samples_mt_6bands

<p>A dataset containing a tibble with time series samples
  for the Mato Grosso state in Brasil.
  The time series come from MOD13Q1 collection 6 images.
  The data set has the following classes:
  Cerrado, Fallow_Cotton, Forest, Pasture,
  Soy_Corn, Soy_Cotton, Soy_Fallow,
  Soy_Millet, and Soy_Sunflower.</p>

datasets

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

samples_mt_6bands function

<p>A tibble with 425 rows and 7 variables:
  longitude: East-west coordinate of the time series sample (WGS 84),
  latitude (North-south coordinate of the time series sample in WGS 84),
  start_date (initial date of the time series),
  end_date (final date of the time series),
  label (the class label associated to the sample),
  cube (the name of the cube associated with the data),
  time_series (list containing a tibble with the values of the time series).</p>

Format

Samples of nine classes for the state of Mato Grosso — samples_mt_6bands

Samples of nine classes for the state of Mato Grosso

samples_mt_6bands: Samples of nine classes for the state of Mato Grosso

Description

Usage

Arguments

Format