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Estimate Water Surface Temperature from the Landsat 8 TIR bands
using the Split Window Algorithm: A Case Study for Devils Lake
Afshin Shabani and Xiaodong Zhang
Earth System Science and Policy Department
Lake water temperature
http://www.fondriest.com/environmental-
measurements/parameters/water-quality/dissolved-oxygen/#8
Effect of Water Temperature
▪ Solubility of dissolved oxygen
▪ Rate of plant growth
▪ Metabolic rate of organism
▪ Chemical reaction
Devils Lake
http://www.perchpatrol.com/fishery.htm
Largest natural water body in North Dakota
Area: 810 km2
Perch capital of the
word
Split window algorithm
𝑇𝑆=𝐴0+𝐴1 𝑇10 − 𝐴2 𝑇11
Water surface
temperature Brightness temperature
Coefficients determined by atmospheric
transmittance and WSE in both TIRS band
Qin et al. (2001) WSE= 0.98
Developing a software tool using Python and GDAL
Landsat Image
Brightness temperature
Mask water
MODIS water
vapor
MODTRAN
Comparison against observation
Water temperature
Devils Lake water surface temperature
Validation using buoy data
Hydrology and hydrodynamic models
SWAT CE-QUAL-W2
Calibrated Streamflow
R2 > 0.52
PBIAS < ± 23%
ENS >0.51
Hourly water temperature
Devils Lake 2008-2014Devils Lake 2008-2014
Calibrated Water Temperature
Conclusion
Satellite image
• Provide skin temperature
• Quick with high spatial
resolution
• Does not require field data
Hydrodynamic model
• Provide profile temperature
• High temporal resolution
• High accuracy
Acknowledgment
• This research has been supported by
National Science Foundation (NSF), U.S. Department of Agriculture (USDA),
and North Dakota Water Resource Research Institute (NIWR)
Thank you

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