pyrsgis - Python for Remote Sensing and GIS author: pratkrt<at>gmail.com Compatible with Python versions 3+

pyrsgis API reference

Reading and exporting GeoTIFFs

pyrsgis.raster.read(file[, bands])	Read raster file
pyrsgis.raster.export(arr, ds[, filename, …])	Export GeoTIFF file

Clipping a raster

pyrsgis.raster.clip(ds, data_arr, x_min, …)	ds : datasource object
pyrsgis.raster.clip_file(file, x_min, x_max, …)	Clip and export raster file in one go
pyrsgis.raster.trim(ds, data_arr, remove)	Trim raster array and modify ds
pyrsgis.raster.trim_array(data_arr[, …])	Trim raster array to remove NoData value at the edge
pyrsgis.raster.trim_file(filename, remove, …)	Trim and export raster file

Shifting a raster

pyrsgis.raster.shift(ds[, x, y, shift_type])	Shift the datasource of a raster file
pyrsgis.raster.shift_file(file[, …])	Shift and export raster file in one go

Reshaping GeoTIFF array for statistical analysis

pyrsgis.convert.array_to_table(arr)	Convert 2D or 3D array to table
pyrsgis.convert.table_to_array(table[, …])	Convert tablar array to 2D or 3D array
pyrsgis.convert.raster_to_csv(path[, …])	Convert raster to a tabular CSV file
pyrsgis.convert.csv_to_raster(csvfile, …)	Convert a CSV file to raster

Creating image chips for deep learning

pyrsgis.ml.array_to_chips(data_arr[, …])	Image chips from raster array
pyrsgis.ml.array2d_to_chips(data_arr[, …])	Image chips from 2D array
pyrsgis.ml.raster_to_chips(file[, y_size, …])	Image chips from raster file

Generating northing and easting raster

pyrsgis.raster.north_east(arr[, layer, …])	Generate row and column number arrays
pyrsgis.raster.north_east_coordinates(ds, arr)	Generate arrays with cell latitude and longitude value.
pyrsgis.raster.northing(reference_file[, …])	Generate northing raster using a reference .tif file
pyrsgis.raster.easting(reference_file[, …])	Generate easting raster using a reference .tif file