mathematics computing; remote sensing; vegetation; AD 2002 08 04; ARVI; Ankara Batikent district; Atmospherically Resistant Vegetation Index; IKONOS pan-sharpened images; Matlab programming language; NDVI; Normalized Vegetation Index; SRI; Simple Ratio Index; Turkey; comparison tool; greenness vegetation indices; spaceborne imagery; vegetation indices; Accuracy; Green products; Indexes; Measurement; Remote sensing; Resistance; Vegetation mapping; Matlab GUI; accuracy assessment; spaceborne imagery; vegetation index;
Conference_Titel :
Recent Advances in Space Technologies (RAST), 2013 6th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-6395-2
DOI :
10.1109/RAST.2013.6581187