pkextractogr

NAME

pkextractogr - extract pixel values from raster image from a (vector or raster) sample

SYNOPSIS

pkextractogr -i input [-s sample | -rand number | -grid size] -o output [options]

DESCRIPTION

pkextractogr extracts pixel values from an input raster dataset, based on the locations you provide via a sample file. Alternatively, a random sample or systematic grid of points can also be extracted. The sample can be a vector file with points or polygons. In the case of polygons, you can either extract the values for all raster pixels that are covered by the polygons, or extract a single value for each polygon such as the centroid, mean, median, etc. As output, a new copy of the vector file is created with an extra attribute for the extracted pixel value. For each raster band in the input image, a separate attribute is created. For instance, if the raster dataset contains three bands, three attributes are created (b0, b1 and b2).

A typical usage of pkextractogr is to prepare a training sample for one of the classifiers implemented in pktools.

Overview of the possible extraction rules:

OPTIONS

-i filename, --input filename

Raster input dataset containing band information

-s sample, --sample sample

OGR vector dataset with features to be extracted from input data. Output will contain features with input band information included. Sample image can also be GDAL raster dataset.

-ln layer, --ln layer

Layer name(s) in sample (leave empty to select all)

-rand number, --random number

Create simple random sample of points. Provide number of points to generate

-grid size, --grid size

Create systematic grid of points. Provide cell grid size (in projected units, e.g,. m)

-o filename, --output filename

Output sample dataset Output sample dataset

-c class, --class class

Class(es) to extract from input sample image. Leave empty to extract all valid data pixels from sample dataset. Make sure to set classes if rule is set to mode, proportion or count.

-t threshold, --threshold threshold

Probability threshold for selecting samples (randomly). Provide probability in percentage (>0) or absolute (<0). Use a single threshold per vector sample layer. If using raster land cover maps as a sample dataset, you can provide a threshold value for each class (e.g. -t 80 -t 60). Use value 100 to select all pixels for selected class(es)

-perc percentile, --perc percentile

Percentile value used for rule percentile

-f format, --f format

Output sample dataset format

-ft fieldType, --ftype fieldType

Field type (only Real or Integer)

-lt labelType, --ltype labelType

Label type: In16 or String

-b band, --band band

Band index(es) to extract. Leave empty to use all bands

-sband band, --startband band

Start band sequence number

-eband band, --endband band

End band sequence number

-r rule, --rule rule

Rule how to report image information per feature (only for vector sample). point (value at each point or at centroid if polygon), centroid, mean, stdev, median, proportion, count, min, max, mode, sum, percentile.

-bndnodata band, --bndnodata band

Band(s) in input image to check if pixel is valid (used for srcnodata)

-srcnodata value, --srcnodata value

Invalid value(s) for input image

-tp threshold, --thresholdPolygon threshold

(absolute) threshold for selecting samples in each polygon

-buf value, --buffer value

Buffer for calculating statistics for point features

-circ, --circular

Use a circular disc kernel buffer (for vector point sample datasets only, use in combination with buffer option)

-v level, --verbose level

Verbose mode if > 0