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2010 CuttingEdge Workshop Detecting submarine springs in Florida's coastal zone using thermal remote sensing data Teaching GIS and Remote Sensing in the 21 st Centry Abuduwasiti Wulamu, PhD Department of Earth & Atmospheric Sciences, Saint Louis University
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Mapping submarine springs in Florida 2 Aug 8 – 12, 2010 © Abduwasit Ghulam Overview Lab Description Objective Data Retrieval of Surface temperature Signatures of submarine springs from thermal anomaly Conclusion Acknowledgements
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Mapping submarine springs in Florida 3 Aug 8 – 12, 2010 © Abduwasit Ghulam Course Settings College Level 4XX Geospatial Methods Remote Sensing Lab Middle or end of semester A class project or lab assignment
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Mapping submarine springs in Florida 4 Aug 8 – 12, 2010 © Abduwasit Ghulam Lab Description Objective Familiarize students with thermal remote sensing with a practical example Stimulate creative thinking skills Data Landsat ETM+ Census dataset Field collections
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Tallahassee, Florida Study area
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Geovis.USGS.GOV How to get the data
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Mapping submarine springs in Florida 7 Aug 8 – 12, 2010 © Abduwasit Ghulam How to get the data
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Mapping submarine springs in Florida 8 Aug 8 – 12, 2010 © Abduwasit Ghulam How to get the data
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Mapping submarine springs in Florida 9 Aug 8 – 12, 2010 © Abduwasit Ghulam How to get the data
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Mapping submarine springs in Florida 10 Aug 8 – 12, 2010 © Abduwasit Ghulam How to get the data Unzip the downloaded data
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??? Why there are two thermal bands with Landsat ETM+?
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Theoretical background Retrieval of surface temperature
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Mapping submarine springs in Florida 13 Aug 8 – 12, 2010 © Abduwasit Ghulam Thermal radiation http://en.wikipedia.org/
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Mapping submarine springs in Florida 14 Aug 8 – 12, 2010 © Abduwasit Ghulam Workflow DN DN – to Radiance BT Radiance to at sensor temperature LST At sensor brightness temperature to surface temperature
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Mapping submarine springs in Florida 15 Aug 8 – 12, 2010 © Abduwasit Ghulam Radiometric Calibration DN Radiance DN Radiance where the LMIN and LMAX are the spectral radiances for each band at digital numbers 1 and 255. DN is the pixel DN value, λ is the wavelength. One gets LMIN and LMAX values from the header file. http://landsathandbook.gsfc.nasa.gov/handbook/han dbook_htmls/chapter11/chapter11.html
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Mapping submarine springs in Florida 16 Aug 8 – 12, 2010 © Abduwasit Ghulam Radiometric Calibration Radiance Brightness temperature Planck’s function Where, C 1 =1.19104356×10 -16 W m 2 ; C 2 =1.43876869×10 -2 m K
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Mapping submarine springs in Florida 17 Aug 8 – 12, 2010 © Abduwasit Ghulam Radiometric Calibration Radiance Brightness temperature Let K 1 = C 1 / λ 5, and K 2 = C 2 / λ, and satellite measured radiant intensity B λ (T) = L λ Description K 1 (W m -2 sr -1 µm -1 )K 2 (Kelvin) Landsat 7 – ETM+ 666.091282.71 Landsat 5 – TM 607.761260.56
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Mapping submarine springs in Florida 18 Aug 8 – 12, 2010 © Abduwasit Ghulam Land Surface Temperature BT LST λ is the wavelength of emitted radiance. λ = 11.5 μ m (Markham and Barker, 1986) and ρ = h × c/ σ = 14380 m K. Here, σ is Boltzmann constant (1.38 * 10 − 23 J/K), h is Planck’s constant (6.26 * 10 − 34 Js) and c is velocity of light (2.998 * 10 8 m/s).Markham and Barker, 1986 Artis and Carnahan, 1982Artis and Carnahan, 1982. Survey of emissivity variability in thermography of urban areas, Rem. Sens. Environ. 12 (1982), pp. 313–329.
