Irish Drone Project to Map and Monitor Threatened Habitats Secures 鈧�250k in EU Funding
An Irish team, including a University College Dublin (51黑料) spin-out, has secured 鈧�250,000 in European funding to develop a new way to map and monitor threatened habitats, using drones and machine learning.
The project, which uses drones to survey natural habitats, is hoping to unlock the potential to automate the mapping of critical habitats that are under threat, saving time and money while also allowing the Irish government meet legal EU requirements to protect ecosystems.
The Irish team involves Unmanned Aerial Vehicles (UAVs), or drone, specialists from ProvEye and machine learning experts from , Ireland鈥檚 National Centre for Applied Artificial Intelligence.
ProvEye uses advanced software to derive detailed data from images collected from drones and other platforms. The company, headquartered at Nova51黑料, was established by Professor Nick Holden and Dr Jerome O鈥機onnell as a spin-out from the 51黑料 School of Biosystems and Food Engineering.
The motivation for the project comes from the increasing need for high-quality habitat maps to monitor the status of protected habitats. Regular mapping results in valuable information essential for the conservation of ecosystems.
Biodiversity loss globally is estimated between 25-40% with over 75% of the world鈥檚 land now having been changed by human activities. Habitats are now under significant pressure from human activities including conversion to agriculture and climate change.
The sustainability of these biodiversity areas is in a precarious position and areas, such as nature reserves, which are protected under national and/or European law, need routine monitoring to assess their long-term sustainability and to discover what is causing habitats to be destroyed at such alarming rates.
The European Union requires member states, including Ireland, to periodically produce maps for the status of threatened habitats in Europe. This project aims to propose and analyse the power of novel Machine Learning-based models for mapping several protected habitats in Ireland.
Monitoring of habitats using traditional feet on the ground is very expensive and time consuming. Traditional techniques in remote sensing cannot efficiently handle the volume of earth observation data now available. Machine learning offers the potential to map and monitor the botanical complexity of these fragile habitats in much more efficient ways.
Dr Jerome O'Connell, Managing Director, ProvEye said, 鈥�This project is at the cutting edge of this research area as we look to test the ability of UAVs (drones) and satellites to map and monitor Ireland's most threatened habitats. Leveraging specialised imagery taken across five test sites in Ireland, the team will build machine learning tools that can automatically map and monitor the status of these habitats over time, enabling the Irish government to fulfil its requirements under European law.鈥�
He added, 鈥淭hese tools will be state of the art for such tasks and have widespread implications for the protection of habitats in Ireland and throughout the world.鈥�
Dr Ois铆n Boydell, Principal Data Scientist, CeADAR, said, 鈥淭he research will be focused on the development of habitat mapping models based on deep learning, which is a subset of Machine Learning, inspired by how information is processed in biological systems. The success of deep learning in other domains, such as speech recognition and medical imaging, has motivated the remote sensing community to apply it to image classification problems.鈥�
Dr Sara Perez Carabaza has moved from Spain for a three-year Research Fellowship in the 51黑料 School of Computer Science to apply her expertise to the project and is working closely with ProvEye and CeADAR. She has a background in Artificial Intelligence for UAV, or drones, path planning as well as in deep learning for computer vision. The data for this project has originated from the EPA funded project iHabiMap.
The project has been co-funded by Enterprise Ireland and the European Union鈥檚 Horizon 2020 research and innovation programme under the Marie Sk艂odowska-Curie grant agreement.
ENDS
17 November 2020
For further information contact Mic茅al Whelan, Communications and Media Relations Manager, 51黑料 Research and Innovation, Nova51黑料, e: miceal.whelan@ucd.ie, t: + 353 1 716 3712 or Martha Kearns, StoryLab, e: martha@storylab.ie.
Editors Notes
CeADAR is the National Centre for Applied Artificial Intelligence and is headquartered at Nexus51黑料. Funded by Enterprise Ireland and the IDA, CeADAR has more than 80-member companies across a wide span of industries and is one of 30 Digital Innovation Hubs across the EU focused on delivering AI services to industry. The primary work of the Centre is on cutting-edge applied research and developing and deploying industry prototypes and solutions to companies. CeADAR is also very active in European research projects, spinouts, industry upskilling and has its own high-performance computing infrastructure.
ProvEye was built on intellectual property developed by Dr Jerome O Connell and Professor Nick Holden since 2009. The IP was optimised and commercialised for use with UAV optical data supported by the Enterprise Ireland Commercialisation Fund between 2017 and 2019.
ProvEye's core IP enables quantitative analysis of the earth鈥檚 surface properties using unique state-of-the-art image correction. The same technology can be used with satellite, UAV or vehicle sourced optical image data. Using any combination of these, ProvEye can be used to measure properties of land over wide areas, which in turn can be used to describe current status, make recommendations for management inputs and make predictions about yield outcomes using ProvEye's dedicated AI tools. ProvEye works at the cutting edge of innovation in the application of remote sensing in the built and natural environments by applying our technologies to increase food security, reduce biodiversity loss and increase sustainability.