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Digital aerial images land cover classification based on vegetation indices

Author

Listed:
  • Dzieszko Maciej

    (Bielewo 22, 64-010 Krzywiń)

  • Dzieszko Piotr

    (Adam Mickiewicz University, Institute of Geoecology and Geoinformation, Poznań, Poland)

  • Królewicz Sławomir

    (Jerzy Cierniewsk i Adam Mickiewicz University, Institute of Physical Geography and Environmental Planning, Department of Soil Science and Remote Sensing of Soils, Poznań, Poland)

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.

Suggested Citation

  • Dzieszko Maciej & Dzieszko Piotr & Królewicz Sławomir, 2012. "Digital aerial images land cover classification based on vegetation indices," Quaestiones Geographicae, Sciendo, vol. 31(3), pages 5-23, October.
    • Handle: RePEc:vrs:quageo:v:31:y:2012:i:3:p:5-23:n:7
    DOI: 10.2478/v10117-012-0026-4
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