[GRASS-SVN] r65675 - grass/branches/releasebranch_7_0/scripts/i.tasscap
svn_grass at osgeo.org
svn_grass at osgeo.org
Mon Jul 20 01:00:45 PDT 2015
Author: lucadelu
Date: 2015-07-20 01:00:44 -0700 (Mon, 20 Jul 2015)
New Revision: 65675
Modified:
grass/branches/releasebranch_7_0/scripts/i.tasscap/i.tasscap.py
Log:
update PEP8, thanks Nikos Alexandris r2690
Modified: grass/branches/releasebranch_7_0/scripts/i.tasscap/i.tasscap.py
===================================================================
--- grass/branches/releasebranch_7_0/scripts/i.tasscap/i.tasscap.py 2015-07-20 07:57:13 UTC (rev 65674)
+++ grass/branches/releasebranch_7_0/scripts/i.tasscap/i.tasscap.py 2015-07-20 08:00:44 UTC (rev 65675)
@@ -1,5 +1,5 @@
#!/usr/bin/env python
-#
+
############################################################################
#
# MODULE: i.tasscap
@@ -24,7 +24,7 @@
# LANDSAT-7:
# TASSCAP factors cited from:
# DERIVATION OF A TASSELED CAP TRANSFORMATION BASED ON LANDSAT 7 AT-SATELLITE REFLECTANCE
-# Chengquan Huang, Bruce Wylie, Limin Yang, Collin Homer and Gregory Zylstra Raytheon ITSS,
+# Chengquan Huang, Bruce Wylie, Limin Yang, Collin Homer and Gregory Zylstra Raytheon ITSS,
# USGS EROS Data Center Sioux Falls, SD 57198, USA
# http://landcover.usgs.gov/pdf/tasseled.pdf
#
@@ -33,17 +33,17 @@
# http://adis.cesnet.cz/cgi-bin/lwgate/IMAGRS-L/archives/imagrs-l.log0211/date/article-14.html
#
# Landsat8: Baig, M.H.A., Zhang, L., Shuai, T., Tong, Q., 2014. Derivation of a tasselled cap transformation
-# based on Landsat 8 at-satellite reflectance. Remote Sensing Letters 5, 423-431.
+# based on Landsat 8 at-satellite reflectance. Remote Sensing Letters 5, 423-431.
# doi:10.1080/2150704X.2014.915434
#
# MODIS Tasselled Cap coefficients
# https://gis.stackexchange.com/questions/116107/tasseled-cap-transformation-on-modis-in-grass/116110
-# Ref: Lobser & Cohen (2007). MODIS tasselled cap: land cover characteristics
+# Ref: Lobser & Cohen (2007). MODIS tasselled cap: land cover characteristics
# expressed through transformed MODIS data.
# International Journal of Remote Sensing, Volume 28(22), Table 3
#
#############################################################################
-#
+
#%Module
#% description: Performs Tasseled Cap (Kauth Thomas) transformation.
