Estimating lake carbon fractions from remote sensing data
2015 (English)In: Remote Sensing of Environment, ISSN 0034-4257, E-ISSN 1879-0704, Vol. 157, 138-146 p.Article in journal (Refereed) Published
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 pCO(2)) 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 Malaren and Tamnaren 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. (C) 2014 Elsevier Inc All rights reserved.
Place, publisher, year, edition, pages
2015. Vol. 157, 138-146 p.
Remote sensing, Lakes, CDOM, DOC, TOC, MERIS
IdentifiersURN: urn:nbn:se:uu:diva-245354DOI: 10.1016/j.rse.2014.05.020ISI: 000348257100012OAI: oai:DiVA.org:uu-245354DiVA: diva2:791422