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Proceedings Paper

Impact analysis of pansharpening Landsat ETM+, Landsat OLI, WorldView-2, and Ikonos images on vegetation indices
Author(s): Dušan Jovanović; Miro Govedarica; Filip Sabo; Radmila Važić; Dragana Popović
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Paper Abstract

The aim of our study was to verify the impact that pansharpening (PS) methods produce on vegetation indices. We used images with both moderate (Landsat 7, Landsat 8) and high (World View2, Ikonos) spatial resolution on which we performed three methods of PS (Brovey transform, Gram-Schmidt and Principal component). The study is based on the differences of vegetation indices (VI) values before and after the pansharpening method is applied. The difference is quantified as an root mean square error. Vegetation indices used in this study were: NDVI, MSAVI2, EVI2, GNDVI, OSAVI and SAVI. Statistical analysis is carried out by calculating coefficients of correlation, root mean square errors and bias calculations for every vegetation index before and after pansharpening procedure is done. The results imply that the BT gave the most diverse results between original VI values and the PS VI values, while the GS and PC methods preserved the values of pixel bands, and that the effect of any PS method is most evident when using Ikonos bands.

Paper Details

Date Published: 12 August 2016
PDF: 10 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 968814 (12 August 2016); doi: 10.1117/12.2241543
Show Author Affiliations
Dušan Jovanović, Univ. of Novi Sad (Serbia)
Miro Govedarica, Univ. of Novi Sad (Serbia)
Filip Sabo, Univ. of Novi Sad (Serbia)
Radmila Važić, Univ. of Novi Sad (Serbia)
Dragana Popović, Univ. of Novi Sad (Serbia)

Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)

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