section 1 · User commands 💻

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H (continued)

I

  • i-a(1)convert binary short integers to ASCII✨
  • i-d(1)convert 16-bit short integers to doubles✨
  • i-f(1)convert 16-bit short integers to floats✨
  • i-ls(1)display file stat and checksum information for files✨
  • i-viewdb(1)view the information stored in integrit databases✨
  • i.albedo(1)Computes broad band albedo from surface reflectance.✨
  • i.albedo(1grass)Computes broad band albedo from surface reflectance.✨
  • i.aster.toar(1)Calculates Top of Atmosphere Radiance/Reflectance/Brightness Temperature from ASTER DN.✨
  • i.aster.toar(1grass)Calculates Top of Atmosphere Radiance/Reflectance/Brightness Temperature from ASTER DN.✨
  • i.atcorr(1)Performs atmospheric correction using the 6S algorithm. 6S - Second Simulation of Satellite Signal in the Solar Spectrum.✨
  • i.atcorr(1grass)Performs atmospheric correction using the 6S algorithm. 6S - Second Simulation of Satellite Signal in the Solar Spectrum.✨
  • i.band.library(1)Prints available semantic label information used for multispectral data.✨
  • i.band.library(1grass)Prints available semantic label information used for multispectral data.✨
  • i.biomass(1)Computes biomass growth, precursor of crop yield calculation.✨
  • i.biomass(1grass)Computes biomass growth, precursor of crop yield calculation.✨
  • i.cca(1)Canonical components analysis (CCA) program for image processing.✨
  • i.cca(1grass)Canonical components analysis (CCA) program for image processing.✨
  • i.cluster(1)Generates spectral signatures for land cover types in an image using a clustering algorithm. The resulting signature file is used as input for i.maxlik, to generate an unsupervised image…✨
  • i.cluster(1grass)Generates spectral signatures for land cover types in an image using a clustering algorithm. The resulting signature file is used as input for i.maxlik, to generate an unsupervised image…✨
  • i.colors.enhance(1)Performs auto-balancing of colors for RGB images.✨
  • i.colors.enhance(1grass)Performs auto-balancing of colors for RGB images.✨
  • i.eb.eta(1)Actual evapotranspiration for diurnal period (Bastiaanssen, 1995).✨
  • i.eb.eta(1grass)Actual evapotranspiration for diurnal period (Bastiaanssen, 1995).✨
  • i.eb.evapfr(1)Computes evaporative fraction and root zone soil moisture.✨
  • i.eb.evapfr(1grass)Computes evaporative fraction and root zone soil moisture.✨
  • i.eb.hsebal01(1)Computes sensible heat flux iteration SEBAL 01.✨
  • i.eb.hsebal01(1grass)Computes sensible heat flux iteration SEBAL 01.✨
  • i.eb.netrad(1)Net radiation approximation (Bastiaanssen, 1995).✨
  • i.eb.netrad(1grass)Net radiation approximation (Bastiaanssen, 1995).✨
  • i.eb.soilheatflux(1)Soil heat flux approximation (Bastiaanssen, 1995).✨
  • i.eb.soilheatflux(1grass)Soil heat flux approximation (Bastiaanssen, 1995).✨
  • i.emissivity(1)Computes emissivity from NDVI, generic method for sparse land.✨
  • i.emissivity(1grass)Computes emissivity from NDVI, generic method for sparse land.✨
  • i.evapo.mh(1)Computes evapotranspiration calculation modified or original Hargreaves formulation, 2001.✨
  • i.evapo.mh(1grass)Computes evapotranspiration calculation modified or original Hargreaves formulation, 2001.✨
  • i.evapo.pm(1)Computes potential evapotranspiration calculation with hourly Penman-Monteith.✨
  • i.evapo.pm(1grass)Computes potential evapotranspiration calculation with hourly Penman-Monteith.✨
  • i.evapo.pt(1)Computes evapotranspiration calculation Priestley and Taylor formulation, 1972.✨
  • i.evapo.pt(1grass)Computes evapotranspiration calculation Priestley and Taylor formulation, 1972.✨
  • i.evapo.time(1)Computes temporal integration of satellite ET actual (ETa) following the daily ET reference (ETo) from meteorological station(s).✨
  • i.evapo.time(1grass)Computes temporal integration of satellite ET actual (ETa) following the daily ET reference (ETo) from meteorological station(s).✨
  • i.fft(1)Fast Fourier Transform (FFT) for image processing.✨
  • i.fft(1grass)Fast Fourier Transform (FFT) for image processing.✨
  • i.gensig(1)Generates statistics for i.maxlik from raster map.✨
  • i.gensig(1grass)Generates statistics for i.maxlik from raster map.✨
  • i.gensigset(1)Generates statistics for i.smap from raster map.✨
  • i.gensigset(1grass)Generates statistics for i.smap from raster map.✨
  • i.group(1)Creates, edits, and lists groups of imagery data.✨
  • i.group(1grass)Creates, edits, and lists groups of imagery data.✨
