Lab Instructions Lab 7, due 5:30 am Oct 30, 2007 EES5053/ES4093: Remote Sensing, UTSA Student Name: ___________________ Calculate Temperature from ETM+ Image Purpose In this lab, you will get a sense about IDL. You will use IDL to compute the temperature of a Landsat image, and analyze the distribution of temperature. Part I: Concepts and short questions: 1. summarize the similarities and differences between real aperture radar and synthetic aperture radar as detail as possible (not necessary just from the lecture notes) 2. explain the similarities and differences between reflectivity and radar backscatter 3. explain backscatter coefficient and parameters affecting it. You may refer to this website for a better and detailed explanation: http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses/Radar_C ourse_III/parameters_affecting.htm. 4. give two active radar systems and explain them in detail (in terms of wavelengths or frequencies, resolution, repeatability, launched time, application, etc.) Part II: 1. Preparation: (1). Copy the data directory Lab7 in the server (\\129.115.25.240\XIE_misc\Fall2007-RS\ to c:\Fall2007-RS\YourName\ 2. Introduction As you learned, landsat ETM+ image has 9 bands, band 1-3 is visible bands, 4-5 and 7 is near and short wave infrared band, band 8 is panchromatic band, band 6 and band 9 is thermal band. Band 6 is low gain thermal band and band 9 is high gain image. *.H2 is the header file of thermal bands. These two thermal bands are what we need to derive the temperature of land surface. You can check the difference of these two images by linking them or performing the 1 statistics. The DN is actually different. You are required to compare the difference of brightness/surface temperature in this lab. The image you will work on is p027r040, acquired on March 21, 2003. Open image LE7027040000308050.H2 in ENVI. Band 1 is the band 6 (low gain) of the ETM+ image, and band 2 is band 9 (high gain) of the image. Display band 2 using gray scale. 3. Calculate the temperature using IDL Equations (4) to (6) are used to covert the DN to Radiance, then Radiance to brightness temperature, and finally compute the surface temperature from brightness temperature. Detail information about the equations are included in the article: LST.pdf (Weng et al. 2004) in your Lab 7 folder. If you are interested in, you should read this paper in more detail and you should be able to do a class project using this topic as well. In this code, we only use a single emissivity of 0.988. If you want to do a completed project, you should use the method from the paper. Click IDL, and go to File -> New -> Editor. Copy this code below to your IDL (similar as figure 1) and saved as temper.pro, or directly open the temper.pro in your Lab7 folder into IDL. PRO temper ; calculate temperature of an Landsat image envi_select, title='Choose multispectral image', fid=fid, dims=dims, pos=pos if (fid EQ -1) THEN BEGIN PRINT, 'cancelled' RETURN ENDIF num_cols=dims[2]-dims[1]+1 num_rows=dims[4]-dims[3]+1 ;num_bands=n_elements(pos) 2 ;num_pixels=num_cols*num_rows image=envi_get_data(fid=fid, dims=dims, pos=pos[0]) ;pos[0] is the first band, pos[1] the second band, ... L=temporary(0.0370588*image+3.2) ;calculate radiance of high gain image ;L=temporary(0.066823*image) ;calculate radiance of low gain image TB=temporary(1282.71/(alog((666.09/L)+1))) ;calculate brightness temperature RT=temporary(TB/(1+(0.0007991666*TB)*alog(0.988))) ;supposing the same emissivity of 0.988 envi_enter_data, RT END Then compile it and run it. The Choose multispectral image window of ENVI will appear. Click the Spectral Subset, you will see a window as below. Check the 6H (high gain image). Then the resulting temperature image of high gain will be 3 appeared as Memory 1 in the Available Band List window of ENVI. You may save this memory image as a real image. Open this image, the pixel values are temperature and unit is in Kelvin. In order to do the low gain image, what you need to do is to change this L=temporary(0.0370588*image+3.2) ;calculate radiance of high gain image ;L=temporary(0.066823*image) ;calculate radiance of low gain image To ; L=temporary(0.0370588*image+3.2) ;calculate radiance of high gain image L=temporary(0.066823*image) ;calculate radiance of low gain image Then select the 6L (low gain) image as input. The resulting temperature image will be appeared as Memory 2 in the Available Band List window of ENVI. Questions (1): Compare the DN difference of low gain (band 1) and high gain (band2). (10 points). Questions (2): Compare the Temperature difference of low gain and high gain. (10 points). Questions (3): Analyze the distribution and variability of the Temperature (high gain) for the entire image area. To assistant your analysis, you may use the multispectral (visible and near infrared) false color or true color image. You should be able to download the image from TexasView website or directly click http://data.crgsc.org/sensor/l7/p027/r040/y2003/d080/nlaps/. Download the .H1, .I1, I2, I3, I4, I5, I7. You can then open the H1 in ENVI, which will open the Band 1,2,3,4,5,7 as one image file. A road center line vector file provided in the folder can also help you to familiarize yourself the locations. (80 points). 4 Use histogram, statistics, density slice, link with false color display of different bands composition, and others to analyze the distribution and variability of temperature for the entire area. For example, do you see any heat island in the downtown San Antonio area in this time of year (March)? 5