Watershed

Oral

394843 - State-of-Practice of Remote Sensing for Total Maximum Daily Load Modeling

Wednesday, June 6
4:00 PM - 5:30 PM
Location: Greenway IJ

Remotely sensed data can be a shot in the arm to TMDL modeling where reliable data to calibrate and validate models is often lacking. The methods to collect data remotely, particularly using aerial and satellite-based platforms, have been around for a long time now. However, wide adoption of these techniques has been lacking. There is a technological barrier to using or collecting remotely sensed data that may be responsible for slow adoption. In this talk, we will present results from our ongoing study to look at over 70,000 TMDL reports submitted to the USEPA to assess the use of remotely sensed data in TMDL modeling. We will also present some data source and methods that may be easily adopted by the community and case studies on how remote sensing has been applied to TMDL modeling.

Saurav Kumar

Research Assistant Professor
University of Texas At El Paso

Presentation(s):

Send Email for Saurav Kumar

Wissam Atwah, Doctoral

Environmental sicnrce and Engineering PH.D
The University of Texas At El Paso

Presentation(s):

Send Email for Wissam Atwah


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394843 - State-of-Practice of Remote Sensing for Total Maximum Daily Load Modeling



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