DESCRIPTION

Package: rondonia20LMR
Type: Package
Title: A data set to test ML/DL algorithms for deforestation mapping
Version: 0.0.3
Date: 2024-11-09
Authors@R: c(person('Gilberto', 'Camara', role = c('aut', 'cre'), email = 'gilberto.camara@inpe.br'),
             person('Felipe', 'Souza', role = c('aut'), email = 'filipe.souza@inpe.br'))
Maintainer: Gilberto Camara <gilberto.camara@inpe.br>
Description: This project contains a data cube to test ML/DL algorithms 
    for mapping tropical deforestation. It contains a data cube and a set of samples.
    The data cube is a regularized set of Sentinel-2 images for tile 20LMR, 
    covering a part of the Rondonia state in the Brazilian Amazonia. 
    The cube contains images from bands B02, B03, B04, B05, B07, 
    B8A, B08, B11, B12 from 2022-01-05 to 2022-12-23 in 16-day intervals.
    The samples contain time series for 792 selected locations which are assigned to 
    one of the classes "Clear_Cut_Bare_Soil", "Clear_Cut_Burned_Area", 
    "Mountainside_Forest", "Forest", "Riparian_Forest", 
    "Clear_Cut_Vegetation", "Water", "Wetland", and "Seasonally_Flooded". 
    This version requires sits 1.4.0.
Depends: R (>= 4.0)
URL: https://github.com/e-sensing/sitsdata/
BugReports: https://github.com/e-sensing/sitsdata/issues
License: GPL-2 | file LICENSE
Imports:
    tibble,
    sits
ByteCompile: true
LazyData: true
Encoding: UTF-8
Collate:
    'bayes_paper_code.R'
    'data.R'
    'demo_pixel_classification.R'
RoxygenNote: 7.2.3