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index.Rmd
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---
output: github_document
highlight: pygments
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# prismaread <a href='https://github.com/irea-cnr-mi/prismaread'><img src='man/figures/logo.png' align="right" height="139" /></a>
<!-- badges: start -->
[](https://travis-ci.org/irea-cnr-mi/prismaread)
[](https://www.tidyverse.org/lifecycle/#beta)
[](https://doi.org/10.5281/zenodo.4019081)
[](https://codecov.io/gh/irea-cnr-mi/prismaread)
<!-- badges: end -->
`prismaread` allows easily importing PRISMA hyperspectral data (http://www.prisma-i.it/index.php/it/) from the original data provided by ASI in HDF format, and convert them to a easier to use format (ENVI or GeoTiff). It also provides functionality for automatically computing Spectral Indexes from either the original HDF data or from hyperspectral data already converted using function `pr_convert`, and for easily and quickly extracting data and computing statistics for the different bands over areas of interest.
<a href="http://www.irea.cnr.it/en/"> <img src="man/figures/logo_irea.png" height="60" align="left" style="vertical-align:middle;margin:0px 10px"/></a>
_`prismaread` was developed by Lorenzo Busetto,
[Institute of Remote Sensing of Environment](http://www.irea.cnr.it/en/) - National Research Council - Italy (CNR-IREA)_
Lorenzo maintained `prismaread` until 21st October 2020, when
[he suddenly passed away](https://docs.ropensci.org/MODIStsp/articles/lorenzo.html).
**Currently the package development is frozen.**
If you need help, please refer to the package documentation at
[irea-cnr-mi.github.io/prismaread](https://irea-cnr-mi.github.io/prismaread).
# Installation
You can install `prismaread` from [GitHub](https://github.com/) using:
``` {r install, eval=FALSE}
# install.packages("remotes")
remotes::install_github("irea-cnr-mi/prismaread")
library(prismaread)
```
# Usage
See the __Articles__ section of the website for detailed info on usage.
- Instructions for importing PRISMA [__L1__](articles/Importing-Level-1-Data.html) and
[__L2__](articles/Importing-Level-2-Data.html)
- Instructions for [computing spectral indexes](articles/Computing-Spectral-Indexes)
- Info about [Output format and Naming Conventions](articles/Output-Format-and-Naming.html)
- Instructions for [extracting Data from PRISMA images over features of a vector dataset](articles/Extracting-data-over-vector.html)
# Future Work
- Improve speed of writing FULL hyperspectral cubes
- Clean up code
## Citation
To cite `prismaread` please use:
Busetto, L., Ranghetti, L. (2020) prismaread: A tool for facilitating access and analysis of PRISMA L1/L2 hyperspectral imagery v1.0.0, URL: https://irea-cnr-mi.github.io/prismaread/, doi: https://doi.org/10.5281/zenodo.4019081