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GeoWombat

Getting Started

  • Installing GeoWombat
  • Quick overview
  • Basics
    • Why GeoWombat?
    • Opening rasters
    • Editing rasters
    • Configuration manager
    • GeoWombat DataArray accessor
    • Coordinate Reference Systems
    • Plotting raster data
  • Details
    • Raster I/O
    • Distributed processing
    • Data extraction
    • Band math
    • User functions
    • Machine learning
    • Deep learning classifiers
    • Object detection
    • Moving windows
    • Radiometry
    • Co-registration
    • Pipeline tasks
    • Accessing STAC Catalogs
    • External examples
    • Time series processes on the GPU

Examples

  • Opening and Plotting Rasters with GeoWombat
  • Mosaicing Tiles and Basic Calculations
  • Moving Window Operations with GeoWombat
  • Accessing Satellite Imagery with STAC
  • Machine Learning Classification in GeoWombat
  • Deep Learning Classifiers in GeoWombat
  • Object Detection with geowombat

Changes

  • Changelog
  • Issues

Reference

  • API reference
    • GeoWombat DataArray (DataArray.gw)
    • load
    • extract
    • sample
    • calc_area
    • subset
    • clip
    • clip_by_polygon
    • mask
    • replace
    • recode
    • coregister
    • polygons_to_points
    • apply
    • transform_crs
    • save
    • to_raster
    • to_netcdf
    • to_vrt
    • array_to_polygon
    • polygon_to_array
    • moving
    • norm_diff
    • avi
    • evi
    • evi2
    • kndvi
    • nbr
    • ndvi
    • wi
    • tasseled_cap
    • coords_to_indices
    • indices_to_coords
    • bounds_to_coords
    • lonlat_to_xy
    • xy_to_lonlat
    • open
    • series
    • TimeModulePipeline
    • TimeModule
    • composite_stac
    • merge_stac
    • open_stac
    • STACCollectionURLNames
    • STACCollections
    • STACNames
    • StrEnum
    • fit
    • fit_predict
    • predict
    • boxes_from_polygons
    • build_dataset
    • build_yolo_dataset
    • detection_accuracy
    • export_for_review
    • fit
    • fit_predict
    • plot_detections
    • predict
    • recompute_from_review
    • SAMRefiner
    • TorchGeoDetector
    • YOLODetector
    • landsat_pixel_angles
    • sentinel_pixel_angles
    • BRDF
    • Topo
    • LinearAdjustments
    • RadTransforms
    • DOS
    • SixS
    • QAMasker
    • QABits
    • SCLValues
    • HLSFmaskBits
  • .rst

QABits

Contents

  • QABits
    • QABits.landsat_c2_l2

QABits#

class geowombat.radiometry.QABits(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

QA bits.

Reference:

https://www.usgs.gov/landsat-missions/landsat-project-documents

Attributes Summary

landsat_c2_l2

Attributes Documentation

landsat_c2_l2 = {'cirrus': 2, 'clear': 6, 'cloud': 3, 'cloud_shadow': 4, 'dilated_cloud': 1, 'fill': 0, 'snow': 5, 'water': 7}#

previous

QAMasker

next

SCLValues

Contents
  • QABits
    • QABits.landsat_c2_l2

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