Changelog

Source: NEWS.md

What’s new in SITS version 1.5.3

CRAN release: 2025-07-23

• Introduce a Python API for SITS (pysits)
• New version of the documentation on code and sitsbook
• Implement SAR texture measures based on co-occurrence matrices
• Refactor MPC token generation
• Introduce sits_roi_to_tiles function
• Add support for HLS collection from MPC
• Support for TERRASCOPE products WORLD COVER and WORLD CEREAL
• Support for Open Geo Hub Harmonized Landsat collection
• Review sits_get_data() implementation
• Improvements in sits_mosaic()
• Fix sits_clean() multicores operations
• Add WebGL as default engine in sits_view() using leafgl
• Review CDSE implementation to support OpenSearch and STAC endpoints
• Improve speed in sits_summary() and sits_stratified sampling
• Fix problems in sits_regularize()
• Include label parameter on sits_select()
• General bug fixes

What’s new in SITS version 1.5.2

CRAN release: 2025-02-12

• Include exclusion_mask parameter in sits_classify() and sits_smooth()
• Support classification data cubes with NA values
• Support for multiple tiling system in sits_regularize(), including MGRS and Brazil Data Cube grids
• Review sits_merge() implementation to better handle multiple scenario cases
• Support roi when plotting data cubes
• Refactor sits_cube_copy() to improve timeout handling and efficiency
• Include filtering by tiles in regularization operation
• Include start and end dates for each collection in sits_list_collections()
• Add support to SpatExtent object from terra as roi in sits_cube()
• Update crs usage in sits_get_data() to support WKT
• Implement Sakoe-Chiba approximation for DTW algorithm
• Support for tmap version 4.0
• Enhance performance and usability in visualization functions
• Enhance sits_classify() performance with segments classification
• Support for interactive visualization with SOM samples
• General bug fixes

What’s new in SITS version 1.5.1

CRAN release: 2024-08-19

• Support for ESA World Cover map
• Support for Digital Earth Australia products
• Support for Digital Earth Africa geomedian products
• Support for PLANET Mosaic products
• Improve .netrc access to Harmonized Landsat-Sentinel cubes
• Use ROI to cut data cube after mosaic operation
• Support for raster and vector classification using DEM as base cubes
• Convert from ‘httr’ package to ‘httr2’ package
• Remove deprecated class to purrr::map_dfc, purrr::map_dfr and similar
• Fix tuning for torch models
• Add geometry validation when extracting time series
• Add multicores processing support for active learning sampling methods
• Remove tapply from .reg_cube_split_assets() for R 4.X compatibility
• Fix sits_merge() function that was not merging SAR and OPTICAL cubes
• Rename n_input_pixels back to input_pixels for compatibility with models trained in old versions of the package
• Fix torch usage in Apple M3
• Fix date parameter usage in sits_view()
• Improve plot() performance using raster overviews

New features in SITS version 1.5.0

• Support for SENTINEL-1-RTC and SENTINEL-2-L2A in CDSE
• Include support for DEA products SENTINEL-1-RTC, LS5-SR, LS7-SR, LS9-SR, ALOS-PALSAR-MOSAIC, NDVI ANOMALY, DAILY CHIRPS, MONTHLY CHIRPS and DEM-30
• Support for Sentinel-1 GRD and RTC collections from Planetary Computer
• Include parameter tile to select data from Sentinel-1 (MPC)
• Include parameter tile to select data from Sentinel-1 and Sentinel-2 (DEAFRICA)
• Include parameter tile to select data from HLS collections
• Improved support for GPU-based classification of deep learning models
• Support for non-normalized derived indexes
• Support for shapefiles as ROI in sits_cube()
• Fix inconsistencies in HLS scale factors
• New function to obtain ROI based on MGRS tiles
• Add support for uncertainty cubes in sits_mosaic()
• Improve performance of sits_segment() using chunk parallelization
• Include uncertainty measures for vector probability cubes
• New sits_clean() function to improve classified maps
• New functions sits_sampling_design() and sits_stratified_sampling()
• New sits_reduce() function
• Include dtw distance when building SOM maps

What’s new in SITS version 1.4

Hotfix version 1.4.2-3

• Fix font download in package initialization

Hotfix version 1.4.2-2

• Fix integer overflow bug in sits_classify() segments

Hotfix version 1.4.2-1

• Fix crs bug in sits_apply()
• Update file name in clean feature
• Fix time series extraction bug with segments
• Fix examples

