This repository includes the links and information for Zenodo datasets of each ICAERUS Use Case.
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- UC1: Crop Monitoring
- UC2: Drone Spraying
- UC3: Livestock Monitoring
- UC4: Forestry and Biodiversity
- UC5: Rural Logistics
- OCT: Agrobit Srl
- OCT: TAAL
- OCT: SHIELD
- ICAERUS Zenodo Template
| Dataset | Author | Date | Description |
|---|---|---|---|
| UAV Canyelles Vineyard Dataset 2023-04-21 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2023-07-07 | Crop monitoring dataset that includes RGB images, shape files, pointclouds, orthomosaics and DEMs, captured with a DJI Mavic 3 Classic UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-06-09 | Esther Vera, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia, Paula Osés | 2023-08-07 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-04-28 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2024-05-14 | Crop monitoring dataset that includes RGB images, shape files, pointclouds, orthomosaics and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-05-05 | Esther Vera, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia, Paula Osés | 2024-05-16 | Crop monitoring dataset that includes RGB images, shape files, pointclouds, orthomosaics and DEMs, captured with a DJI Mavic 3 Classic UAV and processed with Metashape Agisoft. |
| UC1 DATA FOLDER GITHUB | Esther Vera, Aldo Sollazzo, Chirag Rangholia | 2024-05-15 | This dataset contains the necessary data to execute the UC1_Crop_Monitoring codes in GitHub. |
| VINEYARD PLANT LEAVES IMAGES (SUMMER 2024) | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2024-10-17 | This dataset contains vineyard leaf images organized by date, side and location for analyzing color, texture, and mildew disease. |
| UAV Canyelles Vineyard Dataset 2023-05-18 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2025-03-12 | Crop monitoring dataset that includes RGB images, shape files, pointclouds, orthomosaics and DEMs, captured with a DJI Mavic 3 Classic UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-05-26 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2025-03-12 | Crop monitoring dataset that includes RGB images, shape files, pointclouds, orthomosaics and DEMs, captured with a DJI Mavic 3 Classic UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2024-06-18 | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2025-03-19 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, R, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-07-28 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2025-03-24 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, G, RE) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2023-08-31 | Esther Vera, Paula Osés, Oriol Arroyo, Aldo Sollazzo, Chirag Rangholia | 2025-03-24 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| VINEYARD PLANTS LABELLED FOR DETECTION (HEALTHY, MILDEW, LOW-IRON) | Esther Vera, Aldo Sollazzo, Chirag Rangholia | 2025-03-26 | The dataset contains 508 labeled images of vineyard plant health, with three categories: Healthy, Mildew, and Low-Iron Deficiency, formatted for YOLOv12. |
| UAV Canyelles Vineyard Dataset 2024-08-13 | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2025-05-08 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, R, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2024-08-30 | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2025-05-08 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, R, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2024-07-17 | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2025-04-28 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, R, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| UAV Canyelles Vineyard Dataset 2024-07-03 | Esther Vera, Albert Pedraza, Aldo Sollazzo, Chirag Rangholia | 2025-04-28 | Crop monitoring dataset that includes RGB images, shape files, pointclouds and orthomosaics in multiple bands (RGB, NIR, G, RE, R, NDVI) and DEMs, captured with a DJI Mavic 3M UAV and processed with Metashape Agisoft. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| UAV Spraying Parameters-Coverage in Vineyards | Vasilis Psiroukis | 2023-12-06 | A set of UAV spraying data collected using WSPs, across different parameter configurations. |
| UAV Spraying Parameters-Coverage in Vineyards (2024 Experimental Year) | Vasilis Psiroukis | 2024-12-05 | A set of UAV spraying data collected using WSPs, across different parameter configurations. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| Drone raw images of cattle in french grazing areas | Adrien Lebreton | 2023-08-10 | The dataset encompasses around 900 raw .jpeg drone images of grazing areas where cattle graze collected between June and August 2023. |
| Sheep videos taken from drone at low altitude | Adrien Lebreton, Louise Helary | 2023-12-18 | The dataset encompasses 16 .MP4 videos from drone (DJI mavic 3 Enterprise or Thermal) of around 50 sheep crossing a gate. |
