rastereasy Logo
  • Rastereasy Library
    • Overview
    • Using and citing the toolbox
    • Some interesting functions
      • Resampling Function
        • resampling()
      • Projection Function
        • reproject()
      • Cropping Function
        • crop()
      • Machine Learning
        • kmeans()
        • apply_ML_model()
      • Band manipulation
        • stack()
        • reorder_bands()
        • remove_bands()
      • Access to numpy
        • numpy_channel_first()
        • numpy_channel_last()
        • image_from_table()
      • Processing on images
        • adapt()
        • image_from_table()
    • Additional Notes
  • Installation
    • With pip
    • From source
    • Note for jupyter-lab users
  • Quick Start
    • Getting Started
    • Examples
  • Releases
    • 0.1.1
    • 0.1.0
  • Contributors
  • Licence, Code of conduct & source code

Examples

  • Examples of rastereasy use
    • Data for notebooks
    • 00 Quick Start
    • 01 Read And Plot
    • 02 Plot Spectral Bands And Get Pixel Values
    • 03 Crop Image
    • 04 Reprojection
    • 05 Resample
    • 06 Deal With Numpy Arrays
    • 07 Save Images
    • 08 Standardization Of Bands
    • 09 Select Bands
    • 10 Pixel Vs Geo Coord
    • 11 Demo Add Bands
    • 12 Remove Bands
    • 13 Stack Images
    • 14 Deal With Bounding Boxes
    • 15 Extract From Shp
    • 16 Ex Compute Ndvi
    • 17 Demo Adapt Bands With Ot
    • 18 Ex Kmeans
    • 19 Fusion Dempster Shafer 2Hypotheses
    • 20 Prepare Snippets Data For Training
    • 21 Create Geoimage From Single Tif Bands

API Reference

  • Classes of rastereasy
    • Geoimage
      • Geoimage.__init__()
      • Geoimage.where()
      • Geoimage.update_from()
      • Geoimage.reset_names()
      • Geoimage.change_nodata()
      • Geoimage.change_names()
      • Geoimage.activate_history()
      • Geoimage.deactivate_history()
      • Geoimage.copy()
      • Geoimage.info()
      • Geoimage.get_type()
      • Geoimage.get_spatial_resolution()
      • Geoimage.get_latlon_coordinates()
      • Geoimage.get_size()
      • Geoimage.get_nb_bands()
      • Geoimage.get_meta()
      • Geoimage.get_nodata()
      • Geoimage.get_bounds()
      • Geoimage.get_names()
      • Geoimage.get_georef()
      • Geoimage.unique()
      • Geoimage.abs()
      • Geoimage.sum()
      • Geoimage.min()
      • Geoimage.max()
      • Geoimage.mean()
      • Geoimage.std()
      • Geoimage.median()
      • Geoimage.replace_values()
      • Geoimage.percentage_pixels()
      • Geoimage.hist()
      • Geoimage.colorcomp()
      • Geoimage.convert_3bands()
      • Geoimage.plot_spectra()
      • Geoimage.visu()
      • Geoimage.numpy_channel_first()
      • Geoimage.numpy_channel_last()
      • Geoimage.numpy_table()
      • Geoimage.image_from_table()
      • Geoimage.upload_table()
      • Geoimage.upload_image()
      • Geoimage.astype()
      • Geoimage.reproject()
      • Geoimage.latlon2pixel()
      • Geoimage.pixel2latlon()
      • Geoimage.save()
      • Geoimage.extract_from_shapefile()
      • Geoimage.extract_from_shapeimage()
      • Geoimage.kmeans()
      • Geoimage.apply_ML_model()
      • Geoimage.adapt()
      • Geoimage.fuse_dempster_shafer_2()
      • Geoimage.standardize()
      • Geoimage.inverse_standardize()
      • Geoimage.resampling()
      • Geoimage.crop()
      • Geoimage.select_bands()
      • Geoimage.stack()
      • Geoimage.remove_bands()
      • Geoimage.reorder_bands()
      • Geoimage.switch_band()
      • Geoimage.add_band()
    • shpfiles
      • shpfiles.get_shapefile_attributes()
      • shpfiles.shp2geoim()
      • shpfiles.shp2raster()
    • InferenceTools
      • InferenceTools.kmeans()
      • InferenceTools.fuse_dempster_shafer_2hypotheses()
      • InferenceTools.adapt()
    • rasters
      • rasters.stack()
      • rasters.remove_bands()
    • Visualizer
      • Visualizer.plot_spectra()
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