Welcome to cropmaps’s documentation!

What is cropmaps?

MAGO cropmaps package is an open source Python toolbox for crop type mapping from Sentinel-2 L2A multispectral satellite data using two well known machine learning algorithms; SVM and Random Forest.

Contents:

• Installation
  • Installation using pip
• Quickstart
  • Importing Python dependencies
  • User required information
  • Get data
  • Create CreoDIAS local storage structure
  • Keep data with specific relative orbit
  • Masking data using AOI file
  • Calculate Vegetation and RS Indices
  • Training/Predicting ML-model for crop type mapping using Sentinel-2 timeseries data
    • Importing required Python packages
    • Creating hypercube for training
    • Prepare Ground Truth (GT) data for training/testing
    • Training ML-model
    • Classification with the ML-model
• cropmaps
  • cropmaps package
    • Submodules
    • cropmaps.clipper module
      • Clipper
    • cropmaps.cube module
      • convert()
      • generate_cube_paths()
      • make_cube()
    • cropmaps.exceptions module
      • BandNotFound
      • GeometryError
      • MinMaxCloudBoundError
      • MinMaxDateError
      • NameNotInTimeSeriesError
      • NoDataError
      • NotSameGeometryError
      • PathError
      • VegetationIndexNotInList
      • imageError
      • timeseriesError
    • cropmaps.get_creodias module
    • cropmaps.logger module
      • setup()
    • cropmaps.models module
      • LandCover_Masking()
      • fill_confMatrix()
      • importance()
      • load_model()
      • random_forest_predict()
      • random_forest_predict_patches()
      • random_forest_train()
      • save_model()
      • svm_predict()
      • svm_predict_patches()
      • svm_train()
    • cropmaps.prepare_vector module
      • buffer()
      • burn()
    • cropmaps.sentinels module
      • convert()
      • sentinel2
    • cropmaps.sts module
      • sentimeseries
    • cropmaps.ts module
      • timeseries
    • cropmaps.utils module
      • worldcover()
    • cropmaps.vi module
      • vi
    • Module contents

Indices and tables

• Index

• Module Index

• Search Page