• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
  • View Item
  •   LillOA Home
  • Liste des unités
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Estimating lake carbon fractions from ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.1016/j.rse.2014.05.020
Title :
Estimating lake carbon fractions from remote sensing data.
Author(s) :
Kutser, Tiit [Auteur]
Verpoorter, Charles [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Paavel, Birgot [Auteur]
Tranvik, Lars J [Auteur]
Journal title :
Remote Sensing of Environment
Pages :
138-146
Publisher :
Elsevier
Publication date :
2015-02
ISSN :
0034-4257
HAL domain(s) :
Planète et Univers [physics]/Sciences de la Terre/Océanographie
English abstract : [en]
Issues like monitoring lake water quality, studying the role of lakes in the global carbon cycle or the response of lakes to global change require data more frequently and/or over much larger areas than the in situ water ...
Show more >
Issues like monitoring lake water quality, studying the role of lakes in the global carbon cycle or the response of lakes to global change require data more frequently and/or over much larger areas than the in situ water quality monitoring networks can provide. The aim of our study was to investigate whether it is feasible to estimate different lake carbon fractions (CDOM, DOC, TOC, DIC, TIC and pCO2) from space using sensors like OLCI on future Sentinel 3. In situ measurements were carried out in eight measuring stations in two Swedish lakes within 2 days of MERIS overpass. The results suggest that the MERIS CDOM product was not suitable for estimating CDOM in lakes Mälaren and Tämnaren and was not a good proxy for mapping lake DOC and TOC from space. However, a simple green to red band ratio and some other MERIS products like the total absorption coefficient, turbidity index, suspended matter and chlorophyll-a were correlated with different carbon fractions and could potentially be used as proxies to map these lake carbon fractions (CDOM, DOC, TOC, DIC, TIC and pCO2) from space.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
Source :
Harvested from HAL
Université de Lille

Mentions légales
Université de Lille © 2017