User Manual - pancroma

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For Landsat 7 data sets, the NIR band4 will be displayed for point selection asthe default. The NIR band often works better is because the excessive Rayleighscattering exhibited by the blue band can obscure surface details to such anextent that pixel selection is difficult. Let’s say that we are interested inmeasuring the snow pack coverage for the subsetted region in the image. Snowpack measurements are often needed in order to estimate the amount of runoff inthe spring and to determine the water supply potential for down gradient areas.We can estimate the coverage using the PSG, followed by using the LandsatSpectral Analyzer TM (see following section).We first start by opening either six Landsat visible and infrared multispectral bandfiles, or alternatively the six multispectral bands plus the thermal infrared (TIR)band 6. That is, either open bands 1,2,3,4,5 and 7 or alternatively bands 1, 2, 3,4, 5, 6 and 7 by selecting ‘File’ | ‘Open’ as usual. Next select ‘Spectral Analysis’ |‘Landsat Point Spectrum Generator’ | ‘Six/Seven DN Bands’. When you do so aband selection screen will be displayed. Note that there are two radio buttonslabeled ‘Display Single Band’ and ‘Display Color Composite’. This allows thechoice of using either a single multispectral band for point selection or acomposite of three bands. For this exercise select ‘Display Single Band’. Thecolor composite option will be explained at the end of the section.IMPORTANT NOTE: Using the TIR band may give additional discriminatingpower to your analysis. If you decide to use the TIR band, you may have topreprocess it before doing so. Some Landsat TIR files are archived the samesize as the multispectral band files. However most are archived as 57 or 60mresolution files, i.e. half the resolution of the multispectral bands. In addition,there are usually two TIR band files with suffixes 61a and 61b. These are thehigh gain and low gain versions of the data. If you choose to use the TIR band,you will be prompted to tell PANCROMA which type of file you are processing bychecking a radio button on the TOA Reflectance Form.In order to use a TIR band at half resolution, you must first expand andinterpolate it up to 27.5 or 30m resolution. This can be done using the utilitydescribed in the Preprocessing Section. Once the scale is adjusted, it can beused to generate a Point Spectrum.When PANCROMA TM processes the TIR band, it will divide the computedtemperature in degrees Kelvin by a factor of 1000. This scales the temperaturedata so that it is of the same order of magnitude as the TOA reflectance data.You can select the multispectral band that you want to be displayed for pointselection by checking the appropriate radio button.221
When you click ‘OK’, the selected band image will be displayed, along with thePoint Spectrum Data Entry Form, as shown below.222
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1. What Is PANCROMA TM ? ..........
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Compute Single Histogram...........
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67. Tutorial - Pan Sharpening Full
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2. What Useful Things Can PANCROMA
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4. PANCROMA TM Features____________
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5. System Requirements_____________
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7. Getting Started_________________
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Each color and NIR band channel con
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determine if one number is differen
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will be shown at the bottom of the
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12. File I/O_______________________
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13. System Variables_______________
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14. Display________________________
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15. The PANCROMA User Interface____
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not find this file , you will be pr
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If you check the ‘Generate Graysc
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19. Image Subsetting_______________
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IMPORTANT NOTE: There is a check bo
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IMPORTANT NOTE: Saving and opening
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When the Input Box becomes visible,
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20. Batch Subsetting_______________
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21. Quick Start - Pan Sharpening an
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During the internal processing of t
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is unlikely that the settings will
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The default method is checked. The
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around 4000 rows by 4000 columns. I
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the ‘Pan Sharpening Pre Processin
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lowerLimit upperLimitThe following
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Another type of unwanted artifact i
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matching algorithm to be applied. T
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25. ENHG Algorithm - Manual Method_
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The next image is the result of pan
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26. ENHG Algorithm - Automatic Meth
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Next, compute the XIONG file. Open
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The XIONG algorithm is one of the m
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29. AJISANE Algorithm______________
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An example of a pan sharpened image
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The spectral match is indicated by
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You must be careful when selecting
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31. ELIN Local Optimization Algorit
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IMPORTANT NOTE: Regions of high con
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Add the green band and the red band
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33. Pan Sharpen Batch File Processi
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34. Working with SPOT® Data_______
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the special image processing utilit
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35. Working with ASTER Data________
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36. Working with Formosat-2 Data___
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100
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ALI data is similar to Landsat with
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38. Working with Digital Globe® Da
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spectral transmission of the telesc
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ow. Make sure you check this before
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40. Working with Landsat Surface Re
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41. Working with Landsat GEOCOVER D
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foreground and background applicati
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GEOCOVER can offer a very attractiv
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After navigation and selecting your
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Although not designed as a data sou
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44. Working with USGS DOQQ and NAPP
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46. Working with MODIS Surface Refl
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47. Working with RapidEye Data_____
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The Transfer method processes the f
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using the PANCROMA TM ‘Preprocess
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and band 5 (MIR) also be input. Thi
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134
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50. Automatic Image Registration of
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The next two images are the registe
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At the present time, PANCROMA TM ca
