Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes
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Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes

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  • Journal Title:
    Remote Sensing of Environment
  • NOAA Program & Office:
  • Description:
    The potential strengths and limitations of the Landsat systems for water clarity and colored dissolved organic matter (CDOM) measurement were evaluated in Minnesota in the summers of 2013 and 2014. Optical water quality characteristics, including chlorophyll a, total suspended solids (TSS), dissolved organic carbon (DOC), and CDOM were collected along with imagery from Landsats 7 and 8. Sites represented a wide range of concentrations of CDOM, chlorophyll, and mineral suspended solids (MSS), the primary factors that affect reflectance. Clear images from September 24, 2013 (Landsat 7) and September 16, 2013 (Landsat 8) acquired for northern Minnesota eight days apart allowed comparison of the respective ETM + and OLI sensors for CDOM measurements. We examined a wide variety of potential band and band ratio models and found some two-variable models that included the NIR band worked well for Landsat 8 (R2 = 0.82) and reasonably well for Landsat 7 (R2 = 0.74). The commonly used green/red model had a poor fit for both sensors (R2 = 0.24, 0.25), and five sites with high MSS were clear outliers. Exclusion of these sites and other sites not included with the Landsat 7 dataset yielded a less optically complex subset of 20 coincident lakes. For this subset strong models were found for many band and band ratio models, including the commonly used green/red model with R2 = 0.79 for Landsat 7 and R2 = 0.81 for Landsat 8. The less optically complex subset may explain why the green/red model has worked well in other areas. For optically complex waters CDOM models that used the new Landsat 8 ultra-blue and narrower NIR band worked best for the full dataset indicating that the new bands and other Landsat 8 characteristics, such as higher radiometric sensitivity and improved signal-to-noise ratios, improve CDOM measurements.
  • Source:
    Remote Sensing of Environment 185: 119-128
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    Accepted Manuscript
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    Library
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