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Journal of Applied Remote Sensing

Vegetation extraction from IKONOS imagery using high spatial resolution index
Author(s): Miloud Chikr El-Mezouar; Nasreddine Taleb; Kidiyo Kpalma; Joseph Ronsin
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Paper Abstract

In vegetation change monitoring and urban planning, the measurement and mapping of the green vegetation over the Earth play an important role. The normalized difference vegetation index (NDVI) is the most popular measure to generate vegetation maps which resolution depends on that of the input images. High-resolution imagery can lead to better vegetation classification accuracy. Various methods are proposed to provide high spatial resolution vegetation indices based on a fusion concept. IKONOS produces high spatial resolution panchromatic (Pan) images and moderate spatial resolution multispectral (MS) images. Generally, for an image fusion purpose, the conventional bi-cubic interpolation scheme is used to resize MS images. Nevertheless, this scheme fails around edges and consequently produces blurred edges and annoying artifacts in interpolated MS images. To avoid this problem, an artifact-free image interpolation method is proposed. This study presents a modified NDVI that provides high spatial resolution maps which differentiate vegetated surfaces from other surfaces when using IKONOS imagery. This vegetation index (HRNDVI: high resolution NDVI) is based on a newly derived formula including high spatial resolution information from IKONOS. The HRNDVI is computed based on the resampled MS images and the Pan images. The proposed vegetation index takes advantage of both the high spatial resolution information of Pan images and the robustness of the interpolation technique. Visual and quantitative analysis demonstrates that this index appears promising and performs well in vegetation extraction and visualization.

Paper Details

Date Published: 1 January 2011
PDF: 15 pages
J. Appl. Remote Sens. 5(1) 053543 doi: 10.1117/1.3624518
Published in: Journal of Applied Remote Sensing Volume 5, Issue 1
Show Author Affiliations
Miloud Chikr El-Mezouar, Univ. Djilali Liabès de Sidi Bel Abbes (Algeria)
Nasreddine Taleb, Univ. Djilali Liabès de Sidi Bel Abbes (Algeria)
Kidiyo Kpalma, Institut National des Sciences Appliquées de Rennes (France)
Joseph Ronsin, Institut National des Sciences Appliquées de Rennes (France)

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