New features in SITS version 1.4.2

• Support for vector data cubes, including visualisation
• Object-based time series analysis using spatio-temporal segmentation
• Improved support for GPU usage when running deep learning algorithms
• New function to clean values by modal filter in classified images
• Added experimental support for Sentinel-1 images available on MPC
• Summary function now includes cloud cover information
• General bug fixes

New features in SITS version 1.4.1

• Updated access to collections in Brazil Data Cube, HLS, and AWS
• Corrected errors in labelling of classified cubes
• Created a factory of functions for segmentation

New features in SITS version 1.4.0

• New function for image segmentation based on supercells package
• New version of sits_get_data() to extract average values of time series based on segments
• Support for Harmonized Landsat Sentinel (HLS) collections from NASA
• Support for probability cubes and uncertainty cubes in sits_view()
• New summary() function to show details of data cubes and time series tibbles
• General big fixes

What’s new in SITS version 1.3

New features in SITS version 1.3.0

• Remove NOTES and WARNINGS pointed out by CRAN
• New sits_mosaic() function for improving visualization of large data sets
• Add support to cubes with no cloud coverage information in sits_regularize()
• Improve sits_cube_copy() for downloading data from the internet
• Tested and validated GPU support for deep learning models in sits
• Added multithread support for deep learning models in sits_train()
• Improve sits_combine_predictions()
• Remove dependencies on data.table package
• Organize and clean internal APIs
• General bug fixes

What’s new in SITS version 1.2.0

CRAN release: 2022-11-16

Hotfix version 1.2.0-4

• Fix .raster_file_blocksize.terra() bug (issue #918)

Hotfix version 1.2.0-3

• Fix stars proxy bug (issue #902)
• Fix purrr cross deprecation
• Fix ggplot2 aes_string deprecation

Hotfix version 1.2.0-2

• Fix tibble subsetting bug (issue #893)

Hotfix version 1.2.0-1

• Fix sits_som_clean_samples() bug (issue #890)

New features in SITS version 1.2.0

• sits_get_data() can be used to retrieve samples in classified cube
• Support for mixture models (sits_mixture_model())
• Joining cubes in a mosaic (sits_mosaic_cubes())
• Extract the trained ML model (sits_model())
• Downloading and copying data cubes (sits_cube_copy())
• Combine prediction by average and entropy (sits_combine_predictions())
• Significant performance improvement when working with COG files
• Allow plot of confusion matrix (sits_plot)
• Support for operations on CLOUD band in sits_apply()
• Bug fixes and internal re-engineering for better code maintenance

What’s new in SITS version 1.1.0

CRAN release: 2022-07-07

Hotfix version 1.1.0-8

• Fix support to BDC cubes in sits_regularize() (issue #848)
• Fix support to classified_image cubes in sits_labels()<- (issue #846)

Hotfix version 1.1.0-7

• Fix out of memory error in sits_label_classification() and sits_smooth() (issue #850)

Hotfix version 1.1.0-6

• Fix resume feature in sits_classify() on BDC cubes (issue #844)

Hotfix version 1.1.0-5

• Fix bound box issue in image blocks produced by sits_apply()

Hotfix version 1.1.0-4

• Fix MPC cube time expiration bug

Hotfix version 1.1.0-3

• Fix bound box issue in image blocks produced by sits_apply()

Hotfix version 1.1.0-2

• Improve sits_values() function (issue #810)
• Fix sits_reduce_imbalance() function (issue #809)

Hotfix version 1.1.0-1

• Fix sits_accuracy() function (issue #807)

New features in SITS version 1.1.0

• Introduced support to kernel functions in sits_apply
• Introduced new function sits_mixture_model for spectral mixture analysis
• Support for the Swiss Data Cube (swissdatacube.org)
• Support for mosaic visualization in sits_view
• Introduced new function sits_as_sf to convert sits objects to sf
• Export images as COG in sits_regularize
• Add roi parameter in sits_regularize function
• Add crs parameter in sits_get_data
• Change Microsoft Planetary Computer source name to "MPC"
• Fix several bugs and improve performance

What’s new in SITS version 1.0.0

CRAN release: 2022-05-19

• Available on CRAN.

