Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach-Reference-Cited by-同舟云学术

Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

Published:2020-04 Issue: Volume:240 Page:111604
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Pahlevan Nima,Smith Brandon,Schalles John,Binding Caren,Cao Zhigang,Ma Ronghua,Alikas Krista,Kangro Kersti,Gurlin Daniela,Hà Nguyễn,Matsushita Bunkei,Moses Wesley,Greb Steven,Lehmann Moritz K.,Ondrusek Michael,Oppelt Natascha,Stumpf Richard

Funder

U.S. Geological Survey

National Aeronautics and Space Administration

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference110 articles.

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3. Mixture density networks;Bishop,1994

4. Are harmful algal blooms becoming the greatest inland water quality threat to public health and aquatic ecosystems?;Brooks;Environ. Toxicol. Chem.,2016

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