Remote chlorophyll-a retrieval in Case-II waters using an improved model and IRS-P6 satellite data-Reference-Cited by-同舟云学术

Remote chlorophyll-a retrieval in Case-II waters using an improved model and IRS-P6 satellite data

Published:2010-09-20 Issue:17-18 Volume:31 Page:4609-4623
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xu Jing-Ping¹²,Li Fang³,Zhang Bai⁴,Gu Xing-Fa¹²,Yu Tao¹²

Affiliation:

1. a State Key Laboratory of Remote Sensing Science , Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University , Beijing, 100101, China

2. b The Center for National Spaceborne Demonstration , Beijing, 100101, China

3. c National Marine Environmental Monitoring Center , Dalian, 116023, China

4. d Department of RS and GIS , Northeast Institute of Geography and Agroecology, Chinese Academy of Science , Changchun, 130012, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.485136

Reference32 articles.

1. Detecting water quality parameters in the Norfolk Broads, U.K., using Landsat imagery

2. Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results

3. Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands

4. The Remote Sensing Loosdrecht Lakes project

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