Digital aerial images land cover classification based on vegetation indices
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Date
2012
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Publisher
Wydział Nauk Geograficznych i Geologicznych UAM
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Abstract
Knowledge of how land cover has changed over time improve assessments of the changes in the future.
Wide availability of remote sensed data and relatively low cost of their acquisition make them very attractive
data source for Geographical Information Systems (GIS). The main goal of this paper is to prepare, run and
evaluate image classification using a block of raw aerial images obtained from Digital Mapping Camera (DMC).
Classification was preceded by preparation of raw images. It contained geometric and radiometric correction of
every image in block. Initial images processing lead to compensate their brightness differences. It was obtained
by calculating two vegetation indices: Normalized Difference Vegetation Index (NDVI) and Green Normalized
Vegetation Index (gNDVI). These vegetation indices were the foundation of image classification. PCI Geomatics
Geomatica 10.2 and Microimages TNT Mips software platforms were used for this purpose.
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Keywords
image classification, land cover, digital aerial image, vegetation index, remote sensing
Citation
Quaestiones Geographicae vol. 31 (3), 2012, s. 5-23
Seria
ISBN
978-83-62662-62-3
ISSN
0137-477X