Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/8641
Title: Fusion of MODIS Images Using Kriging With External Drift
Authors: Sales, Marcio H. Ribeiro 
Souza, Carlos M. 
Kyriakidis, Phaedon 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Correlation;MODIS;Marketing and sales;Principal component analysis;Spatial resolution;Wavelet transforms
Issue Date: Apr-2013
Source: IEEE Transactions on Geoscience and Remote Sensing, 2013, vol. 51, no. 4, pp. 2250 - 2259
Volume: 51
Issue: 4
Start page: 2250
End page: 2259
Journal: IEEE Transactions on Geoscience and Remote Sensing 
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: https://hdl.handle.net/20.500.14279/8641
ISSN: 1962892
DOI: 10.1109/TGRS.2012.2208467
Rights: © IEEE
Type: Article
Affiliation : Instituto do Homem e Meio Ambiente da Amazônia 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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