| Drone images and their annotations of grazing cows | Adrien Lebreton, Louise Helary | 2024-04-24 | It contains 1385 images and 4941 bounding boxes of cows to develop cow detection and counting models. |
| Drone videos and their annotations of passing sheep (for counting purpose) | Louise Helary, Kinsey Nnenna, Marta Kolodziejczyk, Jana Schewe, Léa Philip, Estelle Nicolas, Adrien Lebreton | 2024-06-18 | The dataset encompasses 4 MP4 videos from drone (DJI mavic 3 Enterprise or Thermal) of around 50 sheep crossing a gate. |
| Aerial videos and images of goats (for computer vision purpose) | Adrien Lebreton, Laurence Depuille, Estelle Nicolas, Louise Helary | 2025-01-03 | The dataset contains drone-captured videos and images from two goat farms in France, featuring varied settings and resolutions. |
| Drone images and their annotations of goats/small ruminants (for computer vision purpose) | Adrien Lebreton, Léane Duval, Laurence Depuille, Estelle Nicolas, Louise Helary | 2025-01-03 | This dataset includes annotated drone videos and images of sheep and goats with YOLO-labeled bounding boxes for computer vision detection. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| Forestry and Biodiversity monitoring in Lithuania with hyperspectral camera and UAV | ART21 | 2023-09-11 | Hyperspectral imaging acquired with UAV on different dates of a pine tree forest. |
| Multiple DJI drone flights with thermal camera over Lithuanian forests in winter for wild boar detection | ART21 | 2024-07-15 | The dataset consists of thermal images captured by DJI drones over Lithuanian forests in winter, used for wild boar detection. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #1 | ART21 | 2024-09-27 | The dataset contains processed hyperspectral data cubes in ENVI format, with both georectified and non-georectified files, along with generated RGB and NDVI images. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #2 | ART21 | 2024-09-27 | The dataset contains processed hyperspectral data cubes in ENVI format, with both georectified and non-georectified files, along with generated RGB and NDVI images. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #3 | ART21 | 2024-09-27 | The dataset contains processed hyperspectral data cubes in ENVI format, with both georectified and non-georectified files, along with generated RGB and NDVI images. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #4 | ART21 | 2024-12-20 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #5 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #6 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #7 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #8 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #9 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #10 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #11 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #12 | ART21 | 2025-03-21 | The Hyperspectral dataset includes processed data cubes, RGB/NDVI images, and ENVI files, collected with a Specim camera over a forest area. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| ICAERUS - UC5 - Photogrammetry Orthomosaic and Digital Surface Model (Strumica, North Macedonia) | GEOSENSE | 2024-07-18 | A sample dataset from Strumica, North Macedonia, featuring photogrammetric orthomosaics and a Digital Surface Models (DSM). |
| ICAERUS - UC5 - Photogrammetry Orthomosaic and Digital Surface Model 2 (Strumica, North Macedonia) | GEOSENSE, AGFUTURA | 2024-07-26 | A sample dataset from Strumica, North Macedonia, featuring photogrammetric orthomosaics and a Digital Surface Models (DSM). |
| ICAERUS - UC5 - Enhanced Payload Data for Drone Logistics in Rural Areas | GEOSENSE | 2024-12-11 | Dataset that supports the development and operation of the DaeDaLus (Drone Delivery Logistics Services) platform. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| UAV AgroTwin Vineyard Dataset 2024 | Simone Kartsiotis, Antonio Donnangelo | 2024-06-19 | The datasets contains RGB images and pointclouds of a vineyard field. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| 3D cloud reconstruction and 2D NDVI index | Taal S.r.l. | 2024-07-26 | The dataset contains 3D pointclouds and 2D NDVI maps of an olive grove. |
| raw drone sensing data - 1 | Taal S.r.l. | 2024-07-26 | It includes RGB and multispectral images collected with the DJI Mavic 3M in an olive grove, along with flight mission files and GIS information, organized by individual drone flights in separate folders. |
| raw drone sensing data - 2 | Taal S.r.l. | 2024-07-26 | It includes RGB and multispectral images collected with the DJI Mavic 3M in an olive grove, along with flight mission files and GIS information, organized by individual drone flights in separate folders. |
