source_item_get_functions

.source_item_get_date

.source_item_get_hrefs

.source_item_get_bands

.source_item_get_resolutions

Data source (one of "SATVEG", "LOCAL", "BDC", "AWS",
"USGS", "DEAFRICA", "PROBS").

source

Collection to be searched in the data source.

collection

a <code>STACItemCollection</code> object returned by rstac.

items

Generic function for retrieving information in item returned by
 APIs. The concept of items is used in STAC APIs, where each item corresponds
 to a satellite image (scene), with a single time and multiple bands.

internal

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

Rolf Simoes

Felipe Souza

Lorena Santos

Alexandre Carvalho

Pedro Andrade

Karine Ferreira

Alber Sanchez

Gilberto Queiroz

source_item_get_functions function

Function for retrieving information from a single item — source_item_get_functions

Function for retrieving information from a single item

source_item_get_functions: Function for retrieving information from a single item

Description

Usage

Arguments

Value