prodes_226_064

<p>A dataset containing a tibble with time series samples for the combination
   of the LANDSAT images for WRS 226/04 with the MOD13Q1 collection 5 images, used
   to fill the gaps where there is too much cloud in the LANDSAT data.
   The data set has the following classes (and samples per class): Deforestation_2014 (146 samples),
   Deforestation_2015 (198 samples), Forest (128 samples), and  Pasture (145 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

prodes_226_064 function

<p>A tibble with 617 rows and 7 variables</p>

Format

Samples of deforestation-related classes for the LANDSAT image WRS 226/064 — prodes_226_064

Samples of deforestation-related classes for the LANDSAT image WRS 226/064

prodes_226_064: Samples of deforestation-related classes for the LANDSAT image WRS 226/064

Description

Usage

Arguments

Format