New package sits with initial version 1.3.0
Package: sits
Version: 1.3.0
Title: Satellite Image Time Series Analysis for Earth Observation Data
Cubes
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>
Description: An end-to-end toolkit for land use and land cover classification
using big Earth observation data, based on machine learning methods
applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>.
Builds regular data cubes from collections in AWS, Microsoft Planetary Computer,
Brazil Data Cube, and Digital Earth Africa using the Spatio-temporal Asset Catalog (STAC)
protocol (<https://stacspec.org/> and the 'gdalcubes' R package
developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>.
Supports visualization methods for images and time series and
smoothing filters for dealing with noisy time series.
Includes functions for quality assessment of training samples using self-organized maps
as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>.
Provides machine learning methods including support vector machines,
random forests, extreme gradient boosting, multi-layer perceptrons,
temporal convolutional neu [...truncated...]
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
URL: https://github.com/e-sensing/sits/,
https://e-sensing.github.io/sitsbook/
BugReports: https://github.com/e-sensing/sits/issues
License: GPL-2
ByteCompile: true
LazyData: true
Imports: magrittr, yaml, dplyr (>= 1.0.0), gdalUtilities, grDevices,
graphics, lubridate, parallel (>= 4.0.5), purrr (>= 0.3.0),
Rcpp, rstac (>= 0.9.2-2), sf (>= 1.0), slider (>= 0.2.0),
stats, terra (>= 1.5-17), tibble (>= 3.1), tidyr (>= 1.2.0),
torch (>= 0.9.0), utils
Suggests: caret, dendextend, dtwclust, DiagrammeR, digest, e1071, FNN,
gdalcubes (>= 0.6.0), geojsonsf, ggplot2, httr, jsonlite,
kohonen (>= 3.0.11), leafem (>= 0.2.0), leaflet (>= 2.1.1), luz
(>= 0.3.0), methods, mgcv, openxlsx, randomForest,
randomForestExplainer, RcppArmadillo (>= 0.11), scales, stars
(>= 0.6), testthat (>= 3.1.3), tmap (>= 3.3), torchopt (>=
0.1.2), xgboost, covr
Config/testthat/parallel: false
Config/testthat/start-first: cube, raster, ml
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-03-17 17:11:52 UTC; gilbertocamara
Author: Rolf Simoes [aut],
Gilberto Camara [aut, cre],
Felipe Souza [aut],
Lorena Santos [aut],
Pedro Andrade [aut],
Karine Ferreira [aut],
Alber Sanchez [aut],
Gilberto Queiroz [aut]
Repository: CRAN
Date/Publication: 2023-03-17 18:10:02 UTC
More information about sits at CRAN
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