NDLI: Integration of multisource data for chlorophyll-a monitoring in Negombo estuary, Sri Lanka

Content Provider	IEEE Xplore Digital Library
Author	Dahanayaka, D.D.G.L. Tonooka, H. Wijeyaratne, M.J.S. Minato, A. Ozawa, S.
Copyright Year	2011
Description	Author affiliation: University of Kelaniya, Sri Lanka (Wijeyaratne, M.J.S.) \|\| Ibaraki University, Japan (Dahanayaka, D.D.G.L.; Tonooka, H.; Minato, A.; Ozawa, S.)
Abstract	In order to estimate chlorophyll-a concentration (Chl-a) for tropical coastal estuarine environments using satellite optical sensor, observations were conducted from 1987 to 2009 in Negombo estuary, Sri Lanka, with support with available in-situ measurements. Landsat band ratios were regressively analyzed with available in-situ Chl-a data. This relationship was used for correcting MODIS OC3 Chl-a values, and then ASTER band ratios were regressively analyzed with the corrected MODIS values. The regression equations obtained for ASTER and Landsat were used to develop algorithms for generation of 15m and 30m resolution Chl-a distribution maps, respectively, in Negombo estuary using atmospherically-corrected time-series imageries. The results indicate that some parts of the estuary have increased eutrophication conditions during 1987–2009.
Starting Page	2149
Ending Page	2152
File Size	963240
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Remote sensing Earth MODIS Sea measurements Correlation Monitoring regression analysis chlorophyll-a Sri Lanka Negombo estuary ASTER Landsat OC3 algorithm
Content Type	Text
Resource Type	Article

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