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Mapping submarine springs in Florida 19 Aug 8 – 12, 2010 © Abduwasit Ghulam Land surface temperature BT LST Radiative Transfer – MODTRAN Quasi-physical models JIMÉNEZ-MUÑOZ, J.C., SOBRINO, J.A. 2003. A generalized single- channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research, 108, doi: 10.1029/2003JD003480 QIN, Z., KARNIELI, A., BERLINER, P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22, pp.3719-3746. Srivastava, Majumdar and Bhattacharya. (2009). Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in Space Research, 431(10): 563-1574
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Implementing using ENVI Retrieval of surface temperature
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Basic Tools Band Math DN Radiance ((12.650-3.200)/(255.0-1.0))*(B6- 1.0)+3.200 Radiance Brightness Temperature 1282.71D/(alog(666.09D/B6+1D)) Implementing using ENVI
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Mapping submarine springs in Florida 22 Aug 8 – 12, 2010 © Abduwasit Ghulam Implementing using ENVI File Open Image file
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Mapping submarine springs in Florida 23 Aug 8 – 12, 2010 © Abduwasit Ghulam Implementing using ENVI Color compositing
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Mapping submarine springs in Florida 24 Aug 8 – 12, 2010 © Abduwasit Ghulam Radiometric calibration DN at sensor temperature Basic Tools Preprocessing Calibration Utilities Landsat Calibration
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Mapping submarine springs in Florida 25 Aug 8 – 12, 2010 © Abduwasit Ghulam ENVI Color Mapping Display Window Tools Color Mapping Envi Color Tables Select RainBow
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ArcGIS classification ENVI Color Mapping GIS Visualization
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Save File As Save Image As Export to ArcMap Export to ArcGIS
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Mapping submarine springs in Florida 28 Aug 8 – 12, 2010 © Abduwasit Ghulam Export Image to ArcMap Save Image asSave File As
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Mapping submarine springs in Florida 29 Aug 8 – 12, 2010 © Abduwasit Ghulam Save Image As Display Window Tools Color Mapping Envi Color Tables Select RainBow
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Mapping submarine springs in Florida 30 Aug 8 – 12, 2010 © Abduwasit Ghulam Export Image to ArcMap
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Mapping submarine springs in Florida 31 Aug 8 – 12, 2010 © Abduwasit Ghulam Visualization
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Mapping submarine springs in Florida 32 Aug 8 – 12, 2010 © Abduwasit Ghulam Visualization
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Mapping submarine springs in Florida 33 Aug 8 – 12, 2010 © Abduwasit Ghulam Visualization
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Mapping submarine springs in Florida 34 Aug 8 – 12, 2010 © Abduwasit Ghulam Visualization Classification in ArcMap
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Mapping submarine springs in Florida 35 Aug 8 – 12, 2010 © Abduwasit Ghulam Visualization From ENVI Color Mapping
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Mapping submarine springs in Florida 36 Aug 8 – 12, 2010 © Abduwasit Ghulam Validation
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Mapping submarine springs in Florida 37 Aug 8 – 12, 2010 © Abduwasit Ghulam Conclusion Extensive field work, validation needed Geologic controls, e.g., fractures, aquifers that channels groundwater to the oceans need to be indentified Radar and Optical data fusion is helpful As stated earlier, the objective of this lab is to teach students how to use thermal remote sensing, rather than presenting a “solid” scientific research
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Mapping submarine springs in Florida 38 Aug 8 – 12, 2010 © Abduwasit Ghulam Acknowledgements & References Locational information for the spring vents that were verified on the Taylor County coast provided by Tom Greenhalgh from Florida Geological Survey Artis and Carnahan, 1982. Survey of emissivity variability in thermography of urban areas, Rem. Sens. Environ. 12 (1982), pp. 313–329. Artis and Carnahan, 1982 JIMÉNEZ-MUÑOZ, J.C., SOBRINO, J.A. 2003. A generalized single-channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research, 108, doi: 10.1029/2003JD003480 QIN, Z., KARNIELI, A., BERLINER, P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22, pp.3719-3746. Srivastava, Majumdar and Bhattacharya. (2009). Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in Space Research, 431(10): 563-1574 http://www.dep.state.fl.us/geology/programs/hydrogeology/springs/powerpoint/McClean.p pt http://www.dep.state.fl.us/geology/programs/hydrogeology/springs/powerpoint/McClean.p pt http://www.dep.state.fl.us/ http://www.dep.state.fl.us/ http://glovis.usgs.gov/ http://glovis.usgs.gov/
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Mapping submarine springs in Florida 39 Aug 8 – 12, 2010 © Abduwasit Ghulam Questions and Discussion
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