Dear R-SIG-GEO, We would like to announce the release of version 1.4.2-1 of the “sits” package. The improvements of this version include:
(a) Support for vector data cubes, including visualisation (b) Object-based time series analysis using spatio-temporal segmentation (c) Improved support for GPU usage when running deep learning algorithms (d) New function to clean values by modal filter in classified images (e) Experimental support for Sentinel-1 images available on MPC (f) Improve summary function to include cloud cover information (g) General bug fixes “sits” is a long-term project for improving land use and land cover classification using big EO data. The package provides an end-to-end environment for LUCC analysis. Users are supported by an on-line book (https://e-sensing.github.io/sitsbook/). It has reached TRL 9 status, being used operational for LUCC mapping in large areas of Brazil. Such an ambitious endeavour would not be possible without the substantial contribution of the R-SIG-GEO community, including but not limited to the following experts: - Daniel Baston for “exactextractr” - David Cooley for “geojsonsf" - Edzer Pebesma for “sf/stars” - Jakub Nowosad for “supercells” = Joshua O’Brien for “gdalUtilities" - Marius Appel for “gdalcubes” - Martijn Tennekes for “tmap” - Robert Hijmans for “terra”, - Tim Appelhans for “leafem” Many thanks to all of you, and most especially to Roger, an inspiration to us all. All the best Gilberto ============================ Prof Dr Gilberto Camara Senior Researcher National Institute for Space Research (INPE), Brazil https://gilbertocamara.org/ ============================= _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
