Releases: e-sensing/sits
Releases ยท e-sensing/sits
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 withearthdatalogin
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 tohttr2
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 mergingSAR
andOPTICAL
cubes - In models API, the
n_input_pixels
parameter was renamed back toinput_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 mergingSAR
andOPTICAL
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()
andsits_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
Version 1.3.0
What's new 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