samples_mt_ndvi

<p>A dataset containing a tibble with time series samples for the Mato Grosso state in Brasil.
  The time series come from MOD13Q1 collection 5 images. The data set has the following classes:
  Cerrado(400 samples), Fallow_Cotton (34 samples), Forest (138 samples), Pasture (370 samples),
  Soy-Corn (398 samples),  Soy-Cotton (399 samples), Soy_Fallow (88 samples),
  Soy_Millet (235 samples), and Soy_Sunflower (53 samples).</p>

datasets

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

samples_mt_ndvi function

<p>A tibble with 2115 rows and 7 variables: (a) 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),
  coverage (the name of the coverage 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 for the NDVI band — samples_mt_ndvi

Samples of nine classes for the state of Mato Grosso for the NDVI band

samples_mt_ndvi: Samples of nine classes for the state of Mato Grosso for the NDVI band

Description

Usage

Arguments

Format