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CHANGELOG.md

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CHANGELOG

0.3.0 (yyyy-mm-dd)

Deprecations and compatibility notes

  • Restructure + cleanup of configuration file, mainly to avoid duplicate keys and to improve parameter names:
    • Consolidate and rename start_date_str, end_date_str and end_date_subtract_days from sections marker and calc_periodic_mosaic_params to respectively start_date, end_date and images_available_delay in a new section period.
    • Consolidate roi_bounds, roi_crs and roi_name from sections marker and calc_periodic_mosaic_params to a new section roi.
    • Consolidate marker.sensordata_to_use and calc_periodic_mosaic_params.imageprofiles_to_get to images.images.
    • Move marker.buffer to section timeseries.
    • Move marker.image_profiles_config_filepath to paths.image_profiles_config_filepath
    • Move marker.year to period.year.
    • Drop calc_periodic_mosaic_params.dest_image_data_dir and use dirs.images_periodic_dir instead.
    • Rename section dirs to paths.
    • Remove general.run_id.
  • Rename some main modules to make naming more logical with non-cropclassification markers being added (#162)

Improvements

  • Add feature "cross-prediction-models" to avoid markers being calculated on parcels using a model that used this parcel in its training (#142, #143)
  • Consolidated some landcover pre-processing ignore codes (#120)
  • Add some extra global accuracies (precision, recall, f1) to report (#119)
  • Add option images.on_missing_images to be able to ignore errors in the calculation of images if needed (#125, #126, #138)
  • Filter away rasterio logging for extrasamples (#127)
  • Save openeo images with int16 bands as int16 locally as well (again) (#131, #135)
  • Linting improvements: add isort, sync rules with geofileops (#133, #134)
  • Add support to calculate zonalstats/spatial aggregations with ExactExtract (#139)
  • Make the number of top classes of the classification to retain configurable (#145)
  • Add support to configure pixel type for indices (#150)
  • Add support to generate rvi index (#146)
  • Add support to generate vvdvh index (#151)
  • Add support to generate sarrgb images and apply enhanced lee despeckling (#157)
  • General small improvements, e.g. save randomforest models compressed,.. (#144)

Bugs fixed

  • Fix calc_periodic_mosaic_task to read roi_bounds parameter as list of floats from config (#130)

0.2.0 (2024-06-17)

Deprecations and compatibility notes

  • To provide the possibility to specify any hyperparameter for sklearn classifiers, the parameters will now have to be specified as a json string instead of in individual parameters when such a classifier is used. Because of this, the following parameters become obsolete + the default values will become the default values in sklearn (#110):
    • randomforest_n_estimators: default 100 instead of 200
    • randomforest_max_depth: default None instead of 35
    • multilayer_perceptron_hidden_layer_sizes: default (100,) instead of (100, 100)
    • multilayer_perceptron_max_iter: default 200 instead of 1000
    • multilayer_perceptron_learning_rate_init
  • For keras multilayer perceptron, some changes were applied to the default hyperparameters (#115)

Improvements

  • Add task/action to automate periodic download of images (#67)
  • Add support to calculate indexes locally (#55)
  • Improve config and handling of "weekly" and "biweekly" raster image periods (#78)
  • Add possibility to configure any possible hyperparameter for the supported sklearn based classifiers (#110)
  • Add support for HistGradientBoostingClassifier (#95)
  • Improve configurability + defaults of keras mlp classifier (#115)
  • Make image profiles to be used in a classification configurable in a config file (#56)
  • Add option to overrule configuration parameters at runtime (#92)
  • If image period is e.g. "weekly", align start_date of a marker to the next monday instead of the previous one to avoid using data outside the dates provided (#83, #84)
  • Add method "best available pixel" on openeo for S2 (#70)
  • Add utility script to recalculate reports for an existing run + make recalculation more robust for old runs (#91, #102, #103, #104, #106)
  • Improve pixelcount calculation for parcels (#96, #105)
  • Improve calculation of beta error in reporting (#97)
  • Add "theta errors" to report + general reporting improvements (#114)
  • Add whether a parcel has been used for training to output (#107)
  • Run bulk_zonal_stats in low priority worker processes (#81)
  • Use ruff instead of black and flake for formatting and linting (#57, #64, #65, #67)
  • Updates to avoid warnings from (newer versions of) dependencies like pandas, geofileops (#88, #109)

Bugs fixed

  • Various fixes and improvements to bulk_zonal_statistics with engine="pyqgis" (#76, #80)
  • Fix some group names being wrong/unclear in the classification reporting (#90)

0.1.1 (2023-08-08)

Improvements

  • Clip s2 and s1 timeseries values to one to avoid outliers > 1 (#47)
  • Change default time_reducer to mean for both s1 and s2 (#48)

0.1.0

Improvements

  • Add support to use openeo for image retrieval/calculation (#36)
  • Improve performance of zonal_stats_bulk (#38)
  • Use black to comply to pep8 + minor general improvements (#13)
  • Upgrade all dependencies (#12)
  • Add support for pandas 2.0 (#21)