title: [Evaluation of total suspended matter based on spectral classification].
abstract: Total suspended matter concentration is one of the important parameters of water component. Traditional retrieval model ignored the difference of case 2 water which has complex optical properties. In the present study, we developed a method of water classification based on optical classification using HJ-1 multispectral data. We divided the water into two types and developed a retrieval model suitable for different water type. The results indicate: (1) the accuracy of retrieved results based on spectral classification has been improved; (2) exponential model reflects the relationship between suspended sediment concentration and retrieved factor and is better for type I water, while linear model is better for type II water.
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China. liyuannjnu@163.com
authors.forename: Yuan
authors.initials: Y
authors.lastname: Li
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Yun-Mei
authors.initials: YM
authors.lastname: Li
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Shi
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Heng
authors.initials: H
authors.lastname: Lü
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Yu-Long
authors.initials: YL
authors.lastname: Guo
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Li
authors.initials: L
authors.lastname: Zhou
authors.affiliation: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
authors.forename: Ge
authors.initials: G
authors.lastname: Liu