samples_l8_rondonia_2bands: Samples of Amazon tropical forest biome for deforestation...
In sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes
samples_l8_rondonia_2bands R Documentation
Samples of Amazon tropical forest biome for deforestation analysis
Description
A sits tibble with time series samples from Brazilian Amazonia rain forest.
The labels are: "Deforestation", "Forest", "NatNonForest" and "Pasture".
The time series were extracted from the Landsat-8 BDC data cube
(collection = "LC8_30_16D_STK-1", tiles = "038047").
These time series comprehends a period of 12 months
(25 observations) from "2018-07-12" to "2019-07-28".
The extracted bands are NDVI and EVI.
Cloudy values were removed and interpolated.
Usage
data("samples_l8_rondonia_2bands")
Format
A sits tibble with 160 samples.
sits documentation built on Nov. 2, 2023, 5:59 p.m.
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.
| samples_l8_rondonia_2bands | R Documentation |
Samples of Amazon tropical forest biome for deforestation analysis
Description
A sits tibble with time series samples from Brazilian Amazonia rain forest.
The labels are: "Deforestation", "Forest", "NatNonForest" and "Pasture".
The time series were extracted from the Landsat-8 BDC data cube (collection = "LC8_30_16D_STK-1", tiles = "038047"). These time series comprehends a period of 12 months (25 observations) from "2018-07-12" to "2019-07-28". The extracted bands are NDVI and EVI. Cloudy values were removed and interpolated.
Usage
data("samples_l8_rondonia_2bands")
Format
A sits tibble with 160 samples.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.