Using GDAL's gdalinfo Command Line Tool

Provides the following information:

  • Driver Type
  • Files
  • Dimensions
  • Coordinate System
  • Metadata
  • Corner Coordinates
  • Band Statistics
$ gdalinfo path/to/file.tif

Using RasterIO's rio insp Command Line Tool

Provides the following information:

  • Affine Transform
  • Coordinate System
  • Band Count
  • Driver Type
  • Datatype
  • Dimensions
  • Nodata
$ pip install rasterio
$ rio insp path/to/file.tif

>>> import pprint as pp
>>> pp.pprint(src.meta)  # raster metadata

Using GDAL's Python Bindings

A sampling of what information this method provides:

  • Geotransform
  • Coordinate System
  • Band Count
  • Driver Type
  • Dimension
  • Nodata
#!/usr/bin/env python
import gdal

def insp_raster(filepath):
    dataset = gdal.Open(filepath)
    driver = dataset.GetDriver()
    band = dataset.GetRasterBand(1)
    array = band.ReadAsArray()

    geotransform = dataset.GetGeoTransform()
    coord_sys = dataset.GetProjection()
    band_count = dataset.RasterCount
    driver_type = driver.GetDescription()
    dimensions = (dataset.RasterXSize, dataset.RasterYSize)
    nodata = band.GetNoDataValue()

    print 'Geotransform:', geotransform
    print 'Coordinate System:', coord_sys
    print 'Band Count', band_count
    print 'Driver Type', driver_type
    print 'Dimensions', dimensions
    print 'Nodata', nodata

    ds, driver = None, None

insp_raster('path/to/file.tif')