sits_bbox

Valid sits tibble (time series or a cube).

data

Take effect only for data cubes.
Reproject bbox to WGS84 (EPSG:4326).

wgs84

Additional parameters (not implemented).

Obtain a vector of limits (either on lat/long for time series
 or in projection coordinates in the case of cubes)

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Builds data cubes from collections in AWS, Brazil Data Cube, and Digital Earth Africa.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Includes functions for smoothing based on Bayesian inference.
Enables different clustering methods, including dendrograms and self-organized maps (SOM).
Matches noiseless patterns with noisy time series using the time-weighted dynamic time warping (TWDTW) method for shape recognition.
Provides machine learning methods for time series classification, including support vector machines (SVM), random forests and deep learning.
Minimum recommended requirements: 8 GB RAM and 1 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Remote Sensing Data Cubes

sits_bbox: Get the bounding box of the data

Description

Usage

Arguments

Value