User Manual - pancroma

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45. Working with VITO SPOT Vegetation Data________________________________________________________________The Flemish Institute for Technological Research (VITO) recently has launched adistribution portal for accessing SPOT vegetation data, which offers free accessto all vegetation data (P-, global S1 and S10 data) older than three months. Youcan access the portal at http://www.vito-eodata.be/PANCROMA TM can import SPOT Vegetation data in HDF format. You can openyou SPOT HDF data file one at a time. Do this by selecting ‘ASTER L1B, SPOTVEG HDF’ from the File Type drop down box and clicking on your SPOT scene.Next select ‘Display Files’ | ‘Display Single Grayscale Image’ from thePANCROMA TM menu. Band spectral characteristics are given in the table below.Spectral Band WavelengthB0 (Blue) 0.43-0.47B2 (Red) 0.61-0.68B3 ( NIR) 0.78-0.89MIR (SWIR) 1.58-1.75123
46. Working with MODIS Surface Reflectance Data________________________________________________________________PANCROMA TM can import MODIS surface reflectance data designatedMOD09/MYD09 - Surface Reflectance; Atmospheric Correction AlgorithmProducts from both the Terra or Aqua satellites. The MODIS surface reflectanceproducts are generated from the first two, or seven, bands of the correspondingfull 36 band scenes. These provide estimated “at surface” spectral reflectancevalues. Algorithms are applied to the MODIS bands to remove the effects ofcirrus clouds, water vapor, aerosols and atmospheric gases. Global surfacereflectance products can be obtained at either 250 m or 500 m spatial resolution,and as daily or 8-day composite images. The seven multispectral bands arecentered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm,respectively, red, NIR, blue, green, NIR, NIR, NIR). Details of the surfacereflectance products are as follows:MOD09GQ/MYD09GQ - MODIS Surface Reflectance Daily L2G Global 250mThis product has a spatial resolution of 250 m and contains two bands of spectraldata centered at 645 nm and 858 nm.MOD09GA/MYD09GA - MODIS Surface Reflectance Daily L2G Global 500mThis product has a spatial resolution of 500 m and contains seven bands ofspectral dataMOD09Q1/MYD09Q1 - MODIS Surface Reflectance 8-Day L3 Global 250mThis product is a composite using eight consecutive daily 250m images. The bestobservation during each eight day period, for every cell in the image, is retained.This helps reduce or eliminate clouds from a scene. The file contains the samespectral information as the daily file listed above, centered at 645 nm and 858nm. There is one additional band of data for quality control.MOD09A1/MYD09A1 - MODIS Surface Reflectance 8-Day L3 Global 500mThis file is a composite using eight consecutive daily 500 m images. Again, thebest observation during each eight day period, for every cell in the image, isretained. This helps reduce or eliminate clouds from a scene. The file containsthe same seven spectral bands of data as the daily file listed above.To access the data, open your MODIS HDF data file. Do this by selecting‘ASTER L1B, SPOT VEG HDF, MODIS 250m, MODIS 500m’ from the File Typedrop down box and then clicking on your MODIS scene. Then select ‘DisplayFiles’ | ‘Display Single Grayscale Band Image’. When the MODIS BandSelection Form becomes visible, select your desired band. Clicking ‘OK’ willrender the band, which you can save in GeoTiff, JPEG or other format.124
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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
Page 74 and 75: The XIONG algorithm is one of the m
Page 76 and 77: 29. AJISANE Algorithm______________
Page 78 and 79: An example of a pan sharpened image
Page 80 and 81: The spectral match is indicated by
Page 82 and 83: You must be careful when selecting
Page 84: 31. ELIN Local Optimization Algorit
Page 87 and 88: IMPORTANT NOTE: Regions of high con
Page 89 and 90: Add the green band and the red band
Page 91 and 92: 33. Pan Sharpen Batch File Processi
Page 93 and 94: 34. Working with SPOT® Data_______
Page 95 and 96: the special image processing utilit
Page 97 and 98: 35. Working with ASTER Data________
Page 99 and 100: 36. Working with Formosat-2 Data___
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Page 103 and 104: ALI data is similar to Landsat with
Page 105 and 106: 38. Working with Digital Globe® Da
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Page 113 and 114: 41. Working with Landsat GEOCOVER D
Page 115 and 116: foreground and background applicati
Page 117 and 118: GEOCOVER can offer a very attractiv
Page 119 and 120: After navigation and selecting your
Page 121 and 122: Although not designed as a data sou
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Page 127 and 128: 47. Working with RapidEye Data_____
Page 129 and 130: The Transfer method processes the f
Page 131 and 132: using the PANCROMA TM ‘Preprocess
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Page 137 and 138: 50. Automatic Image Registration of
Page 139 and 140: The next two images are the registe
Page 141 and 142: At the present time, PANCROMA TM ca
Page 143 and 144: Since only a portion of EMR reachin
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Page 147 and 148: ‘File’ | ‘Open’. After your
Page 149 and 150: Haze reduction may be useful in con
Page 151 and 152: Save your image using GeoTiff file
Page 153 and 154: The correction is made according to
Page 155 and 156: 54. Image Processing Utilities - Gr
Page 157 and 158: Input Channel Adjust Group Utility
Page 159 and 160: 55. Image Processing Utilities - SP
Page 161 and 162: 56. Image Processing Utilities - AS
Page 163 and 164: 57. Image Processing Utilities - Pa
Page 165 and 166: Channel Level AdjustPANCROMA TM pro
Page 167 and 168: ENHG Scale FactorThe ENHG slider ba
Page 169 and 170: 59. Image Preprocessing____________
Page 171 and 172: select ‘File’ | ‘Open’ and
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high pixel brightness in one image
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There are a few rules of thumb rega
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You will need three control points
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• image resampling• geometric m
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ROWS groupsFirst row of dataSecond
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Where QCAL are the calibrated image
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When you select ‘OK’ the surfac
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The rendering below shows a color t
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Q cal = Quantized and calibrated st
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A section of a SPOT metadata file s
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Temperature (measured in degrees Ke
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Calibration requires multiplication
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NIR band, band 2 (green) and band 3
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and 1 (Brightness, a measure of soi
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X-Y Band Scatter PlotsA scatter plo
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presented. Check the ‘Compute Lin
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PANCROMA TM has a utility for regre
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60. Image Post Processing__________
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You can adjust weighting factors fo
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Unsupervised ClassificationUnsuperv
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214
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Grayscale and Color Image TilingIt
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GeoreferencingPANCROMA TM has a uti
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61. Spectral Analysis______________
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When you click ‘OK’, the select
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The plot shows all of the computed
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PANCROMA TM computed that the cover
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Landsat Reflectance Point Spectrum
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SPOT ® Point Spectrum Generator TM
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will become disabled and the Color
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When the ‘Zoom Disabled’ radio
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Digital spectra are recorded for mi
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The next step is to overlay the Lan
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http://www.science.aster.ersdac.or.
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Although the run was not successful
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The pan sharpened image was created
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Now select ‘Spectral Analysis’
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RapidEye ® Spectral Analyzer TMSpe
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Click ‘OK’. The TOA Reflectance
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The second plot is shown below, dis
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have to rationalize the file sizes.
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Euclidean Distance Fraction TM Anal
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The idea is to adjust the included
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In addition to Landsat 7, Spectral
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Low numbers mean high discriminatio
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Copyright USGSAlthough this data is
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Note that the band 6 (TIR) track ba
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higher (whiter) the grayscale pixel
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The table with the manually input r
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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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278
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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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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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