AVIRIS - Revision history

⚠️Wenzeslaus: Replace source tag with syntaxhighlight according to the automatically linked category https://grasswiki.osgeo.org/wiki/Category:Pages_using_deprecated_source_tags

2023-12-21T22:01:58Z

Replace source tag with syntaxhighlight according to the automatically linked category https://grasswiki.osgeo.org/wiki/Category:Pages_using_deprecated_source_tags

← Older revision		Revision as of 22:01, 21 December 2023
Line 50:		Line 50:
	The DN to Radiance correction is done by applying a gain to the stored data in the BSQ file. In this case, the gain file in ''f180116t01p00r07rdn_e.gain''. Extracting the gain values can be done like this in Python:		The DN to Radiance correction is done by applying a gain to the stored data in the BSQ file. In this case, the gain file in ''f180116t01p00r07rdn_e.gain''. Extracting the gain values can be done like this in Python:

	<~~source~~ lang="python">		<syntaxhighlight lang="python">
	gain = []		gain = []
	with open(AVIRISDir+"rdn_e/"+AVIRISDir+"rdn_e.gain") as file:		with open(AVIRISDir+"rdn_e/"+AVIRISDir+"rdn_e.gain") as file:
	for line in file:		for line in file:
	gain.append(line.strip().split()[0])		gain.append(line.strip().split()[0])
	</~~source~~>		</syntaxhighlight>

	After that, the DN to Radiance correction can be done like this:		After that, the DN to Radiance correction can be done like this:

	<~~source~~ lang="python">		<syntaxhighlight lang="python">
	# define GRASS-Python environment		# define GRASS-Python environment
	os.environ['GISBASE'] = "/usr/local/grass84"		os.environ['GISBASE'] = "/usr/local/grass84"
Line 77:		Line 77:
	rmapcalc(expression=exp, overwrite=OVR, quiet=QUIET)		rmapcalc(expression=exp, overwrite=OVR, quiet=QUIET)
	rmapcalc.wait()		rmapcalc.wait()
	</~~source~~>		</syntaxhighlight>

	=== Import in GRASS, gain correction (DN2Rad) & atmospheric correction (Rad2Ref) ===		=== Import in GRASS, gain correction (DN2Rad) & atmospheric correction (Rad2Ref) ===
	<~~source~~ lang="python">		<syntaxhighlight lang="python">
	#!/usr/bin/env python		#!/usr/bin/env python
	"""		"""
Line 353:		Line 353:
	routgdal(input=b_out, output=AVIRISDir+"_"+b_out+".tif", overwrite=OVR, quiet=QUIET)		routgdal(input=b_out, output=AVIRISDir+"_"+b_out+".tif", overwrite=OVR, quiet=QUIET)
	satbandno = satbandno + 1		satbandno = satbandno + 1
	</~~source~~>		</syntaxhighlight>

⚠️Ychemin: /* AVIRIS Hyperspectral Sensor */

2023-12-02T06:13:14Z

AVIRIS Hyperspectral Sensor

← Older revision		Revision as of 06:13, 2 December 2023
Line 1:		Line 1:
	== AVIRIS Hyperspectral Sensor ==		== AVIRIS Hyperspectral Sensor ==
	[[aviris_text2.png]]		[[File:aviris_text2.png]]
	=== Introduction ===		=== Introduction ===
	'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).		'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).

⚠️Ychemin: /* AVIRIS Hyperspectral Sensor */

2023-12-02T06:12:46Z

AVIRIS Hyperspectral Sensor

← Older revision		Revision as of 06:12, 2 December 2023
Line 1:		Line 1:
	== AVIRIS Hyperspectral Sensor ==		== AVIRIS Hyperspectral Sensor ==
	[[~~AVIRIS_text2~~.png]]		[[aviris_text2.png]]
	=== Introduction ===		=== Introduction ===
	'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).		'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).

