Version 1.5.3-1

Hotfix version 1.5.3-1

• Improve documentation for sits_labels
• Improve documentation for sits_train
• Improve documentation of roi parameter in sits_mosaic and sits_plot
• Improve sits_accuracy messages when results are empty
• Update TAE implementation to make better use of embeddings
• Fix MPC token management in sits_cube_copy
• Fix error in message for missing colors
• Fix division by zero error in sits_texture
• Add res parameter in sits_mosaic

Version 1.5.3

What's new in SITS version 1.5.3

• Introduce a Python API for SITS (pysits)
• New version of the documentation on code and SITS Book
• 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

Version 1.5.2

What's new in SITS version 1.5.2

• 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

Version 1.5.1

What's new in SITS version 1.5.1

• 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 with earthdatalogin package
• 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
• In models API, the n_input_pixels parameter was renamed 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

Version 1.5.0-1

Hotfix version 1.5.0-1

• 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 by turning off MPS technology
• Fix date parameter usage in sits_view()
• Improve plot() performance using raster overviews
• Include support for PLANET Mosaic product

Version 1.5.0

What's new in SITS version 1.5.0

• Include dtw distance when building SOM maps
• 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

Version 1.4.2-3

Hotfix version 1.4.2-3

• Fix font download in package initialization

Version 1.4.2-2

Hotfix version 1.4.2-2

• Fix integer overflow bug in sits_classify() segments

Version 1.4.2-1

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

Version 1.4.2

What's new 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