Paper Info
Title
Water quality remote sensing monitoring research in China based on the HJ-1 satellite data
Abstract
The domestic interior water body was monitored Based on an HJ-1 satellite multi-spectrum data. Chlorophyll a density is inverted from the empirical model based on the different area and different season. Suspension density inversion is based on the photobiology model of near-infrared waveband method. Based on chlorophyll a and the suspension density, the interior water body trophic level index is monitored using remote sensing data. There was a synchronized observation experiment in Lake Chaohu in June, 2009. The measurement data confirms the water quality parameter inversion algorithm. The results indicated that the chlorophyll a density inversion precision is inferior to the suspension density, but both inversion precision meets the water environmental monitoring service demand.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5653595
IGARSS
Keywords
Field
DocType
trophic level index,remote sensing,near infrared waveband method,water quality,lakes,remote sensing inversion,remote sensing monitoring,interior water body,china,suspension density inversion,hj-1 satellite,water environmental monitoring,suspension density,environmental monitoring (geophysics),hj-1 satellite data,suspensions,lake chaohu,chlorophyll a density,ad 2009 06,indexation,spectrum,seasonality,empirical model,water pollution,trophic level,indexes,environmental monitoring,near infrared
Meteorology,Suspension (vehicle),Satellite,Inversion (meteorology),Chlorophyll a,Computer science,Remote sensing,Water pollution,Environmental monitoring,Water quality,Satellite data
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Yanjuan Yao114.22
Li Zhu200.68
Chuanqing Wu3245.26
Yongjun Zhang400.68
Peijuan Wang5158.26
Ying Wang69218.40
Jing Chen728560.83