New features in SITS version 1.0.0

• Hotfix to improve sits_whittaker() function to process cube.
• Update documentation to match CRAN standards

What’s new in SITS version 0.17.0

New features in SITS version 0.17.0

• Introduced new classifier model sits_lighttae() (Lightweight Temporal Self-Attention)
• Introduced sits_uncertainty_sampling() for active learning
• Introduced sits_confidence_samples() for semi-supervised learning
• Introduced sits_geo_dist() to generate samples-samples and samples-predicted plot
• Introduced sits_tuning() for random search of machine learning parameters
• Introduced sits_reduce_imbalance() function to balance class samples
• Introduced sits_as_sf() to convert a sits tibble to a sf object
• Support to torchopt deep learning optimizer package
• New types of sits_uncertainty(): least confidence and margin of confidence

Improvements in SITS version 0.17.0

• Implement parallel processing for sits_kfold_validate()
• Change data to samples in sits machine learning classifiers (NOTE: models trained in previous versions is no longer supported)
• Change deep learning functions to snake case
• Remove file parameter in sits_get_data() function
• Update documentation
• Improve several internal functions performances
• Fix several bugs

What’s new in SITS version 0.16.3

New features in SITS version 0.16.3

• reimplemented all deep learning functions using torch package and remove keras dependence
• Introduced sits_TAE() classification model
• Introduced sits_lightgbm() classification model
• Simplified sits_regularize() parameters
• Improve sits_regularize() to reach production level quality
• Improve sits_regularize() to use C++ internal functions
• Include improved version of gdalcubes
• Improve sits_cube() to open results cube
• Update plot() parameters on raster cubes
• Support multi-tile for classified cube in sits_view()

What’s new in SITS version 0.16.2

New features in SITS version 0.16.2

• Improve sits_get_data() to accept tibbles
• Remove multiples progress bar from sits_cube()
• Improve sits_regularize() to process in parallel by tiles, bands, and dates
• Improve sits_regularize() to check malformed files

What’s new in SITS version 0.16.1

New features in SITS version 0.16.1

• Update AWS_NO_SIGN_REQUEST environment variable
• Solved bug in .gc_get_valid_interval() function.
• Now sits_regularize has a fault tolerance system, so that if there is a processing error the function will delete the malformed files and create them again.
• sits_regularize function has a new parameter called multithreads.
• sits_cube function for local cubes has a new parameter called multicores.
• Print F1 score in sits_kfold_validate with more than 2 labels.

What’s new in SITS version 0.16.0

New features in SITS version 0.16.0-1

• hotfix sits_cube() function to tolerate malformed paths from STAC service;

New features in SITS version 0.16.0

• Include sits_apply() function to generate new bands from existing ones;
• Improve sits_accuracy() function to work with multiple cubes;
• Add band parameter to sits_view()
• Introduce sits_uncertainty() function to provide uncertainty measure to probability maps;
• Improve sits_regularize() by taking least cloud cover by default method to compose images
• Bug fixes;

What’s new in SITS version 0.15.1

New features in SITS version 0.15.1-1

• Fix bug in sits_regularize that generated images with artifacts
• Fix wrong bbox in sits_cube from STAC AWS Sentinel-2

New features in SITS version 0.15.1

• Update README.Rmd
• Support sits_timeline() to sits model objects
• Update drone image
• Simplify config_colors.yml by removing palette names
• Temporary python files are being generated in the check
• Organize color handling in SITS
• Organize configuration files
• Improve preconditions in sits_regularize()
• Compress external data with bzip2
• Update gdalcubes format files
• Update rstac version
• Check provided parameters in sits_regularize function
• Use default palette for SOM colors
• Remove start_date and end_date from validation csv file
• Use a default brewer palette to plot classified cube
• Improve package help pages
• Remove unused data sets
• Remove rarely used functions
• sits_regularize() is producing Float64 images as output
• Full support for Microsoft Planetary Computing

What’s new in SITS version 0.15.0

New features in SITS version 0.15.0-4

• Change gdalcubes_chunk_size in “config.yml” to improve sits_regularize().

New features in SITS version 0.15.0-3

• Fix bug in .source_collection_access_test to pass ellipsis to rstac::post_request function.

New features in SITS version 0.15.0-2

• Fix bug in .source_collection_access_test to pass ellipsis to rstac::post_request function.
• Update drone version

New features in SITS version 0.15.0-1

• Fix bug in sits_plot
• Fix bug in sits_timeline for cubes that do not have the same temporal extent.