#% keyword: imagery
@@ -52,12 +52,15 @@
#% keyword: MODIS
#% keyword: Tasseled Cap transformation
#%end
+
#%option G_OPT_R_INPUTS
#% description: For Landsat4-7: bands 1, 2, 3, 4, 5, 7; for Landsat8: bands 2, 3, 4, 5, 6, 7; for MODIS: bands 1, 2, 3, 4, 5, 6, 7
#%end
+
#%option G_OPT_R_BASENAME_OUTPUT
#% label: Name for output basename raster map(s)
#%end
+
#%option
#% key: sensor
#% type: string
@@ -72,52 +75,78 @@
# weights for 6 Landsat bands: TM4, TM5, TM7, OLI
# MODIS: Red, NIR1, Blue, Green, NIR2, SWIR1, SWIR2
-parms = [[( 0.3037, 0.2793, 0.4743, 0.5585, 0.5082, 0.1863), # Landsat TM4
- (-0.2848,-0.2435,-0.5435, 0.7243, 0.0840,-0.1800),
- ( 0.1509, 0.1973, 0.3279, 0.3406,-0.7112,-0.4572)],
- [( 0.2909, 0.2493, 0.4806, 0.5568, 0.4438, 0.1706, 10.3695), # Landsat TM5
- (-0.2728,-0.2174,-0.5508, 0.7221, 0.0733,-0.1648, -0.7310),
- ( 0.1446, 0.1761, 0.3322, 0.3396,-0.6210,-0.4186, -3.3828),
- ( 0.8461,-0.0731,-0.4640,-0.0032,-0.0492,-0.0119, 0.7879)],
- [( 0.3561, 0.3972, 0.3904, 0.6966, 0.2286, 0.1596), # Landsat TM7
- (-0.3344,-0.3544,-0.4556, 0.6966,-0.0242,-0.2630),
- ( 0.2626, 0.2141, 0.0926, 0.0656,-0.7629,-0.5388),
- ( 0.0805,-0.0498, 0.1950,-0.1327, 0.5752,-0.7775)],
- [( 0.3029, 0.2786, 0.4733, 0.5599, 0.5080, 0.1872), # Landsat TM8
- (-0.2941,-0.2430,-0.5424, 0.7276, 0.0713,-0.1608),
- ( 0.1511, 0.1973, 0.3283, 0.3407,-0.7117,-0.4559),
- (-0.8239, 0.0849, 0.4396, -0.058, 0.2013,-0.2773)],
- [( 0.4395, 0.5945, 0.2460, 0.3918, 0.3506, 0.2136, 0.2678), # MODIS
- (-0.4064, 0.5129,-0.2744,-0.2893, 0.4882,-0.0036,-0.4169),
- ( 0.1147, 0.2489, 0.2408, 0.3132,-0.3122,-0.6416,-0.5087)]]
-#satellite information
-satellites = ["landsat4_tm", 'landsat5_tm', 'landsat7_etm', 'landsat8_oli', 'modis']
-used_bands = [6,6,6,6,7]
-#components information
+parms = [[(0.3037, 0.2793, 0.4743, 0.5585, 0.5082, 0.1863), # Landsat TM4
+ (-0.2848, -0.2435, -0.5435, 0.7243, 0.0840, -0.1800),
+ (0.1509, 0.1973, 0.3279, 0.3406, -0.7112, -0.4572)],
+ [(0.2909, 0.2493, 0.4806, 0.5568, 0.4438, 0.1706, 10.3695), # Landsat TM5
+ (-0.2728, -0.2174, -0.5508, 0.7221, 0.0733, -0.1648, -0.7310),
+ (0.1446, 0.1761, 0.3322, 0.3396, -0.6210, -0.4186, -3.3828),
+ (0.8461, -0.0731, -0.4640, -0.0032, -0.0492, -0.0119, 0.7879)],
+ [(0.3561, 0.3972, 0.3904, 0.6966, 0.2286, 0.1596), # Landsat TM7
+ (-0.3344, -0.3544, -0.4556, 0.6966, -0.0242, -0.2630),
+ (0.2626, 0.2141, 0.0926, 0.0656, -0.7629, -0.5388),
+ (0.0805, -0.0498, 0.1950, -0.1327, 0.5752, -0.7775)],
+ [(0.3029, 0.2786, 0.4733, 0.5599, 0.5080, 0.1872), # Landsat OLI
+ (-0.2941, -0.2430, -0.5424, 0.7276, 0.0713, -0.1608),
+ (0.1511, 0.1973, 0.3283, 0.3407, -0.7117, -0.4559),
+ (-0.8239, 0.0849, 0.4396, -0.0580, 0.2013, -0.2773)],
+ [(0.4395, 0.5945, 0.2460, 0.3918, 0.3506, 0.2136, 0.2678), # MODIS
+ (-0.4064, 0.5129, -0.2744, -0.2893, 0.4882, -0.0036, -0.4169),
+ (0.1147, 0.2489, 0.2408, 0.3132, -0.3122, -0.6416, -0.5087)]]
+
+
+# satellite information
+satellites = ['landsat4_tm', 'landsat5_tm', 'landsat7_etm', 'landsat8_oli',
+ 'modis']
+used_bands = [6, 6, 6, 6, 7]
+
+# components information
ordinals = ["first", "second", "third", "fourth"]
names = ["Brightness", "Greenness", "Wetness", "Haze"]
-def calc1bands6(out, bands, k1, k2, k3, k4, k5, k6, k0 = 0):
