# Difference between revisions of "AddOns/GRASS 7/imagery"

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--> old, merged into {{cmd|i.pansharpen|version=70}} | --> old, merged into {{cmd|i.pansharpen|version=70}} | ||

==== i.fusion.hpf ==== | |||

{{AddonSrc|imagery|i.fusion.hpf|version=7}} Fusing high resolution Panchromatic and low resolution Multi-Spectral data based on the High-Pass Filter Addition technique (Gangkofner, 2008) | |||

: Author: Nikos Alexandris | |||

==== i.gravity ==== | ==== i.gravity ==== |

## Revision as of 04:49, 14 August 2016

**GRASS GIS 7 Addons Manual pages - a complete overview of available Addons**- Browse the Svn add-ons code in the Trac system
- For addon installation, simply use g.extension
- Source code download: get all addons from the svn repository with:

svn co https://svn.osgeo.org/grass/grass-addons/grass7/imagery/

#### i.destripe

i.destripe (src) destripes in a row-based Fourier smoothing way. Requires a near vertical striping for best effect.

- Author: Yann Chemin

#### i.eb.h_sebal95

i.eb.hsebal95 (src) Sensible heat flux modeling following Bastiaanssen (1995, 1998) method.

- Author: Yann Chemin

#### i.eb.z0m

...

#### i.edge

i.edge (src) is an edge detector based on the Canny algorithm ....

#### i.evapo.potrad

i.evapo.potrad (src) Potential evapotranspiration using astronomical equations (full radiative energy from sun is converted to ET)

- Author: Yann Chemin

#### i.evapo.senay

i.evapo.senay (src) Senay (2001) used ET Penman-Montieth (1972, see i.evapo.pm) along with a LST based fraction for ET modeling, also referred as SSEB.

- Author: Yann Chemin

#### i.evapo.zk

i.evapo.zk (src) Biome based Global Evapotranspiration modelling after Zhang and Kimball (2010?)

- Author: Yann Chemin

#### i.feotio2

...

#### i.fusion.brovey

--> old, merged into i.pansharpen

#### i.fusion.hpf

i.fusion.hpf (src) Fusing high resolution Panchromatic and low resolution Multi-Spectral data based on the High-Pass Filter Addition technique (Gangkofner, 2008)

- Author: Nikos Alexandris

#### i.gravity

i.gravity (src) calculates the Bouguer gravity anomaly (after Mussett and Khan).

- Author: Yann Chemin

#### i.histo.match

i.histo.match (src) performs histogram matching on the given input images.

**Authors:**Laura Zampa (PERL version), rewritten and updated by Luca Delucchi, Italy

#### i.landsat8.swlst

i.landsat8.swlst (src) Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery.

- Author: Nikos Alexandris

#### i.lmf

i.lmf (src) Local Maximum fitting, maximizes temporal/spectral information using Akaike Information Content, and overall smoothes the output in the spectral/temporal dimension.

- Author: Yann Chemin

#### i.nightlights.intercalibration

i.nightlights.intercalibration (src) performs inter-satellite calibration on DMSP-OLS nighttime lights time series

- Author: Nikos Alexandris

#### i.points.auto

...

#### i.pr

...

#### i.rotate

i.rotate (src) calculates an arbitrary rotation of the image from the center of the computing window (not finished)

- Author: Yann Chemin

#### i.segment.gsoc

--> old, improved version moved into GRASS 7 trunk as i.segment

#### i.segment.hierarchical

i.segment.hierarchical (src) performs a hierarchical segmentation on an image (group). The module uses internally i.segment

#### i.segment.stats

i.segment.stats (src) calculates statistics describing raster area.

#### i.spec.sam

i.spec.sam (src): Spectral Angle Mapping, depends upon libmeschach(-dev).

- In Ubuntu: 'sudo apt-get install libmeschach-dev' will do the job.

- Authors: Markus Neteler (GRASS 5 version), updated to GRASS 7: Yann

#### i.spec.unmix

i.spec.unmix (src): Spectral unmixing

- Authors: Markus Neteler (GRASS 5 version), updated to GRASS 7: Mohammed Rashad

#### i.theilsen

i.theilsen (src) robust spectral/temporal trend estimator after Theil-Sen work.

- Author: Yann Chemin

#### i.vi.mpi

i.vi.mpi (src) is a learning module to study MPI C-extension distributed computing language.

#### i.wavelet

i.wavelet (src) decomposes the time-series with the requested wavelet. The output will have 4 components, High-Pass Level 1 and 2, Low-Pass Level 1 and 2. Low Pass Level 1 can be recomposed using HP2 and LP2 using the recomposition mode. This module is designed to make a temporal fusion from multi-sources.