Satellite Image Time Series Analysis for Remote Sensing Data Cubes

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Documentation for package ‘sits’ version 0.16.2

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sits-package sits
%>% Pipe
.raster_gdal_datatypes Match sits data types to GDAL data types
:= Set by reference in data.table
cerrado_2classes Samples of classes Cerrado and Pasture
plot Plot time series
plot.classified_image Plot classified images
plot.keras_model Plot Keras (deep learning) model
plot.patterns Plot patterns that describe classes
plot.predicted Plot time series predictions
plot.probs_cube Plot probability cubes
plot.raster_cube Plot RGB data cubes
plot.sits Plot time series
plot.som_evaluate_cluster Plot confusion between clusters
plot.som_map Plot a SOM map
plot.uncertainty_cube Plot uncertainty cubes
point_mt_6bands A time series sample with data from 2000 to 2016
samples_l8_rondonia_2bands Samples of Amazon tropical forest biome for deforestation analysis
samples_modis_4bands Samples of nine classes for the state of Mato Grosso
sits sits
sits_accuracy Assess classification accuracy (area-weighted method)
sits_accuracy.classified_image Assess classification accuracy (area-weighted method)
sits_accuracy.sits Assess classification accuracy (area-weighted method)
sits_bands Get the names of the bands
sits_bbox Get the bounding box of the data
sits_classify Classify time series or data cubes
sits_classify.raster_cube Classify time series or data cubes
sits_classify.sits Classify time series or data cubes
sits_clustering Find clusters in time series samples
sits_cluster_clean Find clusters in time series samples
sits_cluster_dendro Find clusters in time series samples
sits_cluster_frequency Find clusters in time series samples
sits_config Configure parameters for sits package
sits_configuration Configure parameters for sits package
sits_config_show Configure parameters for sits package
sits_cube Create data cubes from image collections
sits_cube.local_cube Create data cubes from image collections
sits_cube.satveg_cube Create data cubes from image collections
sits_cube.stac_cube Create data cubes from image collections
sits_cube.wtss_cube Create data cubes from image collections
sits_filter Filter time series and data cubes
sits_filters Filter time series and data cubes
sits_formula_linear Define a linear formula for classification models
sits_formula_logref Define a loglinear formula for classification models
sits_get_data Get time series from data cubes and cloud services
sits_impute_linear Replace NA values with linear interpolation
sits_kfold_validate Cross-validate time series samples
sits_labels Get labels associated to a data set
sits_labels<- Change the labels of a set of time series
sits_labels_summary Inform label distribution of a set of time series
sits_label_classification Build a labelled image from a probability cube
sits_list_collections Configure parameters for sits package
sits_merge Merge two data sets (time series or cubes)
sits_metadata_to_csv Export a sits tibble metadata to the CSV format
sits_mlp Train multi-layer perceptron models
sits_mlr Train multinomial log-linear models
sits_patterns Find temporal patterns associated to a set of time series
sits_regularize Build a regular data cube from an irregular one
sits_ResNet Train ResNet classification models
sits_rfor Train random forest models
sits_sample Sample a percentage of a time series
sits_select Filter bands on a data set (tibble or cube)
sits_sgolay Filter time series and data cubes
sits_smooth Smooth probability cubes with spatial predictors
sits_smooth.bayes Smooth probability cubes with spatial predictors
sits_smooth.bilateral Smooth probability cubes with spatial predictors
sits_smooth.gaussian Smooth probability cubes with spatial predictors
sits_som Use SOM for quality analysis of time series samples
sits_som_clean_samples Use SOM for quality analysis of time series samples
sits_som_evaluate_cluster Use SOM for quality analysis of time series samples
sits_som_map Use SOM for quality analysis of time series samples
sits_svm Train support vector machine models
sits_TempCNN Train temporal convolutional neural network models
sits_timeline Get timeline of a cube or a set of time series
sits_time_series Get the time series for a row of a sits tibble
sits_to_xlsx Save accuracy assessments as Excel files
sits_to_zoo Export time series to zoo format
sits_train Train classification models
sits_twdtw_classify Find matches between patterns and time series using TWDTW
sits_uncertainty Estimate classification uncertainty based on probs cube
sits_uncertainty.entropy Estimate classification uncertainty based on probs cube
sits_values Return the values of a set of time series
sits_view View data cubes and samples in leaflet
sits_view.classified_image View data cubes and samples in leaflet
sits_view.raster_cube View data cubes and samples in leaflet
sits_view.sits View data cubes and samples in leaflet
sits_whittaker Filter time series and data cubes
sits_xgboost Train extreme gradient boosting models
_PACKAGE sits
`sits_labels<-` Change the labels of a set of time series