User Manual - pancroma

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and files. To do this you must open the file by selecting ‘File’ | ‘Open’. You willbe prompted for an output file base name. PANCROMA will append the bandnumber to the base file name. Now select Display Files’ | ‘Display SingleGrayscale Image’ | ‘Display Six File Landsat Reflectance Bundle’.PANCROMA TM will open the file and extract the six multispectral reflectancebands, saving them as described above.Characteristics of Landsat Reflectance data are shown in the following tables.Science Data Sets Units Bit Type Fill Valid Range Scale factorBand1 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band2 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band3 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band4 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band5 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band7 Surface Reflectance Reflectance 16-bit signed integer -9999 -2000,16000 0.0001Band6 TOA Temperature Celsius 16-bit signed integer -9999 -7000, 7000 0.01Atmospheric Opacity of band1 16-bit signed integer -9999 -2000,16000 0.0001Landsat SR QA 16-bit signed integer -1 0, 32767 N/AQuality FlagsBit 0Bit 1Bit 2Bit 3Bit 4Bit 5Bit 6-15DescriptionUnusedData Quality flag (0=Valid data, 1=Invalid data)Cloud mask (0=clear, 1=cloudy)Cloud shadow maskSnow baskLand mask (0= water, 1=land)Unused111
41. Working with Landsat GEOCOVER Data________________________________________________________________In August of 1998, NASA first produced positionally accurate GEOCOVERorthorectified Landsat imagery covering the majority of the Earth's land mass.The Landsat scenes used to create the GEOCOVER-Ortho products were handselected to provide the lowest cloud cover and highest quality data possible.GEOCOVER combined the best available horizontal and vertical control withdetailed manually measured tie points between adjacent imagery to create ahighly accurate spatial relationship between the raw Landsat imagery and thesurface of the Earth resulting in a positional accuracy of 50 meters root meansquare (RMS).The GEOCOVER 2000 worldwide set of satellite imagery from the Landsat 7Enhanced Thematic Mapper (ETM+) represents NASA’s latest effort. The ETM+30m multi-spectral bands 2, 4, and 7 were pan sharpened with the 15mpanchromatic band. These Landsat images were then ortho-rectified,georferenced, and projected in UTM WGS84.The GEOCOVER data set has several attractive features:• The images were selected to have exceptionally low cloud cover in mostcases• The orthorectification and georeferencing are of exceptionally high quality,making them very suitable for mapping work• The images are already pan sharpened to 15m resolution• Landsat band 2 (green) band 4 (near infrared) and band 7 (mediuminfrared) are less susceptible to atmospheric scattering than the visiblelight bands 1, 2 and 3 (blue, green, red) resulting in virtually haze-freeimages• The images are stretched so that their dynamic range fully spans the 256available digital number (DN) levels.One possible drawback for some applications is the image color. GEOCOVERimages display with unnatural vegetation, water and earth tones because of theselected bands as shown in the image below. Modifying these tones to makethem appear more natural preserves all of the benefits of GEOCOVER whilemitigating this drawback. PANCROMA TM has utilities for making such spectraltransformations.112
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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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Page 64 and 65: matching algorithm to be applied. T
Page 66 and 67: 25. ENHG Algorithm - Manual Method_
Page 68 and 69: The next image is the result of pan
Page 70 and 71: 26. ENHG Algorithm - Automatic Meth
Page 72 and 73: 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 119 and 120: After navigation and selecting your
Page 121 and 122: Although not designed as a data sou
Page 123 and 124: 44. Working with USGS DOQQ and NAPP
Page 125 and 126: 46. Working with MODIS Surface Refl
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
Page 133 and 134: and band 5 (MIR) also be input. Thi
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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
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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
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Page 161 and 162: 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____________
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select ‘File’ | ‘Open’ and
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Analyzer. Doubling is done by first
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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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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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326
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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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