4.7 Article

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

期刊

REMOTE SENSING
卷 12, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/rs12010157

关键词

Sentinel-2A; northern lakes; remote sensing; atmospheric correction; coloured dissolved organic matter (CDOM); water quality

资金

  1. Royal Physiographic Society of Lund, Sweden [161116]
  2. Helge Ax:son Johnsons Stiftelse, Sweden [F18-0483]
  3. Ministry of Higher Education, Sultanate of Oman
  4. Swedish Research Council [2018-00430]
  5. Stiftelse AForsk
  6. Swedish Research Council [2018-00430] Funding Source: Swedish Research Council

向作者/读者索取更多资源

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 km(2). 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) (R-2 = 0.28, n = 46), and this relationship was further improved (R-2 = 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.

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