⚠️Ychemin: /* AVIRIS Hyperspectral Sensor */

2023-12-02T06:11:42Z

AVIRIS Hyperspectral Sensor

← Older revision		Revision as of 06:11, 2 December 2023
Line 1:		Line 1:
	== AVIRIS Hyperspectral Sensor ==		== AVIRIS Hyperspectral Sensor ==
			[[AVIRIS_text2.png]]
	=== Introduction ===		=== Introduction ===
	'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).		'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).

⚠️Ychemin at 06:08, 2 December 2023

2023-12-02T06:08:18Z

← Older revision		Revision as of 06:08, 2 December 2023
Line 1:		Line 1:
	== AVIRIS Hyperspectral Sensor ==		== AVIRIS Hyperspectral Sensor ==

	=== Introduction ===		=== Introduction ===
	'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).		'''AVIRIS''' is an acronym for the Airborne Visible InfraRed Imaging Spectrometer ([https://aviris.jpl.nasa.gov/ AVIRIS Main page]).

⚠️Ychemin at 06:06, 2 December 2023

2023-12-02T06:06:31Z

← Older revision		Revision as of 06:06, 2 December 2023
Line 78:		Line 78:
	</source>		</source>

	=== ~~Importing script ===~~		=== Import in GRASS, gain correction (DN2Rad) & atmospheric correction (Rad2Ref) ===

	~~=== PyGRASS script to import and atmospherically correct AVIRIS~~ ===
	<source lang="python">		<source lang="python">
	#!/usr/bin/env python		#!/usr/bin/env python

⚠️Ychemin: /* Files of interest */

2023-12-02T06:04:35Z

Files of interest

← Older revision		Revision as of 06:04, 2 December 2023
Line 43:		Line 43:
	* f180116t01p00r07rdn_e.spc		* f180116t01p00r07rdn_e.spc

	~~==== Files of interest ====~~
	All files twinned with a .hdr file, and in italics in the list above, are ENVI style binary imagery datasets (''BSQ format''). Towards the end of the list, the file matching the pattern ''sc01'' is the largest file, and the one holding the actual hyperspectral data.		All files twinned with a .hdr file, and in italics in the list above, are ENVI style binary imagery datasets (''BSQ format''). Towards the end of the list, the file matching the pattern ''sc01'' is the largest file, and the one holding the actual hyperspectral data.

			==== DN to Radiance Conversion ====

	The DN to Radiance correction is done by applying a gain to the stored data in the BSQ file. In this case, the gain file in ''f180116t01p00r07rdn_e.gain''. Extracting the gain values can be done like this in Python:		The DN to Radiance correction is done by applying a gain to the stored data in the BSQ file. In this case, the gain file in ''f180116t01p00r07rdn_e.gain''. Extracting the gain values can be done like this in Python:

⚠️Ychemin: /* Data Downloaded */

2023-12-02T06:02:44Z

Data Downloaded

@@ Line 24: / Line 24: @@
 '''AVIRIS''' is downloaded as a .tar.gz file (i.e. ''f180116t01p00r07.tar.gz'') uncompressing as a directory (i.e. ''f180116t01p00r07rdn_e/'') containing with a set files like this:
 * AVIRIS_OrthoProcessing_Info.txt
 * f180116t01p00r07rdn_e_eph
@@ Line 42: / Line 43: @@
 * f180116t01p00r07rdn_e.spc
 All files twinned with a .hdr file, and in italics in the list above, are ENVI style binary imagery datasets (''BSQ format''). Towards the end of the list, the file matching the pattern ''sc01'' is the largest file, and the one holding the actual hyperspectral data.
 === Importing script ===

⚠️Ychemin: /* Interface to copying maps (g.copy) */

2023-12-02T05:54:42Z

Interface to copying maps (g.copy)

← Older revision		Revision as of 05:54, 2 December 2023
Line 46:		Line 46:
	=== Importing script ===		=== Importing script ===

	=== ~~Interface~~ to ~~copying maps (g.copy)~~ ===		=== PyGRASS script to import and atmospherically correct AVIRIS ===
	<source lang="python">		<source lang="python">
	#!/usr/bin/env python		#!/usr/bin/env python

⚠️Ychemin: /* Import AVIRIS in GRASS */

2023-12-02T05:53:57Z

Import AVIRIS in GRASS

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