Other packages > Find by keyword >

sits  

Satellite Image Time Series Analysis for Earth Observation Data Cubes
View on CRAN: Click here


Download and install sits package within the R console
Install from CRAN:
install.packages("sits")

Install from Github:
library("remotes")
install_github("cran/sits")

Install by package version:
library("remotes")
install_version("sits", "1.5.2")



Attach the package and use:
library("sits")
Maintained by
Gilberto Camara
[Scholar Profile | Author Map]
First Published: 2022-05-19
Latest Update: 2023-11-02
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 neural networks proposed by Pelletier et al (2019) <doi:10.3390/rs11050523>, residual networks by Fawaz et al (2019) <doi:10.1007/s10618-019-00619-1>, and temporal attention encoders by Garnot and Landrieu (2020) <doi:10.48550/arXiv.2007.00586>. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference, and methods for uncertainty assessment. Enables best practices for estimating area and assessing accuracy of land change as recommended by Olofsson et al (2014) <doi:10.1016/j.rse.2014.02.015>. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.
How to cite:
Gilberto Camara (2022). sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes. R package version 1.5.2, https://cran.r-project.org/web/packages/sits. Accessed 28 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-05-19 09:00), 1.1.0 (2022-07-07 22:00), 1.2.0 (2022-11-16 20:20), 1.3.0 (2023-03-17 19:10), 1.4.0 (2023-05-17 18:50), 1.4.1 (2023-06-13 00:50), 1.4.2-1 (2023-11-02 16:10), 1.4.2 (2023-10-28 16:50), 1.5.0 (2024-05-09 21:00), 1.5.1 (2024-08-19 23:50)
Other packages that cited sits R package
View sits citation profile
Other R packages that sits depends, imports, suggests or enhances
Complete documentation for sits
Functions, R codes and Examples using the sits R package
Some associated functions: cerrado_2classes . dot-check_date_parameter . plot.class_cube . plot.class_vector_cube . plot.geo_distances . plot . plot.patterns . plot.predicted . plot.probs_cube . plot.probs_vector_cube . plot.raster_cube . plot.rfor_model . plot.sits_accuracy . plot.sits_cluster . plot.som_evaluate_cluster . plot.som_map . plot.torch_model . plot.uncertainty_cube . plot.variance_cube . plot.vector_cube . plot.xgb_model . point_mt_6bands . print.sits_accuracy . print.sits_area_accuracy . samples_l8_rondonia_2bands . samples_modis_ndvi . sits-package . sits_accuracy . sits_accuracy_summary . sits_apply . sits_as_sf . sits_bands . sits_bbox . sits_classify . sits_cluster_clean . sits_cluster_dendro . sits_cluster_frequency . sits_colors . sits_colors_qgis . sits_colors_reset . sits_colors_set . sits_colors_show . sits_combine_predictions . sits_confidence_sampling . sits_config . sits_config_show . sits_cube . sits_cube_copy . sits_factory_function . sits_filter . sits_formula_linear . sits_formula_logref . sits_geo_dist . sits_get_data . sits_kfold_validate . sits_label_classification . sits_labels . sits_labels_summary . sits_lighttae . sits_list_collections . sits_merge . sits_mixture_model . sits_mlp . sits_model_export . sits_mosaic . sits_patterns . sits_pred_features . sits_pred_normalize . sits_pred_reference . sits_pred_sample . sits_predictors . sits_reclassify . sits_reduce_imbalance . sits_regularize . sits_resnet . sits_rfor . sits_run_examples . sits_run_tests . sits_sample . sits_segment . sits_select . sits_sgolay . sits_show_prediction . sits_slic . sits_smooth . sits_som . sits_som_clean_samples . sits_som_evaluate_cluster . sits_stats . sits_svm . sits_tae . sits_tempcnn . sits_timeline . sits_to_csv . sits_to_xlsx . sits_train . sits_tuning . sits_tuning_hparams . sits_uncertainty . sits_uncertainty_sampling . sits_validate . sits_variance . sits_view . sits_whittaker . sits_xgboost . summary.class_cube . summary.raster_cube . summary.sits . summary.sits_accuracy . summary.sits_area_accuracy . tick-sits_labels-set-tick . 
