RASTER IMAGE EXAMPLE SERIES

Warmerda % mapserv - v MapServer version 6.2.0 OUTPUT = GIF OUTPUT = PNG OUTPUT = JPEG SUPPORTS = PROJ SUPPORTS = GD SUPPORTS = AGG SUPPORTS = FREETYPE SUPPORTS = CAIRO SUPPORTS = OPENGL SUPPORTS = ICONV SUPPORTS = WMS_SERVER SUPPORTS = WMS_CLIENT SUPPORTS = WFS_SERVER SUPPORTS = WFS_CLIENT SUPPORTS = WCS_SERVER SUPPORTS = SOS_SERVER SUPPORTS = FASTCGI SUPPORTS = THREADS SUPPORTS = GEOS INPUT = JPEG INPUT = POSTGIS INPUT = OGR INPUT = GDAL INPUT = SHAPEFILE warmerda % gdalinfo - formats Supported Formats : VRT ( rw + v ): Virtual Raster GTiff ( rw + vs ): GeoTIFF NITF ( rw + vs ): National Imagery Transmission Format RPFTOC ( rovs ): Raster Product Format TOC format ECRGTOC ( rovs ): ECRG TOC format. So thoseįour value are classified, and one of the classification results is selectedīased on which value is closest to the pixel value being classified. In particular, the values classified would be The following example classifies a floating raster, but only 4 values over the Range of input values and a reduced number of scaling values (buckets). In someĬases rendering can be accelerated considerable by selecting a restricted SCALE_BUCKETS PROCESSING directive controls the number of buckets. The SCALE=min,max PROCESSING directive controls the range. Pre-classified, or the number of values (aka Buckets) in that range toĬlassify. The PROCESSING directive can be used to override the range of values to be For floating pointĪnd other input data types, up to 65536 values are pre-classified based on the Inputs all 65536 possible input values are pre-classified. Butįor non-8bit inputs more values need to be classified. Hundreds of thousands of pixels in a typical rendered image.įor simple 8bit inputs, only 256 input values need to be pre-classified.

RASTER IMAGE EXAMPLE SERIES

This is done because evaluating a pixel valueĪgainst a series of CLASS definitions is relatively expensive to do for the Works transparently but there are a few caveats and options to provideĬlassifying raster data in MapServer is accomplished by pre-classifying allĮxpected input values and using that table of classification results to lookupĮach pixel as it is rendered. That is input rasters with values outside the range 0-255. Classifying Non-8bit Rasters ¶Īs of MapServer 4.4 support has been added for classifying non-8bit raster That might have applied (such as 3 band RGB rendering). Single CLASS declaration in a raster layer will result in the raster layerīeing rendered using the one band classification rules instead of other rules In particular this means that including even a To the first band in the referenced file, but this can be altered with theīANDS PROCESSING directive. Raster classifications always take place on only one raster band. The other styling or control information is Only the COLOR, EXPRESSIONĪnd NAME parameters within a CLASS definition are utilized for If a CLASS has a NAMEĪttribute it may appear in a LEGEND.

CLASS EXPRESSION ( >= 64 AND 200 AND > 200 AND > 200 ) STYLE COLOR 0 255 0 END END # Class using a regular expression to capture only pixel values ending in 1 CLASS EXPRESSION /* 1 / STYLE COLOR 0 0 255 END END ENDĪs usual, CLASS definitions are evaluated in order from first to LAYER NAME 'JacksonvilleNC_CIB' DATA 'Jacksonville.tif' TYPE RASTER STATUS ON CLASSITEM '' # class using simple string comparison, equivalent to ( = 0) CLASS EXPRESSION '0' STYLE COLOR 0 0 0 END END # class using an EXPRESSION using only.

Raster image example