| Environments | PYTHON :: EASI :: MODELER |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details :: Example :: Algorithm :: References :: Related |
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| Name | Type | Caption | Length | Value range |
|---|---|---|---|---|
| FILE * | String | Input file name | 1 - 192 | |
| FILO | String | Output file name | 0 - 192 | |
| DBIC * | Integer | Input raster channel(s) | 2 - 2 | |
| DBOC | Integer | Output raster channel(s) | 0 - 1 | |
| MONITOR | String | Monitor mode | 0 - 3 | ON, OFF Default: ON |
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FILE
Specifies the name of the PCIDSK file that contains the satellite image channels.
FILO
Specifies the name of the PCIDSK file to receive the output SAVI images. If this parameter is not specified, it will default to FILE as the output file.
DBIC
Specifies the image channels in the input file (FILE) that contain atmospherically corrected RED and NIR sensor band reflectance images from ATCOR.
Ranges of channels or segments can be specified with negative values. For example, {1,-4,10} is internally expanded to {1,2,3,4,10}. When you are not specifying a range in this way, only 48 numbers can be specified explicitly.
DBOC
Specifies the output channels to receive the output SAVI image. If the specified output file does not yet exist, the default output channel is 1.
Ranges of channels or segments can be specified with negative values. For example, {1,-4,10} is internally expanded to {1,2,3,4,10}. When you are not specifying a range in this way, only 48 numbers can be specified explicitly.
MONITOR
The program progress can be monitored by printing the percentage of processing completed. A system parameter, MONITOR, controls this activity.
Available options are:
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SAVI calculates the Soil Adjusted Vegetation Index(SAVI) image and stores it in the specified output file.
As input, SAVI requires atmospherically corrected RED and NIR sensor band channels created by ATCOR.
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Use the atmospherically corrected reflectance image corr_essen.pix (Landsat-5 TM) produced by ATCOR to create the Soil Adjusted Vegetation Index(SAVI):
EASI>file = 'corr_essen.pix' ! input file EASI>filo = 'savi_essen.pix' ! output file EASI>dbic = 3,4 ! input Red and NIR channels EASI>dboc = 1 ! output channel EASI>RUN SAVI
The result is Soil Adjusted Vegetation Index (SAVI) image.
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The Atmospheric Correction component was produced by PCI using algorithms developed by DLR, German Aerospace Research Establishment. The algorithms used in the various programs of the component are based on information in the papers listed in the References section.
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F. Lanzl and R. Richter, (DLR, German Aerospace Institute). A Fast Atmospheric Correction Algorithm For Small Swath Angle Satellite Sensors. ICO Topical Meeting on Atmospheric Volume and Surface Scattering and Propagation, Florence, Italy, August 27-30, 1991. pp. 455-458.
R. Richter, (DLR, German Aerospace Institute). Error Bounds Of A Fast Atmospheric Correction Algorithm For The Landsat Thematic Mapper And Multispectral Scanner Bands. Applied Optics 30(30):4412-4417. 1991.
R. Richter, (DLR, German Aerospace Institute). Model SENSAT: A Tool For Evaluating The System Performance Of Optical Sensors. SPIE Propagation Engineering 1312:286-297. 1990.
F.J. Ahern, P.M. Teillet, and D.G. Goodenough, (CCRS). Transformation Of Atmospheric And Solar Illumination Conditions On The CCRS Image Analysis System. 1977 Machine Processing of Remotely Sensed Data Symposium.
R. Richter, (DLR, German Aerospace Research Establishment). A Fast Atmospheric Correction Algorithm Applied To Landsat TM Images. Int. J. Remote Sensing 11(1):159-166. 1990.
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