- grass.mapcalc("$out = $k1 * $in1band + $k2 * $in2band + $k3 * $in3band + $k4 * $in4band + $k5 * $in5band + $k6 * $in6band + $k0",
- out = out, k1 = k1, k2 = k2, k3 = k3, k4 = k4, k5 = k5, k6 = k6, k0 = k0, **bands)
+def calc1bands6(out, bands, k1, k2, k3, k4, k5, k6, k0=0):
+ """
+ Tasseled cap transformation equation for Landsat bands
+ """
+ equation = ('$out = $k1 * $in1band + $k2 * $in2band + $k3 * $in3band + '
+ '$k4 * $in4band + $k5 * $in5band + $k6 * $in6band + $k0')
+ grass.mapcalc(equation, out=out, k1=k1, k2=k2, k3=k3, k4=k4, k5=k5,
+ k6=k6, k0=k0, **bands)
+
+
def calc1bands7(out, bands, k1, k2, k3, k4, k5, k6, k7):
- grass.mapcalc("$out = $k1 * $in1band + $k2 * $in2band + $k3 * $in3band + $k4 * $in4band + $k5 * $in5band + $k6 * $in6band + $k7 * $in7band",
- out = out, k1 = k1, k2 = k2, k3 = k3, k4 = k4, k5 = k5, k6 = k6, k7 = k7, **bands)
+ """
+ Tasseled cap transformation equation for MODIS bands
+ """
+ equation = ('$out = $k1 * $in1band + $k2 * $in2band + $k3 * $in3band + '
+ '$k4 * $in4band + $k5 * $in5band + $k6 * $in6band + $k7 * '
+ '$in7band')
+ grass.mapcalc(equation, out=out, k1=k1, k2=k2, k3=k3, k4=k4, k5=k5, k6=k6,
+ k7=k7, **bands)
+
def calcN(outpre, bands, satel):
- i=satellites.index(satel)
- grass.message(_("Satellite %s...") % satel)
+ """
+ Calculating Tasseled Cap components
+ """
+ i = satellites.index(satel)
+ grass.message(_("Satellite %s...") % satel)
+
for j, p in enumerate(parms[i]):
out = "%s.%d" % (outpre, j + 1)
ord = ordinals[j]
- name = " (%s)" % names[j]
- grass.message(_("Calculating %s TC component %s%s ...") % (ord, out, name))
- bands_num=used_bands[i]
- eval("calc1bands%d(out, bands, *p)" % bands_num) #use combination function suitable for used number of bands
- grass.run_command('r.colors', map = out, color = 'grey', quiet=True)
+ name = " (%s)" % names[j]
+ message = "Calculating {ordinal} TC component {outprefix}{outname} ..."
+ message = message.format(ordinal=ord, outprefix=out, outname=name)
+ grass.message(_(message))
+ bands_num = used_bands[i]
+ # use combination function suitable for used number of bands
+ eval("calc1bands%d(out, bands, *p)" % bands_num)
+ grass.run_command('r.colors', map=out, color='grey', quiet=True)
+
def main():
options, flags = grass.parser()
satellite = options['sensor']
@@ -128,16 +157,18 @@
grass.fatal(_("The number of input raster maps (bands) should be %s") % num_of_bands)
bands = {}
- for i, band in enumerate(inputs):
- band_num = i + 1
+ for i, band in enumerate(inputs):
+ band_num = i + 1
bands['in' + str(band_num) + 'band'] = band
grass.debug(1, bands)
- calcN(output_basename, bands, satellite) #core tasseled cap components computation
+ # core tasseled cap components computation
+ calcN(output_basename, bands, satellite)
- #assign "Data Description" field in all four component maps
+ # assign "Data Description" field in all four component maps
for i, comp in enumerate(names):
- grass.run_command('r.support', map = "%s.%d" % (output_basename, i+1), description = "Tasseled Cap %d: %s" % (i+1, comp))
+ grass.run_command('r.support', map="%s.%d" % (output_basename, i+1),
+ description="Tasseled Cap %d: %s" % (i+1, comp))
grass.message(_("Tasseled Cap components calculated"))
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