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The fifth lecture in the environmental applications of remote sensing course, focusing on microwave remote sensing. Students are required to complete several homework assignments, including simulating brightness temperatures for loamy soil using fortran or matlab, writing a report on the smap mission, and analyzing landsat and srtm data to derive discharge. The lecture covers specific applications of remote sensing in soil moisture estimation, discharge using sar interferometry, and precipitation analysis using gpcp data.
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CEE6900 Environmental Applications of Remote Sensing Lecture Five – Microwave Remote Sensing – 18 Hours
¾ Perform a comprehensive review of the ‘Dartmouth Flood Observatory’. This is considered reading material for 2 weeks ¾ HW#7 (Due the first two weeks) A) Write a small program (Fortran or Matlab) to simulate brightness temperatures at 37GHz for loamy soil for moisture content ranging from 5% to 100% (assume bare soil). B) Review the SMAP mission and write a report. ¾ HW#8 (Due 3rd^ week) – Comprehensive report on the Dartmouth Flood Observatory in terms of the applications. ¾ HW#9 (Due 5th^ week) – Provide Landsat and SRTM overpasses with water/land mask. Ask students to use programming/GIS to 1) plot elevation versus river reach 2) derive water slope 3) use IWM bathymetry and Manning’s equation to derive discharge. ¾ HW#10 (Due 6th week) – GPCP rainfall data download and visualization ¾ Cover the following lecture in two classes (18 hours).
SPECIFIC APPLICATIONS
A. REMOTE SENSING OF SOIL MOISTURE (HW#7)
¾ Why is soil moisture important? Review the EOS paper by Shafiqul Islam and Ted Engman. Discuss the challenges of getting soil moisture estimates globally. Why is in-situ soil moisture hard. Talk about non-destructive method (TDR).
Why Bother for 0.0001% of Earth's Water: Challenges and Opportunities in Soil Moisture Research," 77(43) (1996): 420 , EOS -Transactions of the American Geophysical Union. (with Engman, T.)
¾ Get your soil moisture class project report and associated paper. Give it to class. Go over the equations (Fresnel equations for TB and Ulaby’s formula for dielectric constant). Go over the model carefully. Dig up ppts if any from UConn remote sensing class. ¾ Get class to write program to simulate Tb for various conditions/configurations. ¾ Go over SMAP mission briefly.
B. REMOTE SENSING OF DISCHARGE USING SAR INTEROMETRY (HW#8 and HW#9)
¾ Review the SWOT mission (present the ‘SWOT Mission.ppt’ to class ¾ Go over how interferometry –elevation, bathymetry and Manning’s equation can give Q. Show the example you did for Brahmaputra river. ¾ Class will have to redo the exercise.
C. REMOTE SENSING OF PRECIPITATION (GPCP) (HW#9) ¾ Overview the GPCP project, website. Get CEE6440 notes and the homework. ¾ Show them how to access data. Assign HW#9 – visualization of global patterns (comparison with TRMM climatologic rainfall map) and calculation of anomaly. Extra credit for performing in-situ validation.