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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# groveR <img src="man/figures/tree_logo_small.png" align="right" style="padding-left:10px;background-color:white;" />
<!-- badges: start -->
[](https://www.repostatus.org/#unsupported)
[](https://www.tidyverse.org/lifecycle/#stable)
[](https://github.com/dbca-wa/groveR/issues/)
[](https://github.com/dbca-wa/groveR/commits/master)
[](https://github.com/dbca-wa/groveR/)
[](https://doi.org/10.5281/zenodo.14676717)
<!-- badges: end -->
The goal of `groveR` is to bring together a standard work flow that utilises satellite data to monitor mangroves. It focuses on taking annual satellite data through a number of processing steps to produce useful vegetation cover and change metrics.
## Installation
You can install the released version of `groveR` from [GitHub](https://github.com/dbca-wa) with:
``` r
# install.packages("devtools")
devtools::install_github("dbca-wa/groveR")
library(groveR)
```
## Help Files
All functions within `groveR` have the usual R help files, however the best place to see these and some vignettes is the [groveR website](https://dbca-wa.github.io/groveR/index.html)