Releases: e-sensing/sits
Releases · e-sensing/sits
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
Version 1.4.1
What's new 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
Version 1.4.0
What's new in SITS version 1.4.0
- New function for image segementation 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