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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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