| Ground Truth Data | Taal S.r.l. | 2024-07-29 | The dataset features a dataset of labeled RGB and NDVI olive tree images for training classification models, with health statuses detailed in three CSV files. |
| Tree detected | Taal S.r.l. | 2024-07-29 | The repository contains a dataset of labeled olive trees with bounding boxes used for training detection models. |
| Plant Health Status | Taal S.r.l. | 2024-07-30 | This dataset shows the xylella classifier results to identify asymptomatic health status, effectively differentiating it from mild and evident symptomatic conditions in olive trees. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| SHIELD Demonstrations Dataset | Obsidian Innovation Institute - Associação | 2024-06-19 | This dataset contains the NMEA sentences generated during the Secure and High Integrity EGNSS enabled drone (SHIELD) demonstration campaing and concerning the different demonstration scenarios. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| Lidar data set of a vineyard | Chris Crane | 2024-12-03 | Lidar files for a full vineyard, that can be used to create a 3d model. |
| Lidar files generated from UAV flight over vineyard trial block | Chris Crane | 2024-12-03 | Lidar files collected using Zenmuse L2 lidar mounted on DJI Matrice 350 RTK drone. |
| Multispectral data set including images and drone logs, vineyard, September 2024: PART 1 | Chris Crane | 2024-12-04 | Multispectral data including drone log files of a UK vineyard. |
| Lidar dataset including drone logs, Vineyard Sept 2024 parts 2 and 3 | Chris Crane | 2024-12-04 | Multispectral and RGB image datasets, parts 2 and 3. |
| Multispectral dataset of a Vineyard, UK, July 2024 Part 1 and 2 | Chris Crane | 2024-12-05 | Parts 1 and 2 of multispectral dataset, along with drone flight files. |
| Multispectral dataset of vineyard, July 24 Part 3 | Chris Crane | 2024-12-05 | Part 3 of multispectral dataset, along with drone flight logs. |
| Multispectral imaging of a UK Vineyard June 24, part 1 | Chris Crane | 2024-12-09 | A dataset of multipectral images and drone flight logs. |
| Multispectral data set of a UK Vineyard June 2024 part 2 | Chris Crane | 2024-12-09 | Part 2 of the multispectral dataset that contains images and drone flight logs. |
| GeoTIFF for Vineyard, generated from Multispectral survey; Part 1 | Chris Crane | 2024-12-10 | The GeoTiffs created from each vegetation index, as an output of the multispectral surveys. |
| GEOTiff of vegetation indexes from Multispectral Vineyard surveys PART 2 | Chris Crane | 2024-12-10 | The GeoTiffs created from each vegetation index, as an output of the multispectral surveys. |
| Vineyard block boundaries | Chris Crane | 2024-12-10 | Zip file of vineyard block boundaries in various file types, including shape. |
| PDF reports showing outcome of multispectral survey of Vineyard | Chris Crane | 2024-12-10 | The pdf output reports generated in Pix4dFields of each multispectral vineyard surveys conducted. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| Raw DJI Mavic 3M RTK RGB and Multispectral drone imagery collected on 2024-05-28 | iLaria Marengo, Nuno Faria | 2025-01-06 | High-resolution RGB and multispectral drone imagery of six Alentejo vineyards, collected in 2024 and georeferenced manually. |
| RGB and Multispectral orthomosaics obtained by processing raw imagery (dated 20240528) in webODM software | iLaria Marengo, Nuno Faria | 2025-01-06 | RGB and multispectral orthomosaics of six Alentejo vineyards, processed with webODM for stress and productivity analysis. |
| Input and output datasets for training the AI-based vine segmentation model (YOLOv9) | iLaria Marengo, Nuno Faria | 2025-01-06 | It contains RGB orthomosaics and 5x5 m vector cells as inputs, with YOLOv9 segmentation outputs including vine polygons and vegetation index rasters. |
| Dataset | Author | Date | Description |
|---|---|---|---|
| UAV multispectral imagery dataset over a vineyard affected by Botrytis | Sergio Vélez, Mar Ariza-Sentís, João Valente | 2021-09-21 | Dataset contains 16,504 multispectral images from a 1.06 ha vineyard affected by Botrytis cinerea. Photos were taken during four UAV flights at 30 m height with varying camera angles (0°, 30°, 45°) using a MicaSense RedEdge 3 camera. |
| UFRGS_UAV | Ricardo S. Westhauser | 2019-02-05 | Dataset contains five sets of multispectral images taken by a UAV equipped with a Parrot Sequoia camera in Porto Alegre, Brazil. Also includes satellite images, README file, and other documentation. |
| Gummern - Mining Waste Deposits Multispectral UAV Imagery | Enoc Sanz Albeno | 2023-06-09 | Mining waste deposits multispectral UAV imagery captured with DJI Mavic 3M at 70m height with a GSD of 0.2m. |
| Hullerbusch beech forest, Germany | Robert Jackisch | 2022-08-09 | Multispectral orthomosaics from UAV survey over Hullerbusch beech forest in Germany. Used DJI M300 with RTK antenna and MicaSense Altum-PT camera at 70m height with 3m GSD. Data processed in Agisoft Metashape 1.7. |
