Sensor metadata parsing

Sensor metadata parsing#

GeoUtils functionalities for remote sensing users interested in parsing metadata from space- or airborne imagery.

Parsing metadata at raster instantiation#

A Raster can be instantiated while trying to parse metadata usint the parse_sensor_metadata argument.

import geoutils as gu

# Parse metadata from an ASTER raster
filename_aster = gu.examples.get_path("exploradores_aster_dem")
rast_aster = gu.Raster(filename_aster, parse_sensor_metadata=True, silent=False)

Setting platform as Terra read from filename.
Setting sensor as ASTER read from filename.
Setting product as L1A read from filename.
Setting version as 3 read from filename.
Setting datetime as 2012-03-18 14:42:28 read from filename.

# Parse metadata from a Landsat 7 raster
filename_landsat = gu.examples.get_path("everest_landsat_b4")
rast_landsat = gu.Raster(filename_landsat, parse_sensor_metadata=True, silent=False)

Setting platform as Landsat 7 read from filename.
Setting sensor as ETM+ read from filename.
Setting tile_name as 140041 read from filename.
Setting datetime as 2000-10-30 00:00:00 read from filename.

The metadata is then stored in the tags attribute of the raster.

rast_aster.tags

{'AREA_OR_POINT': 'Area',
 'platform': 'Terra',
 'sensor': 'ASTER',
 'product': 'L1A',
 'version': '3',
 'tile_name': None,
 'datetime': datetime.datetime(2012, 3, 18, 14, 42, 28)}

For tiled products such as SRTM, the tile naming is also retrieved, and converted to usable tile sizes and extents based on known metadata.

Supported sensors#

Right now are supported:

  • Landsat,

  • Sentinel-2,

  • SPOT,

  • ASTER,

  • ArcticDEM and REMA,

  • ALOS,

  • SRTM,

  • TanDEM-X, and

  • NASADEM.

Important

Sensor metadata parsing is still in development. We hope to add the ability to parse from auxiliary files in the future (such as here).