Comparison of multi-sensor data application in algal bloom detection - Details

author：

Sun, L. (Sun, L..) ^[1] | Chen, Y. (Chen, Y..) ^[2] | Wang, X. (Wang, X..) ^[3]

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Scopus

Abstract：

Satellite　remote　sensing　plays　a　significant　role　in　algal　bloom　monitoring　and　detection　over　these　decades.　Different　satellite　data　from　SeaWiFS,　MODIS/Aqua,　MODIS/Terra　and　MERIS　were　processed　for　East　China　Sea　in　May　2008.　Derived　normalized　water-leaving　radiance　(nLw),　chlorophyll　concentration　(Chl)　and　fluorescence　line　height　(FLH)　were　compared　and　analysed　for　these　sensors.　The　comparison　results　show　that　nLw　data　from　MODIS/Terra　with　SeaWiFS　and　MODIS/Terra　with　MERIS　have　more　reliable　correlation　than　those　from　MODIS/Terra　with　MODIS/Aqua.　The　Chl　comparsions　reveal　the　good　capability　of　MODIS/Terra　and　MERIS　better　than　others.　Therefore,　it　would　be　feasible　to　continue　the　time　series　using　multi-sensor　data　and　improve　the　data　merging　in　algal　bloom　detection.　©2010　IEEE.

Keyword：

Chl; MERIS; MODIS; SeaWiFS

Community：

[ 1 ] [Sun, L.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China
[ 2 ] [Sun, L.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China
[ 3 ] [Chen, Y.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China
[ 4 ] [Chen, Y.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China
[ 5 ] [Wang, X.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China
[ 6 ] [Wang, X.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China

Reprint 's Address：

[Sun, L.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China

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Source ：

Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

Year： 2010

Volume： 5

Page： 2144-2148

Language： English

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SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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