tilezilla.sensors.landsat module

Module for dealing with Landsat sensors

class tilezilla.sensors.landsat.ESPAMetadata(path, data)

Bases: object

ESPA Metadata parsing

Parameters:

• path (str) – Path to metadata file
• data (BeautifulSoup) – A BeautifulSoup of the XML metadata

classmethod from_file(path)

acquired

Arrow: date and time of acquisition

The time of this acquisition is taken as the scene center time.

bands

bounds

instrument

str: instrument taking acquisition measurement

platform

str: platform holding instrument for this acquisition

processed

Arrow: date and time of processing

scene_id

Landsat scene ID (e.g., LT50120312002300LGS01)

solar_azimuth

float: solar azimuth angle during acqusition

solar_zenith

float: solar zenith angle during acquisition

class tilezilla.sensors.landsat.MTL(path, data)

Bases: object

Landsat “MTL” metadata file

Parameters:

• path (str) – Path to the metadata file
• data (OrderedDict) – metadata contained within the MTL file

classmethod from_file(path)

Parameters:path (str) – path to the MTL file Returns:Instance of MTL Return type:MTL

LPGS

Level-1 Product Generation System version number

cloud_cover

ACCA cloud cover score

path_row

WRS-2 path and row

product_level

Level-1 product level (L1G, L1T, etc.)

scene_id

Landsat scene ID (e.g., LT50120312002300LGS01)

sensor

Landsat sensor (e.g., LT4, LT5)

tilezilla.sensors.landsat.description_to_friendly_name(sensor, desc)

Return friendly name of band given description and sensor

Parameters:sensor (str) – Landsat sensor [LM, LT, LE, LC] Returns:Return converted friendly name or original description if could not convert Return type:str

tilezilla.sensors.landsat.parse_MTL(filename)

Return an ordered dict from a Landsat “MTL” metadata file

Parameters:filename (str) – MTL filename Returns:dict of MTL file Return type:OrderedDict

tilezilla.sensors.landsat.HDF_PATH = 'HDF4_EOS:EOS_GRID:"{hdf_root}":Grid:{variable}'

str: HDF path formatting

tilezilla.sensors.landsat.SENSOR_BAND_FRIENDLY_NAMES = {'LT5': {'swir1': 5, 'blue': 1, 'green': 2, 'red': 3, 'swir2': 7, 'nir': 4, 'thermal': 6}, 'LM2': {'nir': 4, 'red': 3, 'blue': 1, 'green': 2}, 'LE7': {'swir1': 5, 'blue': 1, 'green': 2, 'red': 3, 'swir2': 7, 'nir': 4, 'thermal': 6}, 'LC8': {'swir1': 6, 'blue': 2, 'green': 3, 'red': 4, 'swir2': 7, 'nir': 5, 'thermal': 10}, 'LM1': {'nir': 4, 'red': 3, 'blue': 1, 'green': 2}, 'LT4': {'swir1': 5, 'blue': 1, 'green': 2, 'red': 3, 'swir2': 7, 'nir': 4, 'thermal': 6}}

dict[sensor=dict[friedly_name=band number]]