DocumentCode :
3690050
Title :
Chlorophyll-a estimation in Lake Shinji from Landsat-8 OLI data using Linear Combination Index (LCI) algorithm
Author :
Yuji Sakuno;Hidenobu Kunii
Author_Institution :
Hiroshima Univ.
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
715
Lastpage :
718
Abstract :
Chlorophyll-a (Chl.a) estimation in Lake Shinji, Japan from Landsat-8 OLI data using Linear Combination Index (LCI) algorithm is conducted. The OLI data was converted Rayleigh corrected reflectance (Rtr) and the Rtr was applied to LCI equation for the OLI. Four satellites / in situ data set in May and September 2013, April and July 2014 were collected. As a result, a significant correlation was observed between LCI for the OLI and in situ Chl.a. The correlation coefficient and root mean squire error are 0.66 and 4.2 μg L-1 respectively. The average Chl.a distribution in the lake estimated from PLI data was low in littoral region relatively.
Keywords :
"Lakes","Satellites","Remote sensing","Earth","Reflectivity","Estimation","Indexes"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7325864
Filename :
7325864
Link To Document :
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