  • i.his.rgb(1)Transforms raster maps from HIS (Hue-Intensity-Saturation) color space to RGB (Red-Green-Blue) color space.✨
  • i.his.rgb(1grass)Transforms raster maps from HIS (Hue-Intensity-Saturation) color space to RGB (Red-Green-Blue) color space.✨
  • i.ifft(1)Inverse Fast Fourier Transform (IFFT) for image processing.✨
  • i.ifft(1grass)Inverse Fast Fourier Transform (IFFT) for image processing.✨
  • i.image.mosaic(1)Mosaics several images and extends colormap.✨
  • i.image.mosaic(1grass)Mosaics several images and extends colormap.✨
  • i.in.spotvgt(1)Imports SPOT VGT NDVI data into a raster map.✨
  • i.in.spotvgt(1grass)Imports SPOT VGT NDVI data into a raster map.✨
  • i.landsat.acca(1)Performs Landsat TM/ETM+ Automatic Cloud Cover Assessment (ACCA).✨
  • i.landsat.acca(1grass)Performs Landsat TM/ETM+ Automatic Cloud Cover Assessment (ACCA).✨
  • i.landsat.toar(1)Calculates top-of-atmosphere radiance or reflectance and temperature for Landsat MSS/TM/ETM+/OLI✨
  • i.landsat.toar(1grass)Calculates top-of-atmosphere radiance or reflectance and temperature for Landsat MSS/TM/ETM+/OLI✨
  • i.maxlik(1)Classifies the cell spectral reflectances in imagery data. Classification is based on the spectral signature information generated by either i.cluster, g.gui.iclass, or i.gensig.✨
  • i.maxlik(1grass)Classifies the cell spectral reflectances in imagery data. Classification is based on the spectral signature information generated by either i.cluster, g.gui.iclass, or i.gensig.✨
  • i.modis.qc(1)Extracts quality control parameters from MODIS QC layers.✨
  • i.modis.qc(1grass)Extracts quality control parameters from MODIS QC layers.✨
  • i.oif(1)Calculates Optimum-Index-Factor table for spectral bands✨
  • i.oif(1grass)Calculates Optimum-Index-Factor table for spectral bands✨
  • i.ortho.camera(1)Select and modify the imagery group camera reference file.✨
  • i.ortho.camera(1grass)Select and modify the imagery group camera reference file.✨
  • i.ortho.elev(1)Select or modify the target elevation model.✨
  • i.ortho.elev(1grass)Select or modify the target elevation model.✨
  • i.ortho.init(1)Interactively creates or modifies entries in a camera initial exposure station file for imagery group referenced by a sub-block.✨
  • i.ortho.init(1grass)Interactively creates or modifies entries in a camera initial exposure station file for imagery group referenced by a sub-block.✨
  • i.ortho.photo(1)Menu driver for the photo imagery programs.✨
  • i.ortho.photo(1grass)Menu driver for the photo imagery programs.✨
  • i.ortho.rectify(1)Orthorectifies an image by using the image to photo coordinate transformation matrix.✨
  • i.ortho.rectify(1grass)Orthorectifies an image by using the image to photo coordinate transformation matrix.✨
  • i.ortho.target(1)Select or modify the imagery group target.✨
  • i.ortho.target(1grass)Select or modify the imagery group target.✨
  • i.ortho.transform(1)Computes a coordinate transformation based on the control points.✨
  • i.ortho.transform(1grass)Computes a coordinate transformation based on the control points.✨
  • i.pansharpen(1)Image fusion algorithms to sharpen multispectral with high-res panchromatic channels✨
  • i.pansharpen(1grass)Image fusion algorithms to sharpen multispectral with high-res panchromatic channels✨
  • i.pca(1)Principal components analysis (PCA) for image processing.✨
  • i.pca(1grass)Principal components analysis (PCA) for image processing.✨
  • i.rectify(1)Rectifies an image by computing a coordinate transformation for each pixel in the image based on the control points.✨
  • i.rectify(1grass)Rectifies an image by computing a coordinate transformation for each pixel in the image based on the control points.✨
  • i.rgb.his(1)Transforms raster maps from RGB (Red-Green-Blue) color space to HIS (Hue-Intensity-Saturation) color space.✨
  • i.rgb.his(1grass)Transforms raster maps from RGB (Red-Green-Blue) color space to HIS (Hue-Intensity-Saturation) color space.✨
  • i.segment(1)Identifies segments (objects) from imagery data.✨
  • i.segment(1grass)Identifies segments (objects) from imagery data.✨
  • i.signatures(1)Manage imagery classification signature files✨
  • i.signatures(1grass)Manage imagery classification signature files✨
  • i.smap(1)Performs contextual image classification using sequential maximum a posteriori (SMAP) estimation.✨
  • i.smap(1grass)Performs contextual image classification using sequential maximum a posteriori (SMAP) estimation.✨
  • i.spectral(1)Displays spectral response at user specified locations in group or images.✨