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Proceedings Paper

Multi-resolution analysis of MODIS and ASTER satellite data for water classification
Author(s): Corina Alecu; Simona Oancea; Emily Bryant
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Paper Abstract

In Romania there are many areas flooded every year. The estimation of the surfaces covered by water in the post-crisis periods is of real use for the decision makers at all levels. Due to the constraint that high spatial resolution satellite images are low temporal resolution, there exists a need for a reliable method to obtain accurate information from medium resolution data, for example, MODIS satellite images. The overall goal of this paper is to classify MODIS data to get an estimate of water surface area. To develop the classification technique, the strategy was to obtain MODIS and ASTER data acquired at the same time over the same location, and use the ASTER data as "ground truth". For this study, two lakes in the Bihor County of Romania were chosen and MODIS and ASTER data from October 31, 2002 were utilized. The ASTER data were used to create a detailed water mask to be used as ground truth for the MODIS water classification. The percent water image derived from ASTER was superimposed on the MODIS image. A supervised classification for water was performed on the 3-band MODIS image using the feature space algorithm. The water surface area as measured from the MODIS classification was about 16% more than the ASTER ground truth-value. This approach provided useful information concerning the water classification from different resolution data that could help in the estimation of water surface area from MODIS imagery.

Paper Details

Date Published: 31 October 2005
PDF: 5 pages
Proc. SPIE 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, 59831Z (31 October 2005); doi: 10.1117/12.649848
Show Author Affiliations
Corina Alecu, National Meteorological Administration (Romania)
Simona Oancea, National Meteorological Administration (Romania)
Emily Bryant, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 5983:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
Manfred Ehlers; Ulrich Michel, Editor(s)

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