Landsat observations of chlorophyll-a variations in Lake Taihu from 1984 to 2019-Reference-Cited by-同舟云学术

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Landsat observations of chlorophyll-a variations in Lake Taihu from 1984 to 2019

Published:2022-02 Issue: Volume:106 Page:102642
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Cao Zhigang,Ma Ronghua,Melack John M.,Duan Hongtao,Liu Miao,Kutser Tiit,Xue Kun,Shen Ming,Qi Tianci,Yuan Huili

Funder

Estonian Research and Development Council

Natural Science Foundation of Jilin Province

National Natural Science Foundation of China

Eesti Teadusagentuur

Jiangsu Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference60 articles.

1. A multi-sensor approach for the on-orbit validation of ocean color satellite data products;Bailey;Remote Sens. Environ.,2006

2. Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales;Cao;Remote Sens. Environ.,2017

3. Effects of broad bandwidth on the remote sensing of inland waters: Implications for high spatial resolution satellite data applications;Cao;ISPRS J. Photogramm. Remote Sens.,2019

4. A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes;Cao;Remote Sens. Environ.,2020

5. Chen, T., Guestrin, C., 2016. XGBoost: A scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 785–794). San Francisco, California, USA: Association for Computing Machinery.

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