i.topo.corr(1)

โœจ i.topo.corr โ€” the glow-up your satellite pics deserve โœจ

okay bestie, welcome to i.topo.corr(1), the GRASS GIS tool that fixes the whole "one side of the mountain is in shadow and looks like a completely different planet" situation ๐Ÿ’… This is the page for i.topo.corr, and honestly? It ate.


๐Ÿท๏ธ NAME

i.topo.corr โ€” Computes topographic correction of reflectance. That's it, that's the job. ๐Ÿซถ


๐Ÿ”‘ KEYWORDS

imagery, terrain, topographic correction


๐Ÿ“œ SYNOPSIS

i.topo.corr
i.topo.corr --help
i.topo.corr [-is]  [input=name[,name,...]]  output=name basemap=name
zenith=float  [azimuth=float]   [method=string]   [--overwrite]
[--help]  [--verbose]  [--quiet]  [--ui]

๐Ÿšฉ Flags

  • -i โ€” Output sun illumination terrain model. like, it makes the light map instead of the corrected map.
  • -s โ€” Scale output to input and copy color rules. matchy-matchy behavior โœจ
  • --overwrite โ€” Allow output files to overwrite existing files. (careful, it will absolutely bulldoze what's already there ๐Ÿ’€)
  • --help โ€” Print usage summary. the classic "help me" button.
  • --verbose โ€” Verbose module output. it will tell you everything.
  • --quiet โ€” Quiet module output. shhh, no talking ๐Ÿคซ
  • --ui โ€” Force launching GUI dialog. for the visual girlies.

๐ŸŽ€ Parameters

  • input=name[,name,...] โ€” Name of reflectance raster maps to be corrected topographically. you can pass a whole list, comma-separated, no cap.
  • output=name [required] โ€” Name (flag -i) or prefix for output raster maps. required, bestie, you can't skip it.
  • basemap=name [required] โ€” Name of input base raster map (elevation or illumination). also required!
  • zenith=float [required] โ€” Solar zenith in degrees. required.
  • azimuth=float โ€” Solar azimuth in degrees (only if flag -i). so only when you're building the illumination model.
  • method=string โ€” Topographic correction method. Options: cosine, minnaert, c-factor, percent Default: c-factor

๐Ÿ’– DESCRIPTION

i.topo.corr is used to topographically correct reflectance from imagery files, e.g. obtained with i.landsat.toar, using a sun illumination terrain model. This illumination model represents the cosine of the incident angle i, i.e. the angle between the normal to the ground and the sun rays. so it's literally describing how much sun a pixel is catching based on how the ground is tilted. iconic.

Note: If needed, the sun position can be calculated for a given date and time with r.sunmask. Figure showing terrain and solar angles

Using the -i flag and given an elevation basemap (metric), i.topo.corr creates a simple illumination model using the formula:

  • cos_i = cos(s) * cos(z) + sin(s) * sin(z) * cos(a - o)

where,

  • i is the incident angle to be calculated,
  • s is the terrain slope angle (from r.slope.aspect),
  • z is the solar zenith angle (i.e., 90ยฐ - solar horizon angle from r.sunmask),
  • a the solar azimuth angle (from r.sunmask),
  • o the terrain aspect angle (from r.slope.aspect).

For each band file, the corrected reflectance (ref_c) is calculate from the original reflectance (ref_o) using one of the four offered methods (one lambertian and two non-lambertian). yes the math said "four" and "two" in the same sentence, we don't question the ancestors, we just run the module ๐ŸŒˆ

๐Ÿงฎ Method: cosine

  • ref_c = ref_o * cos_z / cos_i

๐Ÿงฎ Method: minnaert

  • ref_c = ref_o * (cos_z / cos_i) ^k

where, k is obtained by linear regression of ln(ref_o) = ln(ref_c) - k ln(cos_i/cos_z)

๐Ÿงฎ Method: c-factor

  • ref_c = ref_o * (cos_z + c)/ (cos_i + c)

where, c is a/m from ref_o = a + m * cos_i

๐Ÿงฎ Method: percent

We can use cos_i to estimate the percent of solar incidence on the surface, then the transformation (cos_i + 1)/2 varied from 0 (surface in the side in opposition to the sun: infinite correction) to 1 (direct exhibition to the sun: no correction) and the corrected reflectance can be calculated as

  • ref_c = ref_o * 2 / (cos_i + 1)

๐Ÿ“ NOTES

  1. The illumination model (cos_i) with flag -i uses the actual region as limits and the resolution of the elevation map.
  2. The topographic correction use the full reflectance file (null remain null) and its resolution.
  3. The elevation map to calculate the illumination model should be metric.
๐Ÿšจ note note note: number 3 is not a suggestion, bestie. if your elevation map isn't metric, the vibes are off and so is your math.

๐Ÿงช EXAMPLES

First, make a illumination model from the elevation map (here, SRTM). Then make perform the topographic correction of e.g. the bands toar.5, toar.4 and toar.3 with output as tcor.toar.5, tcor.toar.4, and tcor.toar.3 using c-factor (= c-correction) method:

# first pass: create illumination model
i.topo.corr -i base=SRTM zenith=33.3631 azimuth=59.8897 output=SRTM.illumination
# second pass: apply illumination model
i.topo.corr base=SRTM.illumination input=toar.5,toar.4,toar.3 output=tcor \
  zenith=33.3631 method=c-factor

two passes, one glow-up. periodt. ๐Ÿ’…


๐Ÿ“š REFERENCES

  • Law K.H. and Nichol J, 2004. Topographic Correction For Differential Illumination Effects On Ikonos Satellite Imagery. International Archives of Photogrammetry Remote Sensing and Spatial Information, pp. 641-646.
  • Meyer, P. and Itten, K.I. and Kellenberger, KJ and Sandmeier, S. and Sandmeier, R., 1993. Radiometric corrections of topographically induced effects on Landsat TM data in alpine terrain. Photogrammetric Engineering and Remote Sensing 48(17).
  • Riaรฑo, D. and Chuvieco, E. and Salas, J. and Aguado, I., 2003. Assessment of Different Topographic Corrections in Landsat-TM Data for Mapping Vegetation Types. IEEE Transactions On Geoscience And Remote Sensing, Vol. 41, No. 5
  • Twele A. and Erasmi S, 2005. Evaluating topographic correction algorithms for improved land cover discrimination in mountainous areas of Central Sulawesi. Gรถttinger Geographische Abhandlungen, vol. 113.

๐Ÿ‘€ SEE ALSO

i.landsat.toar, r.mapcalc, r.sun r.sunmask


๐Ÿ‘‘ AUTHOR

E. Jorge Tizado (ej.tizado unileon es) Dept. Biodiversity and Environmental Management, University of Leรณn, Spain

Figure derived from Neteler & Mitasova, 2008.


๐Ÿ’พ SOURCE CODE

Available at: i.topo.corr source code (history)

Accessed: Saturday Jan 17 05:41:44 2026

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and that's the whole page, bestie ๐Ÿฆ‹ this came to you from the GRASS GIS 8.4.2 Reference Manual, ยฉ 2003-2025 GRASS Development Team, running on GRASS 8.4.2 โ€” go correct some reflectance, you've got this ๐Ÿ’–โœจ๐ŸŽ€

๐Ÿ“ฆ where this page comes from