Image processing - Revision history

⚠️Ychemin: /* Satellite Data */

2023-12-02T05:02:25Z

Satellite Data

← Older revision		Revision as of 05:02, 2 December 2023
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	* [http://www.digitalglobe.com/sites/default/files/DigitalGlobe_Spectral_Response_1.pdf Spectral Response specifications for IKONOS, GeoEye, QuickBird, WorldView]		* [http://www.digitalglobe.com/sites/default/files/DigitalGlobe_Spectral_Response_1.pdf Spectral Response specifications for IKONOS, GeoEye, QuickBird, WorldView]
	* various [http://apollomapping.com/about-us/whitepapers Whitepapers] on High Resolution Satellite Imagery		* various [http://apollomapping.com/about-us/whitepapers Whitepapers] on High Resolution Satellite Imagery

			==== Hyperspectral Data ====

			* [[AVIRIS]]
			* [[Hyperion]]

	=== Orthophotos ===		=== Orthophotos ===

⚠️Ychemin: /* Biomass indices */

2023-11-18T05:21:41Z

Biomass indices

← Older revision		Revision as of 05:21, 18 November 2023
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	* {{AddonCmd\|i.wi}}: Calculates different types of water indices (addon)		* {{AddonCmd\|i.wi}}: Calculates different types of water indices (addon)

	== Biomass ~~indices~~ ==		== Biomass growth ==
	* {{cmd\|i.biomass}}		* {{cmd\|i.biomass}}: The biomass growth computes the daily increment of biomass from vegetation, with an optional Harvest Index applied (i.e. if not = 1.0, then it is considering the final grain proportion at the end of the season). By repeatedly computing the biomass growth, with or without Harvest Index, for the whole period of the crop development on the field with several satellite images, we can do a temporal integration of the biomass growth, or the yield (using the Harvest Index != 1.0) for a given crop of interest. By using a set of temporal masks on a large map, and varying the temporal integration periods, as well as the Harvest Indices by crop type, we can estimate several crop types yields in one processing.

	== Evapotranspiration ==		== Evapotranspiration ==

Neteler: various updates

2020-02-12T15:45:00Z

various updates

← Older revision		Revision as of 15:45, 12 February 2020
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	* see [[Importing data]]		* see [[Importing data]]

			=== Imagery groups ===

			A multi-band image may be grouped with {{cmd\|i.group}} (some commands actually require the input being defined as a imagery group rather than a list of map names).

	== Preprocessing ==		== Preprocessing ==
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	See [http://www.fp.ucalgary.ca/mhallbey/texture_calculations.htm here] and [http://murphylab.web.cmu.edu/publications/boland/boland_node26.html here] for the formulas to calculate texture. See also [http://wiki.landscapetoolbox.org/doku.php/remote_sensing_methods:canopy_texture_mapping canopy texture mapping].		See [http://www.fp.ucalgary.ca/mhallbey/texture_calculations.htm here] and [http://murphylab.web.cmu.edu/publications/boland/boland_node26.html here] for the formulas to calculate texture. See also [http://wiki.landscapetoolbox.org/doku.php/remote_sensing_methods:canopy_texture_mapping canopy texture mapping].

			== Tasseled cap ==

			* {{cmd\|i.tasscap}} - performs Tasseled Cap (Kauth Thomas) transformation, resulting in 'Brightness' Tasseled Cap component 1, 'Greenness' Tasseled Cap component 2, 'Greenness' Tasseled Cap component 2, 'Wetness' Tasseled Cap component 3, and 'Atmospheric haze' Tasseled Cap component 4.

	== Spectral unmixing ==		== Spectral unmixing ==

	* {{AddonCmd\|i.spec.unmix}} is used to perform "Spectral Unmixing"		* {{AddonCmd\|i.spec.unmix}} is used to perform "Spectral Unmixing"
			* {{cmd\|i.spectral}} - displays spectral response at user specified locations in group or images.

			=== Spectral unmixing ideas for processing hyperspectral image data ===

			* Make use of the [http://spectralpython.sourceforge.net/ Spectral Python] (SPy) which is a pure Python module for processing hyperspectral image data

			=== Spectral angle mapping ===

	* {{AddonCmd\|i.spec.sam}} is used to perform "Spectral Angle Mapping"		* {{AddonCmd\|i.spec.sam}} is used to perform "Spectral Angle Mapping"

