The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Photo of Hakim Abdi

Hakim Abdi

Researcher

Photo of Hakim Abdi

Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data

Author

  • Enass Said. Al-kharusi
  • David E. Tenenbaum
  • Abdulhakim M. Abdi
  • Tiit Kutser
  • Jan Karlsson
  • Ann-kristin Bergström
  • Martin Berggren

Summary, in English

Owing to the significant societal value of inland water resources, there is a need for cost-effective monitoring of water quality on large scales. We tested the suitability of the recently launched Sentinel-2A to monitor a key water quality parameter, coloured dissolved organic matter (CDOM), in various types of lakes in northern Sweden. Values of a(420)CDOM (CDOM absorption at 420 nm wavelength) were obtained by analyzing water samples from 46 lakes in five districts across Sweden within an area of approximately 800 km2. We evaluated the relationships between a(420)CDOM and band ratios derived from Sentinel-2A Level-1C and Level-2A products. The band ratios B2/B3 (460 nm/560 nm) and B3/B5 (560 nm/705 nm) showed poor relationships with a(420)CDOM in Level-1C and 2A data both before and after the removal of outliers. However, there was a slightly stronger power relationship between the atmospherically-corrected B3/B4 ratio and a(420)CDOM (R2 = 0.28, n = 46), and this relationship was further improved (R2 = 0.65, n = 41) by removing observations affected by light haze and cirrus clouds. This study covered a wide range of lakes in different landscape settings and demonstrates the broad applicability of a(420)CDOM retrieval algorithms based on the B3/B4 ratio derived from Sentinel-2A. View Full-Text

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Centre for Environmental and Climate Science (CEC)
  • BECC: Biodiversity and Ecosystem services in a Changing Climate

Publishing year

2020

Language

English

Pages

157-157

Publication/Series

Remote Sensing

Volume

12

Issue

1

Document type

Journal article

Publisher

MDPI AG

Topic

  • Remote Sensing
  • Geosciences, Multidisciplinary
  • Environmental Sciences

Keywords

  • Sweden
  • Earth observation
  • Colored dissolved organic matter
  • Remote sensing

Status

Published

ISBN/ISSN/Other

  • ISSN: 2072-4292