New features in SITS version 0.15.0

• Support for regularization of collections in DEAFRICA and USGS improvement
• Collection S2_10_16D_STK-1 removed from BDC source in config file
• Add a color for NoClass label improvement
• Change mapview to leaflet package
• Standardize cube creation parameters
• Remove CLASSIFIED and PROBS sources from config file
• Change minimal version requirement of terra package to 1.4-11
• Update sits_list_collections() to indicate open data collection
• Geographical visualization of samples
• Remove dependencies on packages ptw, signal and MASS
• Add support to open_data collections in config file
• Change default output_dir parameter
• Remove sits_cube_clone() function
• Plot RGB images from raster cubes
• Fixed error in sits_select() for bands in raster cube
• Update examples in demo
• Support open data collections of DEAFRICA and AWS
• Support USGS STAC Landsat 8 catalog
• User can provide resampling method to sits_regularize() function
• Add support to open data collections on ‘AWS’ source
• Remove OPENDATA source
• Update documentation
• Resolve ambiguity in “bands” parameter for data cubes
• Remove “sits_bands” assignment function
• Include “labels” information only on probs and labelled data cubes
• Remove S2_10-1 BDC collection from config
• Other bug fixes

What’s new in SITS version 0.14.1

New features in SITS version 0.14.1-1

• Bug in cube generated by sits_regularize() cannot have “CLOUD” band

New features in SITS version 0.14.1

• Implement new function sits_list_collections()
• Update gdalcubes parameters
• Implement .source_bands_resampling()
• Remove name from demo file
• Improve sits_som_clean_samples() function
• Improve sits_bands<-() function
• Improve sits_select() function
• Error in cloud band of CBERS4 data example
• Include a function to list collections available in cloud services
• sits_cube_copy() does not include information on the tile
• Get spatial resolution from config file
• Fix partial merge configuration file
• Change bbox to roi in sits

What’s new in SITS version 0.14.0

New features in SITS version 0.14.0-2

• fix sits_bbox() function

New features in SITS version 0.14.0-1

• fix duplicate link in AWS STAC

New features in SITS version 0.14.0

• Now the plot of a classified cube requires a legend or a palette if the labels are not in the default sits palette.
• Support for S2-SEN2COR_10_16D_STK-1 BDC collection
• Remove function name from msg in check function
• Add satellite and sensor info in config file
• Remove imager, ranger, proto, and future packages from sits
• Support for different providers to LOCAL sources
• LOCAL source is dynamically built
• Remove sits_cube.local_cube() function parameters satellite and sensor
• Add parameters origin and collection to sits_cube.local_cube() function
• Fix LOCAL source examples and tests

What’s new in SITS version 0.13.1

New features in SITS version 0.13.1

• Update and add more tests in CI
• Implement new check functions
• Change error and warning messages
• fix deprecated warnings in keras package
• bug fixes

What’s new in SITS version 0.13.0-3

New features in SITS version 0.13.0-3

• Update documentation in Machine Learning methods
• Hotfix bug in neuron labelling

What’s new in SITS version 0.13.0-2

New features in SITS version 0.13.0-2

• Bug fixes in BDC MODIS cube

What’s new in SITS version 0.13.0-1

New features in SITS version 0.13.0-1

• Bug fixes in check STAC bands
• Change Landsat-8 (LC8_30-1) product metadata for BDC source

What’s new in SITS version 0.13

New features in SITS version 0.13.0

• Create API for source cube
• Update auxiliary functions of the config file
• Update config file
• Add support to others bands values in config file
• Add support to bit mask in USGS cube
• Support to multiples directories in local cubes
• Support for MODIS cloud bands
• Dealing with invalid areas in SITS
• Support for WTSS

What’s new in SITS version 0.12

New features in SITS version 0.12.1

• Update README
• Change docker image to new sits build
• Adjust CMASK bands values in BDC cubes
• Support for sits_config_sensor_bands accept more than one sensor
• sits cube selection by shapefile
• Problem - sits classify

New features in SITS version 0.12.0

• Bugs fixed
• Documentation updated
• Support for multiple tile in local cubes
• Improve selection using roi parameter in sits_classify() function

What’s new in SITS version 0.11

New features in SITS version 0.11.2

• Added keras serialisation to TempCNN and ResNet models

New features in SITS version 0.11.1

• Removed LSTM and FCN deep learning models

New features in SITS version 0.11.0

• Important improvements in classification performance
• Updated version of deep learning methods
• Support for STAC access to Brazil Data Cube, AWS and DE Africa
• Improved sits validation