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	Image fusion and Pansharpening:		Image fusion and Pansharpening:
			* {{cmd\|i.fusion.hpf}} is fusing high resolution panchromatic and low resolution multi-spectral data based on the High-Pass Filter Addition technique (Gangkofner, 2008).
	* {{cmd\|i.pansharpen}}: Image fusion algorithms to sharpen multispectral with high-res panchromatic channels		* {{cmd\|i.pansharpen}}: Image fusion algorithms to sharpen multispectral with high-res panchromatic channels
	* {{cmd\|i.rgb.his}} and {{cmd\|i.his.rgb}}: can be used for image fusion		* {{cmd\|i.rgb.his}} and {{cmd\|i.his.rgb}}: can be used for image fusion

	Segmentation:		Segmentation:
			* {{cmd\|i.segment}}: Identifies segments (objects) from imagery data
			* {{AddonCmd\|i.superpixels.slic}} performs image segmentation using the SLIC segmentation method. (Addons)
	* {{AddonCmd\|r.smooth.seg}} which performs image segmentation and discontinuity detection (based on the Mumford-Shah variational model). The module generates a piece-wise smooth approximation of the input raster map and a raster map of the discontinuities of the output approximation. The discontinuities of the output approximation are preserved from being smoothed. (Addons)		* {{AddonCmd\|r.smooth.seg}} which performs image segmentation and discontinuity detection (based on the Mumford-Shah variational model). The module generates a piece-wise smooth approximation of the input raster map and a raster map of the discontinuities of the output approximation. The discontinuities of the output approximation are preserved from being smoothed. (Addons)
	* {{cmd\|i.segment}}: Identifies segments (objects) from imagery data (GRASS 7)

	=== Optimal channel selection for color composites ===		=== Optimal channel selection for color composites ===
	* {{cmd\|i.oif}}		* {{cmd\|i.oif}}: Calculates Optimum-Index-Factor table for spectral bands

	== Vegetation indices ==		== Vegetation indices ==
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	* The main library is written in plain C and the transformation functions are a plain C conversion of the methods found in the QGIS (www.qgis.org) Georeferencer Plugin (projective and Helmert transformations) and Olivier Dalang's "worldfile transform" (https://gist.github.com/olivierdalang/ba97fc986ade4545068d).		* The main library is written in plain C and the transformation functions are a plain C conversion of the methods found in the QGIS (www.qgis.org) Georeferencer Plugin (projective and Helmert transformations) and Olivier Dalang's "worldfile transform" (https://gist.github.com/olivierdalang/ba97fc986ade4545068d).
	* author: B Ducke		* author: B Ducke

	~~=== Spectral unmixing ideas for processing hyperspectral image data ===~~

	* Make use of the [http://spectralpython.sourceforge.net/ Spectral Python] (SPy) which is a pure Python module for processing hyperspectral image data

	~~=== Spectral angle mapping ideas ===~~

	* {{AddonCmd\|i.spec.sam}}

	=== Geocoding ideas ===		=== Geocoding ideas ===
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	=== Lidar LAS format ===		=== Lidar LAS format ===

	~~LAS Tools by M. Isenburg, Howard Butler et al.: http://www.liblas.org~~

	~~las2txt \| r.in.xyz in=- fs=" "~~

	''Update:'' {{cmd\|r.in.lidar}} and {{cmd\|v.in.lidar}} implemented by Markus Metz (GRASS 7), but las2txt is still useful for added control such as filtering or importing secondary data streams such as intensity.

	(see [[LIDAR]])		(see [[LIDAR]])

Neteler: remove hardcoded version specific urls, use latest version

2018-12-04T10:20:41Z

remove hardcoded version specific urls, use latest version

← Older revision		Revision as of 10:20, 4 December 2018
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	las2txt \| r.in.xyz in=- fs=" "		las2txt \| r.in.xyz in=- fs=" "

	''Update:'' {{cmd\|r.in.lidar~~\|version=70~~}} and {{cmd\|v.in.lidar~~\|version=70~~}} implemented by Markus Metz (GRASS 7), but las2txt is still useful for added control such as filtering or importing secondary data streams such as intensity.		''Update:'' {{cmd\|r.in.lidar}} and {{cmd\|v.in.lidar}} implemented by Markus Metz (GRASS 7), but las2txt is still useful for added control such as filtering or importing secondary data streams such as intensity.

	(see [[LIDAR]])		(see [[LIDAR]])

Neteler: /* Evapotranspiration */

2018-11-06T06:43:29Z

Evapotranspiration

← Older revision		Revision as of 06:43, 6 November 2018
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	== Evapotranspiration ==		== Evapotranspiration ==

	* i.eb.* and i.evapo.* are modules dedicated to evapotranspiration, see {{cmd\|topic_evapotranspiration~~.html~~}}		* i.eb.* and i.evapo.* are modules dedicated to evapotranspiration, see {{cmd\|topic_evapotranspiration}}

	Please look at [[Image_processing/Evapotranspiration]] for some background information.		Please look at [[Image_processing/Evapotranspiration]] for some background information.

