xenial (1) r.import.1grass.gz

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NAME

       r.import  - Imports raster data into a GRASS raster map using GDAL library and reprojects on the fly.

KEYWORDS

       raster, import, projection

SYNOPSIS

       r.import
       r.import --help
       r.import     [-enl]     input=name     [band=integer[,integer,...]]      [memory=integer]     output=name
       [resample=string]    [extent=string]    [resolution=string]    [resolution_value=float]     [--overwrite]
       [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -e
           Estimate resolution only

       -n
           Do not perform region cropping optimization

       -l
           Force Lat/Lon maps to fit into geographic coordinates (90N,S; 180E,W)

       --overwrite
           Allow output files to overwrite existing files

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       input=name [required]
           Name of GDAL dataset to be imported

       band=integer[,integer,...]
           Input band(s) to select (default is all bands)

       memory=integer
           Maximum memory to be used (in MB)
           Cache size for raster rows
           Options: 0-2047
           Default: 300

       output=name [required]
           Name for output raster map

       resample=string
           Resampling method to use for reprojection
           Options: nearest, bilinear, bicubic, lanczos, bilinear_f, bicubic_f, lanczos_f
           Default: nearest
           nearest: nearest neighbor
           bilinear: bilinear interpolation
           bicubic: bicubic interpolation
           lanczos: lanczos filter
           bilinear_f: bilinear interpolation with fallback
           bicubic_f: bicubic interpolation with fallback
           lanczos_f: lanczos filter with fallback

       extent=string
           Output raster map extent
           Options: input, region
           Default: input
           input: extent of input map
           region: extent of current region

       resolution=string
           Resolution of output raster map (default: estimated)
           Options: estimated, value, region
           Default: estimated
           estimated: estimated resolution
           value: user-specified resolution
           region: current region resolution

       resolution_value=float
           Resolution of output raster map (use with option resolution=value)

DESCRIPTION

       r.import  imports  a  map  or  selected bands from a GDAL raster datasource into the current location and
       mapset. If the projection of the input does not match the  projection  of  the  location,  the  input  is
       reprojected  into  the  current location. If the projection of the input does match the projection of the
       location, the input is imported directly with r.in.gdal.

NOTES

   Resolution
       r.import reports the estimated target resolution for each  input  band.  The  estimated  resolution  will
       usually  be  some  floating  point  number,  e.g.  271.301. In case option resolution is set to estimated
       (default), this floating point number will be used as target  resolution.  Since  the  target  resolution
       should  be typically the rounded estimated resolution, e.g. 250 or 300 instead of 271.301, flag -e can be
       used first to obtain the estimate without importing the raster bands.  Then the desired resolution is set
       with option resolution_value and option resolution=value.  For latlong locations, the resolution might be
       set to arc seconds, e.g. 1, 3, 7.5, 15, and 30 arc seconds are commonly used resolutions.

   Resampling methods
       When reprojecting a map to a new spatial reference system, the projected data is resampled  with  one  of
       four different methods: nearest neighbor, bilinear, bicubic iterpolation or lanczos.

       In the following common use cases:

       nearest is the simplest method and the only possible method for categorical data.

       bilinear  does  linear  interpolation  and provides smoother output than nearest. bilinear is recommended
       when reprojecting a DEM for hydrological analysis or for surfaces where overshoots must be avoided,  e.g.
       precipitation should not become negative.

       bicubic produces smoother output than bilinear, at the cost of overshoots.

       lanczos  produces the smoothest output of all methods and preserves contrast best. lanczos is recommended
       for imagery.  Both bicubic and lanczos  preserve  linear  features.  With  nearest  or  bilinear,  linear
       features can become zigzag features after reprojection.

       For explanation of the -l flag, please refer to the r.in.gdal manual.

       When  importing  whole-world  maps  the  user  should  disable map-trimming with the -n flag. For further
       explanations of -n flag, please refer the to r.proj manual.

EXAMPLE

       Import of a subset from Bioclim data set,  to  be  reprojected  to  current  location  projection  (North
       Carolina  sample  dataset). While normally the full raster map is imported, we spatially subset using the
       extent parameter:
       # download selected Bioclim data
       wget http://biogeo.ucdavis.edu/data/climate/worldclim/1_4/grid/cur/bio_2-5m_bil.zip
       # extract BIO1 from package:
       unzip bio_2-5m_bil.zip bio1.bil bio1.hdr
       # set computational region to North Carolina, 4000 m target pixel resolution
       g.region -d res=4000 -ap
       # subset to current region and reproject on the fly to current location projection,
       # using -n since whole-world map is imported:
       r.import input=bio1.bil output=bioclim01 resample=bilinear \
                extent=region resolution=region -n
       r.info bioclim01
       r.univar -e bioclim01

KNOWN ISSUES

       The option extent=region only works when the dataset has a different projection than the current location
       (i.e., internally r.proj is invoked).

SEE ALSO

        r.in.gdal, r.proj

AUTHORS

       Markus Metz
       Improvements: Martin Landa, Anna Petrasova

       Last changed: $Date: 2015-01-20 20:52:27 +0100 (Tue, 20 Jan 2015) $

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