Journal
REMOTE SENSING OF ENVIRONMENT
Volume 177, Issue -, Pages 101-106Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2016.02.033
Keywords
Water clarity; Secchi disk depth; Landsat-8; Semi-analytical algorithm; Inherent optical properties
Funding
- National Aeronautics and Space Administration (NASA) Ocean Biology and Biogeochemistly and Water and Energy Cycle Programs [NNX14AK08G, NNX14AQ47A, NNX14AM15G]
- National Oceanic and Atmospheric Administration (NOAA) JPSS VIIRS Ocean Color Cal/Val Project [DG-133E-12-SE-1931]
- United States Geological Survey [G12PC00072]
- National Natural Science Foundation of China [41376177]
- Ministry of Science and Technology of China [2013BAB04B00]
- University of Massachusetts Boston
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The newly developed semi-analytical scheme (Lee et al., 2015a) for remote sensing of the Secchi disk depth (Z(SD), m) was modified and applied to Landsat-8 data to obtain high-spatial-resolution map of water clarity. In order to implement the quasi-analytical algorithm (QAA) for the derivation of absorption and backscattering coefficients from Landsat-8 data, which are key optical properties for the estimation of Z(SD), the representative wavelengths of Landsat-8 bands in the visible domain are verified; so are the absorption and backscattering coefficients of pure water for these bands. This semi-analytical scheme was then applied to a dataset having both in situ measurements of Z(SD) (similar to 0.1-30 m) and remote-sensing reflectance and found that the estimated Z(SD) from remote sensing matches measured Z(SD) very well (R-2 = 0.96, average absolute percent difference similar to 17%, N = 197). This scheme was further applied to a Landsat-8 image collected in an estuary to obtain high-spatial resolution Z(SD) map, and the obtained spatial distribution of Z(SD) is found quite consistent with in situ measurements and visual observations. These results indicate an important application of Landsat data - to provide reliable high-resolution water clarity product of bays, estuaries, and lakes with a unified mechanistic system. (C) 2016 Elsevier Inc. All rights reserved.
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