| Cherry Tree Disease Detection Dataset | Christos Chaschatzis et al. | 2022-07-01 | Multimodal dataset for monitoring cherry trees in Western Macedonia, including UAV images, ground RGB, and multispectral photos captured with Parrot Sequoia. Includes annotations for Armillaria disease detection. |
| FlexiGroBots - Blueberry orchard UAV dataset | Ivošević Bojana et al. | 2021-07-02 | Dataset of UAV multispectral images (Blue, Green, Red, Red Edge, NIR, RGB) captured with MicaSense RedEdge-M over a blueberry orchard in Serbia. Includes raw data, registered images, illumination-corrected images, and orthomosaics. |
| mDRONES4rivers - Nonnenwerth, Rhine River | Gilles Rock et al. | 2019-06-06 | High-resolution multispectral data acquired with MicaSense RedEdge-M on UAV for mapping vegetation and hydromorphology along German waterways. Features orthomosaics with 25m GSD and reflectance calculation. |
| mDRONES4rivers - Reitwein, River Oder | Gilles Rock et al. | 2019-06-06 | High-resolution multispectral data acquired with MicaSense RedEdge-M on UAV for mapping vegetation and hydromorphology along German waterways. Features orthomosaics with 25m GSD and reflectance calculation. |
| Multispectral imaging dataset of potato plants | Janez Lapajne et al. | 2022-07-20 | Multispectral orthomosaics of potato field crops in Central Slovenia captured with SKYHERO SPYDER X4-850 UAV using MicaSense RedEdge-MX camera. |
| UAV data over a subtropical forest area | Fabio Marcelo Breunig et al. | 2020-10-22 | Raw multispectral images from Parrot Sequoia camera over a subtropical forest area in Rio Grande do Sul, Brazil with 6GB of data. |
| UAV multispectral images for paddy field nitrogen requirements | C.L.I.S. Fonseka et al. | 2023-08-14 | 336 multispectral images from DJI Mavic 3M at 30m height covering a 0.06 ha rice field in Sri Lanka across three phenological cycles, with 0.1m GSD. Includes ground truth SPAD readings. |
| High resolution image dataset over tropical dry forest | Masuly Vega-Puga et al. | 2022-07-01 | 1,116 multispectral images collected with DJI Phantom 4 at 80m height over a secondary tropical dry forest in Mexico during dry and rain seasons, with 70% overlap and 4.2m GSD. |
| Multispectral imagery of cocoa agroforestry in Côte d'Ivoire | Sabine-Karen Lammoglia et al. | 2022-05-01 | 7,638 multispectral images covering 10 different cocoa agroforestry systems (30 ha total) in Côte d'Ivoire captured with DJI Phantom 4 at 80m height with 70-80% overlap and 4.2-4.6cm GSD. |
| De Liereman nature reserve, Belgium | Jeroen Vanden Borre et al. | 2017-07-17 | Orthomosaics and DSMs/DTM from Parrot Sequoia multispectral UAV flights over a diverse landscape of heathlands, grasslands, forests and mires in Belgium. |
| UAS-SfM data from forests in California | Sean Reilly et al. | 2019-09-01 | Multispectral orthomosaics and point clouds from MicaSense RedEdge-MX over forest areas in California for canopy fuel parameter modeling. |
| Multispectral imagery of macroalgae in Illas Cíes | Andrea Martinez-Movilla et al. | 2019-09-02 | Dataset of 20 multispectral orthoimages (5 bands) captured with MicaSense Altum at 35m height with 1.5m GSD over intertidal coastal environment in Spain. Includes photoquadrat images and manually segmented shapefiles classifying into 9 categories. |
| Spruce tree health estimation data | Samuli Junttila et al. | 2019-09-08 | Multispectral and RGB orthomosaics and photogrammetric point clouds from MicaSense Altum and RedEdge over four study areas in Helsinki where bark beetle-related decline of Norway spruce has been observed. |
| Contaminated site evaluation in Olkusz, Poland | Marta Kondracka | 2022-06-09 | Multispectral images (NIR, Red Edge) captured with MicaSense RedEdge-M mounted on DJI Matrice 600 at 150m height for analyzing vegetation condition in post-remediation site evaluation. |
Small introduction (1-2 lines) about what will be found in the dataset and what is the dataset about (classification, detection, segmentation, for building orthomosaics, parameters). This dataset encompasses the following data:
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Folder: description (number of images / subfolders, type of images, size of images, tables, parameters).
- Subfolder: description (number of images, type of images, size of images, tables, parameters).
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Folder: description (number of images, type of images, size of images, tables, parameters).
A paragraph explaining the flight conditions or specifications about how this data was collected in detail. This can include: which drone, camera, resolution, other sensors, altitude, where, time when the data was collected, processing parameters,...
Possible applications: a description of what you could use this dataset for.