Paper Info
Title
A study of inversion modeling of water quality parameters in the dianchi lake using CCD1 data of HJ-1A satellite
Abstract
Monitoring of water quality using remote sensing data can better reflect the distribution and changes of regional water quality in space and time, and is particularly suitable for rapid monitoring of a wide range of waters. In this paper, we research quantitative remote sensing methods for two water quality parameters of suspended sediment and chlorophyll a in Dianchi Lake by using CCD1 data of HJ-1A satellites. The experimental results show that: band2, band3 and band4 correlate bestwith suspended sediment concentrations, which is the best band combinations is (b2+b3)/(b2/b3) in building the inversion model of suspended sediment concentrations. For chlorophyll a, band3 and band4 have the best correlation, which is the best band combinations is (b4-b3)/(b4+b3) in building the inversion model of chlorophyll a concentrations. Finally, based on fitting trend analysis for selected band combinations, we built inversion model of water quality parameters about the Dianchi Lake.
Year
DOI
Venue
2014
10.1109/GEOINFORMATICS.2014.6950798
Geoinformatics
Keywords
Field
DocType
suspended sediment concentrations,remote sensing,water quality,lakes,chlorophyll a,water quality parameters,suspended sediment,ccd1,dianchi lake,water quality monitoring,hj-la satellite,regional water quality,ccd data,quantitative remote sensing methods,satellites,correlation,sediments
Sediment,Trend analysis,Satellite,Inversion (meteorology),Hydrology,Computer science,Chlorophyll a,Remote sensing,Water quality
Conference
ISSN
Citations 
PageRank 
2161-024X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Rong Yang100.34
Kun Yang2477.94
Liang Hong319333.79
Yang Yan4275.81