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Proceedings Paper

MODIS and Landsat TM data image fusion based on improved resolution method: assessing the quality of resulting NDVI images
Author(s): Jong-Hwa Park; Sangil La
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Paper Abstract

The monitoring of vegetation in nearby urban regions is made difficult by the low spatial and temporal resolution image captures. Image fusion is one of the important techniques for spatial image resolution enhancing. In order to utilize respective information from different remote sensing images, we propose an image fusion method based on improved resolution method. Recent studies have successfully estimated NDVI using improved resolution method such as from the MODIS onboard EOS Terra satellite. Enhancement of MODIS NDVI image using LANDSAT TM image is performed on various images. The results demonstrate accurate spectral preservation on vegetated regions where MODIS image enhances the fusion product, which can be usefully applied for both visual analysis and classification purposes. Subjective visual effect and objective statistical results indicate that the performance of the improved resolution method is better than original MODIS images. It not only preserves spectral information of the original multi-spectral image well, but also enhances spatial detail information greatly. To provide a continuous monitoring capability for NDVI, in situ measurements of NDVI from paddy field was carried out in 2004 for comparison with remotely sensed MODIS data. We compare and discuss NDVI estimates from MODIS sensors and in-situ spectro-radiometer data over Ochang plain region. These results indicate that the MODIS NDVI is underestimated by approximately 50%.

Paper Details

Date Published: 9 October 2007
PDF: 10 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420S (9 October 2007); doi: 10.1117/12.737040
Show Author Affiliations
Jong-Hwa Park, Chungbuk National Univ. (South Korea)
Sangil La, SUNDOSOFT, Inc. (South Korea)


Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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