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uavine

Introducing a novel hyperspectral and RGB UAV image dataset acquired over a vineyard.

https://github.com/aelsaer/uavine

Science Score: 44.0%

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Repository

Introducing a novel hyperspectral and RGB UAV image dataset acquired over a vineyard.

Basic Info
  • Host: GitHub
  • Owner: aelsaer
  • License: bsd-3-clause
  • Default Branch: main
  • Size: 146 KB
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  • Watchers: 1
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Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

UAVINE

Introducing a novel hyperspectral and RGB UAV image dataset acquired over a vineyard. The UAVINE dataset contains hyperspectral images, RGB images and GNSS ground measurements of a 7 km2 vineyard which is located on the Korinthos region (37°57'18.0"N 22°46'19.6"E), at Peloponnese, Greece. The dataset was collected on three different days: Day 1- 24 June, Day 2- 11 July and Day 3- 31 July, 2023. Hyperspectral images folder includes three subfolders: Day 1, Day 2 and Day 3. On each subfolder are contained 36 files. The vineyard was captured on 12 flight lines. The 12 images are in .dat format. Each .dat file is accompanied with a .hdr file and a .txt file. Hyperspectral image are geometric and radiometric corrected. RGB images folder consists of three subfolders: Day 1, Day 2 and Day 3. Each subfolder includes the total of the RGB images collected on each day in .jpg format. GNSS folder contains a .txt file with the coordinates of the 9 points measured within the vineyard on the Day 1 in WGS 84 Coordinate system, as well as an image with the location of that points.

The images are licensed under BSD-3-Clause license. The contents of this repository are released under the license.

Sample Hyperspecral images: HI1.jpg & HI2.jpg

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Sample RGB images: RGB1.jpg

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GNSS points location: GNSSLocations.jpg

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You may download the data here.

Owner

  • Login: aelsaer
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
dataset title: UAVINE
message: "If you use this dataset, please cite the article from citation."
type: dataset
authors:
  - given-names: Olympia
    family-names: Kourounioti
    orcid: 'https://orcid.org/0009-0005-3693-2736'
    affiliation: University of West Attica
  - given-names: Andreas
    family-names: El Saer
    affiliation: University of West Attica
  - given-names: Lazaros
    family-names: Grammatikopoulos
    affiliation: University of West Attica	
  - given-names: Emmanouil
    family-names: Oikonomou
    affiliation: University of West Attica
title: "UAVINE: UAV Hyperspectral and RGB Image Dataset of a
  Vineyard - Temporal Canopy Growth Monitoring Using Leaf
  Area Index"
doi: "10.1109/IGARSS53475.2024.10641553"
date-released: 05 September 2024 
repository-code: 'https://github.com/aelsaer/UAVINE'
license: BSD-3-Clause

citation:
title: "UAVINE: UAV Hyperspectral and RGB Image Dataset of a
  Vineyard - Temporal Canopy Growth Monitoring Using Leaf
  Area Index"
conference:
name: "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium"
year: 2024
doi: "10.1109/IGARSS53475.2024.10641553"
start:9186
end:9191

APA: 
Kourounioti, O., El Saer, A., Grammatikopoulos, L., & Oikonomou, E. (2024, July). Uavine: UAV Hyperspectral and RGB Image Dataset of a Vineyard-Temporal Canopy Growth Monitoring Using Leaf Area Index. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 9186-9191). IEEE.
BibTex: 
@INPROCEEDINGS{10641553,
  author={Kourounioti, Olympia and El Saer, Andreas and Grammatikopoulos, Lazaros and Oikonomou, Emmanouil},
  booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium}, 
  title={Uavine: UAV Hyperspectral and RGB Image Dataset of a Vineyard - Temporal Canopy Growth Monitoring Using Leaf Area Index}, 
  year={2024},
  volume={},
  number={},
  pages={9186-9191},
  keywords={Area measurement;Vegetation mapping;Machine learning;Autonomous aerial vehicles;Cameras;Sensors;Indexes;Hyperspectral UAV images;leaf area index (LAI);vineyard image dataset;growth rate;fertilizer},
  doi={10.1109/IGARSS53475.2024.10641553}}

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