Some associated R codes: RcppExports.R . api_accessors.R . api_accuracy.R . api_apply.R . api_band.R . api_bbox.R . api_block.R . api_check.R . api_chunks.R . api_classify.R . api_clean.R . api_cluster.R . api_colors.R . api_combine_predictions.R . api_comp.R . api_conf.R . api_csv.R . api_cube.R . api_data.R . api_debug.R . api_download.R . api_factory.R . api_file.R . api_file_info.R . api_gdal.R . api_gdalcubes.R . api_imputation.R . api_jobs.R . api_label_class.R . api_mixture_model.R . api_ml_model.R . api_mosaic.R . api_parallel.R . api_period.R . api_plot_raster.R . api_plot_time_series.R . api_plot_vector.R . api_point.R . api_predictors.R . api_raster.R . api_raster_sub_image.R . api_raster_terra.R . api_reclassify.R . api_regularize.R . api_roi.R . api_s2tile.R . api_samples.R . api_segments.R . api_sf.R . api_shp.R . api_signal.R . api_smooth.R . api_smote.R . api_som.R . api_source.R . api_source_aws.R . api_source_bdc.R . api_source_deafrica.R . api_source_hls.R . api_source_local.R . api_source_mpc.R . api_source_sdc.R . api_source_stac.R . api_source_usgs.R . api_space_time_operations.R . api_stac.R . api_stats.R . api_summary.R . api_tibble.R . api_tile.R . api_timeline.R . api_torch.R . api_torch_psetae.R . api_ts.R . api_tuning.R . api_uncertainty.R . api_utils.R . api_values.R . api_variance.R . api_vector.R . api_vector_info.R . api_view.R . data.R . sits-package.R . sits_accuracy.R . sits_active_learning.R . sits_apply.R . sits_bands.R . sits_bbox.R . sits_classify.R . sits_cluster.R . sits_colors.R . sits_combine_predictions.R . sits_config.R . sits_csv.R . sits_cube.R . sits_cube_copy.R . sits_factory.R . sits_filters.R . sits_geo_dist.R . sits_get_data.R . sits_label_classification.R . sits_labels.R . sits_lighttae.R . sits_machine_learning.R . sits_merge.R . sits_mixture_model.R . sits_mlp.R . sits_model_export.R . sits_mosaic.R . sits_patterns.R . sits_plot.R . sits_predictors.R . sits_reclassify.R . sits_regularize.R . sits_resnet.R . sits_sample_functions.R . sits_segmentation.R . sits_select.R . sits_sf.R . sits_smooth.R . sits_som.R . sits_summary.R . sits_tae.R . sits_tempcnn.R . sits_timeline.R . sits_train.R . sits_tuning.R . sits_uncertainty.R . sits_utils.R . sits_validate.R . sits_variance.R . sits_view.R . sits_xlsx.R . zzz.R .  Full sits package functions and examples
Downloads during the last 30 days
03/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/27Downloads for sits05101520253035TrendBars

Today's Hot Picks in Authors and Packages

MOQA  
Basic Quality Data Assurance for Epidemiological Research
With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) ...
Download / Learn more Package Citations See dependency  
meanShiftR  
A Computationally Efficient Mean Shift Implementation
Performs mean shift classification using linear and k-d tree based nearest neighbor implementations ...
Download / Learn more Package Citations See dependency  
rFSA  
Feasible Solution Algorithm for Finding Best Subsets and Interactions
Assists in statistical model building to find optimal and semi-optimal higher order interactions an ...
Download / Learn more Package Citations See dependency  
extendedFamily  
Additional Families for Generalized Linear Models
Creates family objects identical to stats family but for new links. ...
Download / Learn more Package Citations See dependency  
DRviaSPCN  
Drug Repurposing in Cancer via a Subpathway Crosstalk Network
A systematic biology tool was developed to repurpose drugs via a subpathway crosstalk network. The o ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,176

Author Associations

24,143

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA