uav_meteo
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: serpam
- Language: R
- Default Branch: main
- Size: 371 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Visualization of Weather Conditions during UAV (Drone) Flights
This application allows you to visualize the meteorological data recorded during drone flights conducted by SERPAM (Deparment of Assesment, Restoration and Protection of Mediterranean Agrosystems) at the Experimental Station of Zaidin, CSIC (EEZ-CSIC). The application has been developed in the context of the SUMHAL project, which focuses on Sustainability for Mediterranean Hostposts integrating LifeWatch ERIC.
How it works?
You can run the live app in this link
You also could donwload the repo here, and run the app inside Rstudio. For this purpose, after the donwload the repository and unzziped it, run the file
app.R
r
source("app.R")
SERPAM-EEZ team:
- Ana Belén Robles Cruz
- Maria Eugenia Ramos Font

- Mauro J. Tognetti Barbieri
- Antonio J. Pérez-Luque
Developer:
Project
- MICINN through European Regional Development Fund SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020. More info about the SUMHAL project (Sustainability for Mediterranean Hotspots in Andalusia integrating LifeWatch ERIC).
How to cite:
Pérez-Luque, AJ; Tognetti Barbieri, MJ; Ramos-Font, ME & Robles Cruz AB. (2023). Visualization of Weather Conditions during UAV (Drone) Flights. Versión 0.1. https://github.com/serpam/uav_meteo. doi: 10.5281/zenodo.8402099
``` @misc{PerezLuque2023, title = {Visualization of Weather Conditions during UAV (Drone) Flights}, author = {Pérez-Luque, Antonio Jesús and Toggnetti Barbieri, Mauro José and Ramos-Font, Maria Eugenia and Robles Cruz, Ana Belén}, year = {2023}, url = {https://github.com/serpam/uav_meteo}, version = {1.0} doi = {10.5281/zenodo.8402099} }
```
Owner
- Name: SERPAM-EEZ
- Login: serpam
- Kind: organization
- Location: Spain
- Website: https://www.eez.csic.es/es/evaluacion-restauracion-y-proteccion-de-agrosistemas-mediterraneos-serpam
- Twitter: SERPAM_EEZ
- Repositories: 22
- Profile: https://github.com/serpam
Servicio de Evaluación, Restauración y Protección de Agrosistemas Mediterráneos
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Visualization of Weather Conditions during UAV (Drone) Flights
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- orcid: 'https://orcid.org/0000-0002-1747-0469'
given-names: Antonio Jesús
family-names: Pérez-Luque
email: ajpelu@gmail.com
- given-names: Mauro José
family-names: Toggnetti Barbieri
- given-names: Maria Eugenia
family-names: Ramos-Font
- given-names: Ana Belén
family-names: Robles Cruz
identifiers:
- type: url
value: 'https://github.com/serpam/uav_meteo'
repository-code: 'https://github.com/serpam/uav_meteo'
abstract: >-
This application allows you to visualize the meteorological
data recorded during drone flights conducted by SERPAM
(Deparment of Assesment, Restoration and Protection of
Mediterranean Agrosystems) CSIC (EEZ-CSIC).
keywords:
- UAV
- weather conditions
- visualization
license: MIT
version: '1.0'
doi: 10.5281/zenodo.8402099
date-released: '2023-05-06'