.stac_items_query

source

Collection to be searched in the data source

collection

name

bands

Tiles from the collection to be included in the
data cube

tiles

bbox

Initial date for the cube (optional).

start_date

Final date for the cube (optional).

end_date

limit items to be returned in requisition.

limit

Creates a query using rstac package to send to STAC API.

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.

.stac_items_query: Creates a query to send to STAC api

Description

Usage

Arguments

Value