https://github.com/ajpelu/eftsn_gee

https://github.com/ajpelu/eftsn_gee

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https://github.com/ajpelu/eftsn_gee/blob/main/

# Ecosystem Functional Types for Sierra Nevada (southern Spain) GEE code

[![DOI](https://zenodo.org/badge/587690912.svg)](https://zenodo.org/badge/latestdoi/587690912)

This repository contains the Google Earth Engine (GEEE) code used to compute the Ecosystem Functional Attributes (EFAs) and Ecosystem Functional Types (EFTs) of a specific period (2001-2018) for Sierra Nevada mountain area (southern Spain). For a detailed description see Cazorla et al. 2021. 

This code was used for the generation of the following dataset, which is deposited in PANGAEA: 

> Cazorla BP, Cabello J, Reyes A, Guirado E, Peas J, Prez-Luque AJ, Alcaraz-Segura D. (2019). Ecosystem functioning and functional diversity of Sierra Nevada (SE Spain). University of Almera and Granada, [doi: 10.1594/PANGAEA.904575](https://doi.pangaea.de/10.1594/PANGAEA.904575)

The code could be accessed directly on Google Earth Engine, using this [link](https://code.earthengine.google.com/246dee63522ae557603ab7e44bdbbad5). 

A data Paper with the description of the methods, dataset and study cases is under revision at *Earth System Science Data*. See [here](https://essd.copernicus.org/preprints/essd-2021-223/#discussion)

In addition an app for the visualization of the dataset and the download of the annual maps generated is availabe at [https://obsnev.es/apps/efts_SN.html](https://obsnev.es/apps/efts_SN.html). 

## Credits 
- GEE code authors: D Alcaraz-Segura, J Blanco, C Bagnato, J Cintas, B Cazorla.( CAESCG, University of Almera and Dept. of Botany, University of Granada (Spain)) 

[![DOI](https://zenodo.org/badge/587690912.svg)](https://zenodo.org/badge/latestdoi/587690912)

## Contact 
- [Prez-Cazorla, B.](b.cazorla@ual.es)
- [Alcaraz-Segura, D](mailto:dalcaraz@ugr.es)

## References 
- Cazorla BP, Cabello J, Peas J, Garcilln PP, Reyes A & Alcaraz-Segura D (2021).   Incorporating Ecosystem Functional Diversity into Geographic Conservation Priorities Using Remotely Sensed Ecosystem Functional Types. Ecosystems 24, 548564 (2021). [doi: 10.1007/s10021-020-00533-4](https://doi.org/10.1007/s10021-020-00533-4)

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