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README.Rmd
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---
output:
github_document:
toc: no
fig_caption: no
---
<!-- IMPORTANT: do NOT edit README.Rmd! Edit index.Rmd instead, -->
<!-- and generate README.Rmd using utils/code/create_README.sh -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
[](https://cran.r-project.org/package=sen2r)
[](https://doi.org/10.5281/zenodo.1240384)
[](https://cran.rstudio.com/web/packages/ggplot2/index.html)
[](https://github.com/ranghetti/sen2r/actions/workflows/R-CMD-check.yaml)
[](http://codecov.io/github/ranghetti/sen2r?branch=main)
[](https://hub.docker.com/r/ranghetti/sen2r)
[](http://www.gnu.org/licenses/gpl-3.0)
[](blob/main/.github/CODE-OF-CONDUCT.md)
<img src="man/figures/sen2r_logo_200px.png" width="200" height="113" align="right" />
# sen2r: Find, Download and Process Sentinel-2 Data
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
is an R library which helps to download and preprocess Sentinel-2 optical images.
The purpose of the functions contained in the library is to provide the instruments
required to easily perform (and eventually automate) all the steps necessary
to build a complete Sentinel-2 processing chain, without the need of any manual
intervention nor the needing to manually integrate any external tool.
In particular,
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
allows to:
* retrieve the list of available products on a selected area
(which can be provided by specifying a bounding box, by loading a vector file
or by drawing it on a map) in a given time window;
* download the required SAFE Level-1C products, or
retrieve the required SAFE Level-2A products by downloading them (if available)
or downloading the corresponding Level-1C and correcting them with **Sen2Cor**;
* obtain the required products (Top of Atmosphere radiances, Bottom of Atmosphere
reflectances, Surface Classification Maps, True Colour Images) clipped on the
specified area (adjacent tiles belonging to the same frame are merged);
* mask cloudy pixels (using the Surface Classification Map as masking layer);
* computing spectral indices and RGB images.
**New feature**: starting from version 1.5.0,
Sentinel-2 SAFE archives can be downloaded both from official
[Copernicus Open Access Hub](https://scihub.copernicus.eu/) or from
[Google Cloud Sentinel-2 bucket](https://cloud.google.com/storage/docs/public-datasets/sentinel-2)
(this option can be useful to bypass limitations of ESA Long Term Archive
retention time; refer to [this post](https://luigi.ranghetti.info/post/safe-gcloud/) for details).
Setting the execution of this processing chain is particularly easy using the
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
GUI, which allows to set the parameters, to directly launch the main function
or to save them in a JSON file which can be used to launch the processing at a later stage.
The possibility to launch the processing with a set of parameters saved in a JSON file
(or directly passed as function arguments) makes easy to build scripts to
automatically update an archive of Sentinel-2 products.
Specific processing operations (i.e. applying **Sen2Cor** on Level-1c SAFE products,
merging adjacent tiles, computing spectral indices from existing products)
can also be performed using intermediate functions (see [usage](#usage)).
<a href="https://www.sciencedirect.com/science/article/pii/S0098300419304893" target="_blank"><img style="margin-right:20px;" src="data:image/gif;base64,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" width="120" height="160" align="left" /></a>
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
was published on the ISI journal *Computers \& Geosciences*; the manuscript is available here:
<a href="https://www.sciencedirect.com/science/article/pii/S0098300419304893" target="_blank">
L.\ Ranghetti, M.\ Boschetti, F.\ Nutini, L.\ Busetto (2020).
<strong>"sen2r: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data"</strong>.
<em>Computers \& Geosciences</em>, 139, 104473.
doi: 10.1016/j.cageo.2020.104473,
URL: https://sen2r.ranghetti.info
</a>.
Users which processed Sentinel-2 data and used them for a scientific work
are strongly encouraged to cite this publication within their work (see [Credits](#credits)).
## Installation
The package can be installed from CRAN:
```{r, eval = FALSE}
install.packages("sen2r", dependencies = TRUE)
```
For detailed instructions about installing the package (including dependencies),
see the [Installation](https://sen2r.ranghetti.info/articles/installation.html) page.
A dockerised version of <span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span> is available [here](https://hub.docker.com/r/ranghetti/sen2r).
For detailed instructions about using it, see the page ["Run in a Docker container"](https://sen2r.ranghetti.info/articles/docker.html).
