Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/8641
Title: Fusion of MODIS Images Using Kriging With External Drift
Authors: Sales, Marcio H. Ribeiro
Souza, Carlos M.
Kyriakidis, Phaedon
Keywords: Correlation
MODIS
Marketing and sales
Principal component analysis
Spatial resolution
Wavelet transforms
Issue Date: Apr-2013
Publisher: IEEE
Source: IEEE Transactions on Geoscience and Remote Sensing, 2013, Volume 51, Issue 4, pages 2250 - 2259
Abstract: The Moderate Resolution Imaging Spectroradiometer (MODIS) has been used in several remote sensing studies, including land, ocean, and atmospheric applications. The advantages of this sensor are its high spectral resolution, with 36 spectral bands; its high revisiting frequency; and its public domain availability. The first seven bands of MODIS are in the visible, near-infrared, and mid-infrared spectral regions of the electromagnetic spectrum which are sensitive to spectral changes due to deforestation, burned areas, and vegetation regrowth, among other land-use changes, making near-real-time forest monitoring a suitable application. However, the different spatial resolution of the spectral bands placed in these spectral regions imposes challenges to combine them in forest monitoring applications. In this paper, we present an algorithm based on geostatistics to downscale five 500-m MODIS pixel bands to match two 250-m pixel bands. We also discuss the advantages and limitations of this method in relation to existing downscaling algorithms. Our proposed method merges the data to the best spatial resolution and better retains the spectral information of the original data.
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/8641
ISSN: 0196-2892
DOI: 10.1109/TGRS.2012.2208467
Rights: © Copyright IEEE - All rights reserved
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