Neteler: use {{cmd|imageryintro}} macro

2018-11-06T06:41:15Z

use {{cmd|imageryintro}} macro

← Older revision		Revision as of 06:41, 6 November 2018
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	== Introduction ==		== Introduction ==

	For a general overview, see ~~[http://grass.osgeo.org/grass72/manuals/imageryintro.html~~ Introduction: image processing] in GRASS GIS		For a general overview, see "Introduction: image processing in GRASS GIS" at {{cmd\|imageryintro}}.

	=== General introduction ===		=== General introduction ===
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	== Evapotranspiration ==		== Evapotranspiration ==

	* i.eb.* and i.evapo.* are modules dedicated to evapotranspiration, see ~~https://grass.osgeo.org/grass72/manuals/~~topic_evapotranspiration.html		* i.eb.* and i.evapo.* are modules dedicated to evapotranspiration, see {{cmd\|topic_evapotranspiration.html}}

	Please look at [[Image_processing/Evapotranspiration]] for some background information.		Please look at [[Image_processing/Evapotranspiration]] for some background information.

Neteler: /* Spectral unmixing */ URLs updated

2017-07-03T08:17:22Z

Spectral unmixing: URLs updated

← Older revision		Revision as of 08:17, 3 July 2017
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	== Spectral unmixing ==		== Spectral unmixing ==

	* {{AddonCmd\|i.spec.unmix}} is used to perform Spectral Unmixing ~~([https://svn.osgeo.org/grass/grass-addons/grass6/imagery/i.spec.unmix/description.html manual])~~		* {{AddonCmd\|i.spec.unmix}} is used to perform "Spectral Unmixing"
	* {{~~AddonSrc\|imagery~~\|i.spec.~~unmix\|version=7~~}}~~: version for GRASS GIS 7 (manual: {{addonCmd\|i.spec.unmix}})~~		* {{AddonCmd\|i.spec.sam}} is used to perform "Spectral Angle Mapping"

	== Thermal remote sensing ==		== Thermal remote sensing ==

⚠️Mlennert at 20:18, 18 February 2017

2017-02-18T20:18:27Z

← Older revision		Revision as of 20:18, 18 February 2017
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	== Edge detection ==		== Edge detection ==
	* {{cmd\|i.zc}: Zero-crossing edge detector		* {{cmd\|i.zc}}: Zero-crossing edge detector
	* {{AddonCmd\|i.edge}}: Canny edge detector (addon)		* {{AddonCmd\|i.edge}}: Canny edge detector (addon)

⚠️Mlennert: added i.zc to list of edge detection modules

2017-02-18T20:17:53Z

added i.zc to list of edge detection modules

← Older revision		Revision as of 20:17, 18 February 2017
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	== Edge detection ==		== Edge detection ==
			* {{cmd\|i.zc}: Zero-crossing edge detector
	* {{AddonCmd\|i.edge}}: Canny edge detector (addon)		* {{AddonCmd\|i.edge}}: Canny edge detector (addon)

Neteler: various updates

2017-02-13T15:07:18Z

various updates

← Older revision		Revision as of 15:07, 13 February 2017
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	== Introduction ==		== Introduction ==

	For a general overview, see [http://grass.osgeo.org/~~grass70~~/manuals/imageryintro.html ~~Introductiojn~~: image processing] in GRASS GIS		For a general overview, see [http://grass.osgeo.org/grass72/manuals/imageryintro.html Introduction: image processing] in GRASS GIS

	=== General introduction ===		=== General introduction ===
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	* {{cmd\|i.landsat.toar}} - Calculates top-of-atmosphere radiance or reflectance and temperature for Landsat MSS/TM/ETM+/OLI		* {{cmd\|i.landsat.toar}} - Calculates top-of-atmosphere radiance or reflectance and temperature for Landsat MSS/TM/ETM+/OLI
	* {{AddonSrc\|imagery\|i.landsat8.swlst\|version=7}} Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery		* {{AddonSrc\|imagery\|i.landsat8.swlst\|version=7}} Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
	* {{cmd\|i.aster.toar~~\|version=70~~}} - Calculates top-of-atmosphere radiance or reflectance and temperature for ASTER		* {{cmd\|i.aster.toar}} - Calculates top-of-atmosphere radiance or reflectance and temperature for ASTER
	* [[MODIS#Advanced_MODIS_LST_time_series_reconstruction\|MODIS]]		* [[MODIS#Advanced_MODIS_LST_time_series_reconstruction\|MODIS]]