## Usage
The simplest way to use
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
is to execute it in interactive mode (see [this vignette](https://sen2r.ranghetti.info/articles/sen2r_gui.html)):
```{r, eval = FALSE}
library(sen2r)
sen2r()
```
<p style="text-align:center;">
<a href="https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_gui_sheet1.png" target="_blank">
<img src="man/figures/sen2r_gui_sheet1_small.png">
</a>
<a href="https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_gui_sheet2.png" target="_blank">
<img src="man/figures/sen2r_gui_sheet2_small.png">
</a>
<br/>
<a href="https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_gui_sheet3.png" target="_blank">
<img src="man/figures/sen2r_gui_sheet3_small.png">
</a>
<a href="https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_gui_sheet4.png" target="_blank">
<img src="man/figures/sen2r_gui_sheet4_small.png">
</a>
<a href="https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_gui_sheet5.png" target="_blank">
<img src="man/figures/sen2r_gui_sheet5_small.png">
</a>
</p>
Alternatively,
[`sen2r()`](https://sen2r.ranghetti.info/reference/sen2r.html)
can be launched with a list of parameters (created with
[`s2_gui()`](https://sen2r.ranghetti.info/reference/s2_gui.html))
or passing manually the parameters as arguments of the function
(see [this vignette](https://sen2r.ranghetti.info/articles/sen2r_cmd.html) for further details).
Other specific functions can be used to run single steps separately.
This is a list of the principal processing functions
(the complete list can be found in the Reference page):
* [`s2_list()`](https://sen2r.ranghetti.info/reference/s2_list.html)
to retrieve the list of available Sentinel-2 products based on input parameters;
* [`s2_download()`](https://sen2r.ranghetti.info/reference/s2_download.html)
to download Sentinel-2 products;
* [`s2_order()`](https://sen2r.ranghetti.info/reference/s2_order.html)
to order products from the Long Term Archive;
* [`sen2cor()`](https://sen2r.ranghetti.info/reference/sen2cor.html)
to correct level-1C products using [Sen2Cor](http://step.esa.int/main/snap-supported-plugins/sen2cor/);
* [`s2_mask()`](https://sen2r.ranghetti.info/reference/s2_mask.html)
to apply a cloud mask to Sentinel-2 products;
* [`s2_rgb()`](https://sen2r.ranghetti.info/reference/s2_rgb.html)
to generate RGB images from Sentinel-2 Surface Reflectance multiband raster files;
* [`s2_calcindices()`](https://sen2r.ranghetti.info/reference/s2_calcindices.html)
to compute maps of spectral indices from Sentinel-2 Surface Reflectance multiband raster files.
Output products follow a specific naming convention (see [here](https://sen2r.ranghetti.info/articles/outstructure.html) for details).
## Credits
<a href="http://www.irea.cnr.it" target="_blank"> <img src="man/figures/irea_logo_200px.png" height="100" align="left" style="padding-right: 100px;"/></a>
<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span>
is being developed by Luigi Ranghetti and Lorenzo Busetto
([IREA-CNR](http://www.irea.cnr.it)),
and it is released under the [GNU General Public License version 3](https://www.gnu.org/licenses/gpl-3.0.html) (GPL‑3).
The [<span style="color:#5793dd;vertical-align:top;font-size:90%;font-weight:normal;">sen</span><span style="color:#6a7077;vertical-align:baseline;font-size:115%;font-weight:bolder;">2</span><span style="color:#2f66d5;vertical-align:baseline;font-size:90%;font-weight:bold;">r</span> logo](https://github.com/ranghetti/sen2r/raw/main/man/figures/sen2r_logo_200px.png),
partially derived from the [R logo](https://www.r-project.org/logo),
is released under the [Creative Commons Attribution-ShareAlike 4.0 International license](https://creativecommons.org/licenses/by-sa/4.0) (CC-BY-SA 4.0).
To cite this library, please use the following entry:
L.\ Ranghetti, M.\ Boschetti, F.\ Nutini, L.\ Busetto (2020).
**"sen2r: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data"**.
*Computers \& Geosciences*, 139, 104473.
doi: <a href="https://dx.doi.org/10.1016/j.cageo.2020.104473" target="_blank">10.1016/j.cageo.2020.104473</a>,
URL: <a href="https://sen2r.ranghetti.info" target="_blank">https://sen2r.ranghetti.info</a>.
```bibtex
@Article{sen2r_cageo,
title = {sen2r: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data},
author = {Luigi Ranghetti and Mirco Boschetti and Francesco Nutini and Lorenzo Busetto},
journal = {Computers & Geosciences},
year = {2020},
volume = {139},
pages = {104473},
doi = {10.1016/j.cageo.2020.104473},
url = {https://sen2r.ranghetti.info/},
}
```
## Contributing
This project is released with a [Contributor Code of Conduct](blob/main/.github/CODE-OF-CONDUCT.md).
By participating in this project you agree to abide by its terms.
Users are encouraged to use GitHub issues in case of errors with the package.
Before opening a new issue, please read
<a href="https://github.com/ranghetti/sen2r/issues/186" target="_blank">these notes</a>.