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1. Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8

Author:
Vanhellemont, Quinten; Ruddick, Kevin
Source:
Remote sensing of environment 2015 v.161 pp. 89-106
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; aerosols; brackish water; color; dredging; models; moderate resolution imaging spectroradiometer; monitoring; reflectance; remote sensing; suspended sediment; temporal variation; turbidity; uncertainty; water quality; wavelengths;     Show all 17 Subjects
Abstract:
... Monitoring of water quality by satellite ocean colour data requires high quality atmospheric correction and especially the accurate quantification of the aerosol contribution to the top of atmosphere radiance. Several methods have been proposed for atmospheric correction over turbid waters, including modelling the marine contributions to the NIR signal or switching to longer short-wave infrared (S ...
DOI:
10.1016/j.rse.2015.02.007

2. A linear physically-based model for remote sensing of soil moisture using short wave infrared bands

Author:
Sadeghi, Morteza; Jones, Scott B.; Philpot, William D.
Source:
Remote sensing of environment 2015 v.164 pp. 66-76
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; models; moderate resolution imaging spectroradiometer; radiative transfer; reflectance; remote sensing; soil water; soil water content; solar radiation; surface water; water content; wavelengths;     Show all 13 Subjects
Abstract:
... Technological advances in satellite remote sensing have offered a variety of techniques for estimating surface soil water content as a key variable in numerous environmental studies. Optical methods are particularly valuable for remote sensing of soil moisture since reflected solar radiation is the strongest passive signal available to satellites and thus observations at optical wavelengths are ca ...
DOI:
10.1016/j.rse.2015.04.007

3. Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM+ shortwave infrared bands

Author:
Oyama, Yoichi; Matsushita, Bunkei; Fukushima, Takehiko
Source:
Remote sensing of environment 2015 v.157 pp. 35-47
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; algae; chlorophyll; lakes; macrophytes; normalized difference vegetation index; reflectance; remote sensing; spectral analysis; surveys; temporal variation; wavelengths; Indonesia; Japan;     Show all 15 Subjects
Abstract:
... Satellite remote sensing can be considered a suitable approach to monitor the extent of cyanobacterial blooms compared with conventional ship surveys because of the patchiness and high spatial and temporal variability of the blooms. However, most of the existing algorithms are not capable of distinguishing cyanobacterial blooms and aquatic macrophytes due to their similar spectral characteristics ...
DOI:
10.1016/j.rse.2014.04.031

4. Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters

Author:
Brezonik, Patrick L.; Olmanson, Leif G.; Finlay, Jacques C.; Bauer, Marvin E.
Source:
Remote sensing of environment 2015 v.157 pp. 199-215
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; absorbance; chlorophyll; color; data collection; dissolved organic matter; lakes; models; new combination; prediction; reflectance; remote sensing; rivers; space and time; surface water; uncertainty; wavelengths;     Show all 18 Subjects
Abstract:
... A combination of new measurements and analysis of historical data from several geographic regions was used to address four issues that affect the reliability and interpretation of colored dissolved organic matter (CDOM) measured by remote sensing of inland waters. First, high variability of CDOM levels in lakes and rivers was found at seasonal and multi-year time scales and at shorter intervals in ...
DOI:
10.1016/j.rse.2014.04.033