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	=== Radiometric Enhancements ===		=== Radiometric Enhancements ===
	* {{cmd\|i.landsat.rgb}} (GRASS 6.x) \| {{cmd\|i.colors.enhance~~\|version=70~~}} (GRASS 7.x)		* {{cmd\|i.landsat.rgb}} (GRASS 6.x) \| {{cmd\|i.colors.enhance}} (GRASS 7.x)
	* Decorrelation stretching with {{cmd\|r.colors}} or {{cmd\|r.mapcalc}}		* Decorrelation stretching with {{cmd\|r.colors}} or {{cmd\|r.mapcalc}}
	* Density slicing with {{cmd\|r.colors}}		* Density slicing with {{cmd\|r.colors}}
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	Image fusion and Pansharpening:		Image fusion and Pansharpening:
			* {{cmd\|i.pansharpen}}: Image fusion algorithms to sharpen multispectral with high-res panchromatic channels
	* {{cmd\|i.rgb.his}} and {{cmd\|i.his.rgb}}: can be used for image fusion		* {{cmd\|i.rgb.his}} and {{cmd\|i.his.rgb}}: can be used for image fusion
	* {{cmd\|i.fusion.brovey}}: image fusion of pan-chromatic and color channels
	* {{cmd\|i.pansharpen\|version=70}}: Image fusion algorithms to sharpen multispectral with high-res panchromatic channels (GRASS 7)

	Segmentation:		Segmentation:
	* {{AddonCmd\|r.smooth.seg}} which performs image segmentation and discontinuity detection (based on the Mumford-Shah variational model). The module generates a piece-wise smooth approximation of the input raster map and a raster map of the discontinuities of the output approximation. The discontinuities of the output approximation are preserved from being smoothed. (Addons)		* {{AddonCmd\|r.smooth.seg}} which performs image segmentation and discontinuity detection (based on the Mumford-Shah variational model). The module generates a piece-wise smooth approximation of the input raster map and a raster map of the discontinuities of the output approximation. The discontinuities of the output approximation are preserved from being smoothed. (Addons)
	* {{cmd\|i.segment~~\|version=70~~}}: Identifies segments (objects) from imagery data (GRASS 7)		* {{cmd\|i.segment}}: Identifies segments (objects) from imagery data (GRASS 7)

	=== Optimal channel selection for color composites ===		=== Optimal channel selection for color composites ===
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	== Vegetation indices ==		== Vegetation indices ==

	* {{cmd\|r.mapcalc}} can be used to calculate vegetation indices		* {{cmd\|i.vi}}: various vegetation indices
	* ~~In GRASS GIS 7, see also~~ {{~~cmd~~\|i.~~vi\|version=70~~}}		* {{cmd\|r.mapcalc}} can be used to calculate uncommon vegetation indices
	* ~~Search this wiki for NDVI (see top right search field)~~
			== Water indices ==
			* {{AddonCmd\|i.wi}}: Calculates different types of water indices (addon)

			== Biomass indices ==
			* {{cmd\|i.biomass}}

	== Evapotranspiration ==		== Evapotranspiration ==

	* ~~In GRASS GIS 7,~~ i.eb.* and i.evapo.* are modules dedicated to evapotranspiration		* i.eb.* and i.evapo.* are modules dedicated to evapotranspiration, see https://grass.osgeo.org/grass72/manuals/topic_evapotranspiration.html

	Please look at [[Image_processing/Evapotranspiration]] for some background information.		Please look at [[Image_processing/Evapotranspiration]] for some background information.
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	https://svn.code.sf.net/p/gvsigce/code/trunk/libraries/libCTL/		https://svn.code.sf.net/p/gvsigce/code/trunk/libraries/libCTL/

	* requires GNU ~~Scienfic~~ Library for the matrix algebra		* requires GNU Scientific Library for the matrix algebra
	* It is a small library that provides a handful of transformation methods from source to target (2D) coordinates. Currently, this includes affine, Helmert and projective transformations in 2D.		* It is a small library that provides a handful of transformation methods from source to target (2D) coordinates. Currently, this includes affine, Helmert and projective transformations in 2D.
	* The main library is written in plain C and the transformation functions are a plain C conversion of the methods found in the QGIS (www.qgis.org) Georeferencer Plugin (projective and Helmert transformations) and Olivier Dalang's "worldfile transform" (https://gist.github.com/olivierdalang/ba97fc986ade4545068d).		* The main library is written in plain C and the transformation functions are a plain C conversion of the methods found in the QGIS (www.qgis.org) Georeferencer Plugin (projective and Helmert transformations) and Olivier Dalang's "worldfile transform" (https://gist.github.com/olivierdalang/ba97fc986ade4545068d).