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DIAG.sml: - Related:
 FAQs by Jack C (pdf) - Mapping Dense Vegetation and Bare Soils
- Requires that a matching Mask Raster (MK) exist (to define area of interest that contains bare soil and dense vegetation).
- Takes SRFI rasters and PVI & PVI and produces a set of Diagnostic Rasters (DBL, DGL, ...).
- Input may have been produced by SRFI.sml or by TERCOR.sml.
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DIAG.sml
 Mapping Dense Vegetation and Bare Soils
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FILTER_WATERMASK.sml: - Related: FAQs by Jack G (pdf)
- Utility script to optionally improve the quality of the WATERMASK raster produced and used by WATER.sml.
- Requires a WATERMASK raster produced by a previous run of WATER.sml.
- Allows you to refine the separation between land and water to produce a better water-enhanced composite image.
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FILTER_WATERMASK.sml
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GRUVI.sml: |
GRUVI.sml
Mapping Vegetation/Soil Biophysical Properties
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OBJECT.sml: - Related: FAQs by Jack H (pdf)
- Object Finding in Grayscale Images
- This script produces three output products:
1. A georeferenced Edge-Probability (EP) raster,
2. A set of georeferenced vector Scene-Object Polygons (SOPs), and
3. A text report. - This script uses a single input raster; possibly a SRFI raster for a particular spectral band, such as SRFINA. Better yet, a Rin raster could be a Tasseled Cap (TC) raster from TASCAP.sml, e.g., TC Greenness.
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OBJECT.sml
Object Finding in Grayscale Images
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REPAIR_IMAGE.sml: - Requires knowing the imager source.
- Fixes imagery that uses "0" for both brightness and fill pixels
- Output is another set of image data (BL, GL, ... MC).
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REPAIR_IMAGE.sml
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SRFI.sml: - Related: FAQs by Jack B and FAQs by Jack A (pdf)
- Calibrate Satellite Images to Surface Reflectance
- Processes source imagery data to produce SRFI rasters and pair of PVI and PBI rasters (plus SRFI.txt, a processing report).
- Requires knowing the imager source, the collection date, the processing date, and solar elevation angle. Defaults may be otherwise taken. But recommend HEP=20 for QB, and HEP=500 for Landsat 7 -- not much effect on results.
- Input may be output rasters from REPAIR_IMAGE.sml
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SRFI.sml
Calibrating Multispectral Satellite Images
Calibrate Satellite Images to Surface Reflectance
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TASCAP.sml: - Related: FAQs by Jack F (pdf)
- Generalized Mapping of Biophysical Properties
- Requires SRFI-scaled multispectral image bands (4 to 9 spectral bands).
- Computes pre-defined or customized measures of biophysical properties using the Tasseled Cap transformation.
- Outputs: a set of Tasseled Cap biophysical measure rasters plus accompanying spectral distance rasters.
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TASCAP.sml
Generalized Mapping of Biophysical Properties
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TERCOR.sml: - Related: FAQs by Jack D (pdf)
- Correct for Terrain Induced Radiance Effects
- Requires SRFI rasters and PVI and PBI pair.
- Requires knowing the image source.
- Requires the existence of a SHADING raster (made by TNTmips Slope, Aspect, Shading process).
- Output is a set of terrain-slope-aspect-corrected SRFI rasters plus a related PVI & PBI pair.
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TERCOR.sml
Correct for Terrain Induced Radiance Effects
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WATER.sml: - Related: FAQs by Jack G (pdf)
- Color-Enhance Satellite Images of Coastal Areas
- Earth Imaging Journal: "Deep Water Ahead: Using Satellite Imagery for Underwater Mapping"
Mapping submerged water features with satellite imagery requires an approach that differs from land mapping.
http://www.eijournal.com/Deep_Water.asp - Performs specialized color enhancements for multispectral images of coastal areas, with separate treatment of shallow-water and land areas.
- Requires a set of four SRFI rasters (from SRFI.sml), namely, SRIFBL, SRIFGL, SRFIRL, and SRFINA).
- Combines an enhanced natural-color image of shallow-water areas with a choice of land image: natural color, color-infrared, or grayscale.
- Outputs: an IMAGE raster (24-bit color) that can be exported to an external format (e.g. GeoTIFF) for distribution as a value-added products.
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WATER.sml
Color-Enhance Satellite Images of Coastal Areas
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