Assessing the effectiveness of Landsat 8 chlorophyll a retrieval algorithms for regional freshwater monitoring

Author:

Boucher Jonah1,Weathers Kathleen C.2,Norouzi Hamid34,Steele Bethel2

Affiliation:

1. Hamilton College; Clinton New York 13323 USA

2. Cary Institute of Ecosystem Studies; Millbrook New York 12545 USA

3. Earth and Environmental Sciences; The Graduate Center; City University of New York; New York NY 10016 USA

4. New York City College of Technology; City University of New York; Brooklyn NY 11201 USA

Publisher

Wiley

Subject

Ecology

Reference38 articles.

1. Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI);Alawadi;Proceedings of the International Society for Optics and Photonics,2010

2. Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations;Beck;Remote Sensing of Environment,2016

3. Assessing remotely sensed chlorophyll-a for the implementation of the Water Framework Directive in European perialpine lakes;Bresciani;Science of the Total Environment,2011

4. Determination of chlorophyll concentration changes in Lake Garda using an image-based radiative transfer code for Landsat TM images;Brivio;International Journal of Remote Sensing,2001

5. Increases in phosphorus at the sediment-water interface may influence the initiation of cyanobacterial blooms in an oligotrophic lake;Carey;International Association of Theoretical and Applied Limnology: Negotiations,2009

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