samples_deforestation_rondonia: Yearly samples of 11 classes on Amazonia biome from...
In e-sensing/sitsdata: Data sets to support examples in sits package
samples_deforestation_rondonia R Documentation
Yearly samples of 11 classes on Amazonia biome from Sentinel-2 images
Description
A dataset containing a tibble with time series samples from Brazilian
Amazonia biome in the Brazilian state of Rondonia to be used
for deforestation and degradation detection.
Usage
data("samples_deforestation_rondonia")
Format
A tibble with 8064 samples, with the following columns:
(a) longitude (East-west coordinate of the time series sample in WGS 84),
(b) latitude (North-south coordinate of the time series sample in WGS 84),
(c) start_date (initial date of the time series),
(d) end_date (final date of the time series),
(e) label (the class label associated to the sample),
(f) cube (the name of image collection associated with the data), and
(g) time_series (list containing a tibble with values of the time series).
The samples contain time series for 8064 selected locations which
are assigned to one of the classes: "Clear_Cut_Bare_Soil",
"Clear_Cut_Burned_Area", "Clear_Cut_Trees", "Clear_Cut_Vegetation",
"Degradation", "Forest", "Mountainside_Forest",
"Riparian_Forest", "Seasonally_Flooded",
"Water", and "Wetland".
Each time series contains values from Sentinel-2/2A
bands B02, B03, B04, B05, B07, B8A, B08, B11, B12
and indices NDVI, EVI and NBR
from 2022-01-05 to 2022-12-23 in 16-day intervals.
e-sensing/sitsdata documentation built on April 17, 2025, 5:32 a.m.
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| samples_deforestation_rondonia | R Documentation |
Yearly samples of 11 classes on Amazonia biome from Sentinel-2 images
Description
A dataset containing a tibble with time series samples from Brazilian Amazonia biome in the Brazilian state of Rondonia to be used for deforestation and degradation detection.
Usage
data("samples_deforestation_rondonia")
Format
A tibble with 8064 samples, with the following columns: (a) longitude (East-west coordinate of the time series sample in WGS 84), (b) latitude (North-south coordinate of the time series sample in WGS 84), (c) start_date (initial date of the time series), (d) end_date (final date of the time series), (e) label (the class label associated to the sample), (f) cube (the name of image collection associated with the data), and (g) time_series (list containing a tibble with values of the time series).
The samples contain time series for 8064 selected locations which are assigned to one of the classes: "Clear_Cut_Bare_Soil", "Clear_Cut_Burned_Area", "Clear_Cut_Trees", "Clear_Cut_Vegetation", "Degradation", "Forest", "Mountainside_Forest", "Riparian_Forest", "Seasonally_Flooded", "Water", and "Wetland". Each time series contains values from Sentinel-2/2A bands B02, B03, B04, B05, B07, B8A, B08, B11, B12 and indices NDVI, EVI and NBR from 2022-01-05 to 2022-12-23 in 16-day intervals.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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