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Since only a portion of EMR reachin
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144
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‘File’ | ‘Open’. After your
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Haze reduction may be useful in con
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Save your image using GeoTiff file
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The correction is made according to
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54. Image Processing Utilities - Gr
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Input Channel Adjust Group Utility
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55. Image Processing Utilities - SP
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56. Image Processing Utilities - AS
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57. Image Processing Utilities - Pa
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Channel Level AdjustPANCROMA TM pro
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ENHG Scale FactorThe ENHG slider ba
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59. Image Preprocessing____________
Page 171 and 172: select ‘File’ | ‘Open’ and
Page 173 and 174: Analyzer. Doubling is done by first
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Page 177 and 178: There are a few rules of thumb rega
Page 179 and 180: You will need three control points
Page 181 and 182: • image resampling• geometric m
Page 183 and 184: ROWS groupsFirst row of dataSecond
Page 185 and 186: Where QCAL are the calibrated image
Page 187 and 188: When you select ‘OK’ the surfac
Page 189 and 190: The rendering below shows a color t
Page 191 and 192: Q cal = Quantized and calibrated st
Page 193 and 194: A section of a SPOT metadata file s
Page 195 and 196: Temperature (measured in degrees Ke
Page 197 and 198: Calibration requires multiplication
Page 199 and 200: NIR band, band 2 (green) and band 3
Page 201 and 202: and 1 (Brightness, a measure of soi
Page 203 and 204: X-Y Band Scatter PlotsA scatter plo
Page 205 and 206: presented. Check the ‘Compute Lin
Page 207 and 208: PANCROMA TM has a utility for regre
Page 209 and 210: 60. Image Post Processing__________
Page 211 and 212: You can adjust weighting factors fo
Page 213 and 214: Unsupervised ClassificationUnsuperv
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Page 217 and 218: Grayscale and Color Image TilingIt
Page 219 and 220: GeoreferencingPANCROMA TM has a uti
Page 221: 61. Spectral Analysis______________
Page 225 and 226: The plot shows all of the computed
Page 227 and 228: PANCROMA TM computed that the cover
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Page 231 and 232: SPOT ® Point Spectrum Generator TM
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Page 235 and 236: When the ‘Zoom Disabled’ radio
Page 237 and 238: Digital spectra are recorded for mi
Page 239 and 240: The next step is to overlay the Lan
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Page 243 and 244: Although the run was not successful
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Page 247 and 248: Now select ‘Spectral Analysis’
Page 249 and 250: RapidEye ® Spectral Analyzer TMSpe
Page 251 and 252: Click ‘OK’. The TOA Reflectance
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Page 257 and 258: Euclidean Distance Fraction TM Anal
Page 259 and 260: The idea is to adjust the included
Page 261 and 262: In addition to Landsat 7, Spectral
Page 263 and 264: Low numbers mean high discriminatio
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Page 267 and 268: Note that the band 6 (TIR) track ba
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this does not correspond to physica
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L71005068_06820030919_B10.TIFL71005
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L71005068_06820040804_B50.TIFL71005
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The parameters are as follows:Compu
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Object Oriented ClassificationPANCR
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to the other. For example a filter
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carefully. PANCROMA TM is able to p
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Landsat imageImage magnitude spectr
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Considerable smoothing has occurred
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IMPORTANT NOTE: In reality, the con
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The following is an example of an i
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In order to deconvolve using fixed
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63. Writing an Index File for an SR
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It will be saved as a .dat file. A
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64. Processing Huge Files and File
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My area of interest for this image
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306
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Now we will start the pan sharpenin
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66. Tutorial - Pan Sharpened Image
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The next step will be to create an
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The panchromatic image is the one i
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And my result looked like this:As y
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67. Tutorial - Pan Sharpening Full
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68. Tutorial - Gap Filling using Tr
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You can use the 'Max Cloud' drop do
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'Enter' and the Adjust file will be
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PANCROMA TM does the rest after tha
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70. Tutorial - Gap Filling using Ha
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Another reason to keep the Search E
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Gap Filled Grayscale ImageGap Fille
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When you do so a batch processing d
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The images below show subsets taken
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340
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It is also apparent that the graysc
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73. Tutorial - Six File TERAS Batch
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common areas of both scenes. See th
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348
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Use the checked image processing ut
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IssuesAlthough the gap filling proc
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76. Tutorial - Pan Sharpening Lands
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77. Tutorial - Image Processing Wor
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From Next PageSection 13Subset One
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I again selected ‘Close Graphic I
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I then selected ‘Pan Sharpening
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the vegetation tones are still norm
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Reduction’ and then ‘Apply Cont
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acquired during different seasons o
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This image is better than the Trans
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I also prepared an image using the
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Full sized Landsat scenes can be pr
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78. Tutorial - Improving Image Qual
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The following image is the RGB colo
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Press ‘OK’. The transformed gra
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However it is close enough to illus
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The second image is a straightforwa
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It is also possible to combine the
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80. Pan Sharpened Image: Landsat Mo
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82. Pan Sharpened Image: Landsat De
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88. Pan Sharpened Image: EO-1 Mount
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Multiple Linear Regression, 205Mult
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