What’s new in SITS version 0.10

New features in SITS version 0.10.0

• Version update 0.10.0
• Continuous Integration (drone.io)
• Bayesian smoothing improvement
• Introduces Snow multiprocessing architecture
• cube plot allow region of interest (roi)
• Support for multiple tiles
• Update documentation
• Bugs fix

What’s new in SITS version 0.9

New features in SITS version 0.9.8

• Access to Sentinel-2 level-2A images in AWS
• Access to the Brazil Data Cube using STAC
• Improved raster API
• Code revision with lintr and good practices packages
• Improvement of assertions and code coverage
• Examples and tests generate output in tempdir()

New features in SITS version 0.9.7

• Image classification using region of interest (ROI)

New features in SITS version 0.9.6

• Access and processing of tiles of the Brazil Data Cube
• Plotting of data cube and probability images
• Examples of using SITS with SENTINEL-2 and CBERS-4 images

New features in SITS version 0.9.5

• Time series tibbles and data cube metadata can now be saved and read in SQLite
• Code coverage increased to 95%
• Vignettes have been moved to “sits-docs” to reduce building time

New features in SITS version 0.9.4

• Filtering can be applied to classified images
• Band suffix in filtering is now set to “”
• Improvement in code coverage: most of the code has more than 90% coverage

New features in SITS version 0.9.3

• Improvements in reading shapefiles: using sampling to retrieve time series inside polygons
• Improvement is plotting: uses overloading to the “plot” function

New features in SITS version 0.9.2

• Raster classification results can now have versions: a new parameter “version” has been included in the sits_classify function.

• Corrections to sits_kohonen and to the documentation.

New Features in version 0.9.1

• New deep learning models for time series: 1D convolutional neural networks (sits_FCN), combining 1D CNN and multi-layer perceptron networks (sits_TempCNN), 1D version of ResNet (sits_ResNet), and combination of long-short term memory (LSTM) and 1D CNN (sits_LSTM_FCN).

• New version of area accuracy measures that include Olofsson metrics ()

What’s new in SITS version 0.8

New Features

• From version 0.8 onwards, the package has been designed to work with data cubes. All references to “coverage” have been replaced by references to “cubes”.

• The classification of raster images using sits_classify now produces images with the information on the probability of each class for each pixel. This allows more flexibility in the options for labeling the resulting probability raster files.

• The function sits_label_classification has been introduced to generate a labelled image from the class probability files, with optional smoothing. The choices are smoothing = none (default), smoothing = bayesian (for bayesian smoothing) and smoothing = majority (for majority smoothing).

• To better define a cube, the metadata tibble associated to a cube requires four parameters to define the cube: (a) the web service that provides time series or cubes; (b) the URL of the web service; (c) the name of the satellite; (d) the name of the satellite sensor. If not provided, these parameters are inferred for the sits configuration file.

• The functions that do data transformations, such as sits_tasseled_cap and sits_savi now require a sensor parameter (“MODIS” is the default)

• Functions sits_bands and sits_labels now work for both tibbles with time series and data cubes.

Configuration file

• The SITS configuration file has been improved to include information about web service providers, satellites and sensor parameters. Please use sits_show_config() to see the default contents. Users can override these parameters or add their own by creating a config.yml file in their home directory.

Examples and Demos

• Examples and demos that include classification of raster files now use the inSitu R package, available using devtools::install_github(e-sensing/inSitu).

• All examples have been tested and checked for correctness.

Functions removed

• sits_coverage has been replaced by sits_cube.

• sits_raster_classification has been removed. Please use sits_classify.

• In sits_classify, the parameter out_prefix has been changed to output_dir, to allow better control of the directory on which to write.

• sits_bayes_smooth has been removed. Please use sits_label_classification with smoothing = bayesian.

• To define a cube based on local files, service = RASTER has been replaced by service = LOCALHOST.

Improvements and fixes

• For programmers only: The sits_cube.R file now includes many convenience functions to avoid using cumbersome indexes to files and vector: .sits_raster_params, .sits_cube_all_robjs, .sits_class_band_name, .sits_cube_bands, .sits_cube_service, .sits_cube_file, .sits_cube_files, .sits_cube_labels, .sits_cube_timeline, .sits_cube_robj, .sits_cube_all_robjs, .sits_cube_missing_values, .sits_cube_minimum_values, .sits_cube_maximum_values, .sits_cube_scale_factors, .sits_files_robj. Please look at the documentation provided in the sits_cube.R file.

• For programmers only: The metadata that describes the data cube no longer stores the raster objects associated to the files associated with the cube.