Astro-ecology: the solution from the skies to save Earth's biodiversity

Lead Research Organisation: Liverpool John Moores University
Department Name: Astrophysics Research Institute

Abstract

The long-term goal of this project is to build upon STFC-funded innovations in astronomy to help tackle challenges to developing countries identified in the Global Challenge Theme Areas, "Sustainable Resources" and "Sustainable Growth". Over the last 18 months we have demonstrated that software developed by astronomers to detect emission and identify objects in thermal (mid-infrared, wavelength ~10 micron) wavelength astronomical images is extremely well suited to identifying and characterising animals in aerial thermal video footage. Last year we were awarded STFC 21st Century Challenge pump priming funds to support a Postdoctoral Research Assistant (PDRA) for 9 months to develop the automated source-finding and identification software pipeline we created to work in different ecosystems. We have subsequently published a pilot paper based on this work. The press release associated with the paper was picked up by media outlets word-wide. As a result, we have received requests from many conservation organisations in developing countries asking to use our drone + software pipeline system. Having demonstrated that this has the potential to be a cost-effective and efficient way to monitor and help manage animal populations over large areas, we now request funding to (i) help the stakeholders who have contacted us, (ii) thereby demonstrate this approach can tackle some of the major challenges facing developing countries, such as food security, animal health and ecosystem monitoring/protection/conservation, and (iii) begin systematically tackling these challenges in developing countries around the world.

Planned Impact

The immediate impact of the project will be helping to ensure the sustainability of the national park mega fauna and ecosystem, and the major source of income that "Conservation Tourism" brings to low/middle income countries. The World Tourism Organisation estimates that the total income received by African countries from international tourism in 2013 was $34.2 billion (USD). They expect a doubling of this value in the upcoming decade. The same study shows that wildlife watching represents roughly 80% of the total tourism to African countries and that poaching and the illegal wildlife trade leads to detrimental environmental, economic and social consequences. A recent Nature study aiming to quantify the economic costs involved on a per-species level, estimates that protecting one species of mega fauna (e.g. elephants) alone will generate £25 million in tourism revenue for countries in Africa. Tourism is increasingly seen by leading international agencies such as the UN and its partner organisations/conventions as a key driver in sustainable development, and an essential part of developing a green economy. Tragically, every year more than a hundred wildlife rangers are killed helping to protect animals from poachers. By allowing rangers to operate remotely, our system will also hopefully save lives. In summary, the long-term goal of the project will help address the above problems by enabling safe, routine, efficient and cost-effective monitoring and management of animal populations over large and inhospitable areas.

As well as addressing a key challenge in ecosystem monitoring, protection and conservation, our system has the potential to pave the way to address fundamental and currently unmet needs in other areas. For example, in the area of food security and animal health, the project will benefit farmers (and therefore the general population reliant on their produce) in developing countries by helping them develop more efficient livestock management practices and thereby increase yields. Similarly, the project has the potential to improve the efficiency of search and rescue operations, which are often critically under-funded in these countries. We are already working with volunteers from search and rescue organisations (e.g. the Royal National Lifeboat Institute) and farmers in the local area to conduct pilot studies. The aim is to quantify the improvement our system will provide over existing methods used in low/middle income countries to find people and manage livestock over large areas of difficult terrain. Initial results are encouraging. Compared to traditional search methods, our system promises to drastically reduce the time taken to find people - one of the key factors in survival rates - and count animals, especially at night and when the terrain is large and inaccessible (a common occurrence in remote locations in low/middle income countries or after natural disasters).

The above issues are among the top five challenges facing developing countries identified by the World Economic Forum and lie at the heart of the four challenge "theme areas" to low and lower-middle-income countries outlined by the Global Challenge Research Fund (GCRF). As such, we believe this project has the potential to make an impact on some of the key challenges facing humanity in the 21st Century.
 
Description Using techniques developed in astronomy, ecology, and machine learning, we have developed drones with thermal cameras combined with automated animal detection system to tackle biodiversity loss. Through our research we have demonstrated that these drone systems make it up to 100x quicker to conduct animal surveys than existing methods.
Exploitation Route The drone systems we have developed can be used by conservation agencies to susbtantially improve their animal survey efficiency.
Sectors Environment

 
Description Our research has a transformative effect on NGOs' abilities to tackle biodiversity loss and is affecting change in national governmental policy on the uptake of drones.
First Year Of Impact 2018
Sector Environment
Impact Types Societal

 
Description Developing automated detection and monitoring of peat fires in Indonesia with thermal infrared sensors under drones
Amount £361,615 (GBP)
Funding ID ST/S00288X/1 
Organisation Science and Technologies Facilities Council (STFC) 
Sector Public
Country United Kingdom
Start 04/2019 
End 03/2021
 
Description Collaborations with leading conservation agencies 
Organisation World Wide Fund for Nature
Country Switzerland 
Sector Charity/Non Profit 
PI Contribution We are helping the following conservation agencies around the world to monitor wildlife: WWF UK WWF Sabah WWF Brazil WWF Netherlands WWF Sarawak Endangered Wildlife Trust (EWT)(South Africa) Boston University Environmental Protection in the Caribbean (EPIC) HUTAN (Sabah, Malaysia) Sumatran Orangutan Conservation Programme (Indonesia) University of Aberdeen University of Kent Adelaide University Welgevonden Reserve (South Africa) United Nations Development Programme (Ethiopia)
Collaborator Contribution World wide reach in conservation
Impact We are travelling to various sites around the world to help WWF and similar agencies protect endangered animals.
Start Year 2017
 
Title ConservationAI 
Description Conservation AI aims to harness machine learning for various conservation projects. At present we focus on detecting and classifying animals, humans, and man-made objects indicative of poaching (e.g. cars, fires). We focus work with images from visual spectrum and thermal infrared cameras that are used on drones or in camera traps. The aim is to provide a user-friendly workflow that can allow for near-real time detection/classification and non-real time detection/classification. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact As of 21/9/20 we are supporting 61 users from 8 conservation projects across 4 different ecosystem types. The website has processed >35k images and detected over 100k objects. 
URL https://www.conservationai.co.uk/
 
Title Drone planning calculator 
Description This is a web tool allowing conservationists to determine the optical drone flight parameters given their camera, animal of interest, etc. 
Type Of Technology Webtool/Application 
Year Produced 2018 
Impact Conservation researchers and rangers have used the website to plan their drone flights during conservation studies. 
URL https://www.astro.ljmu.ac.uk/~aricburk/uav_calc/
 
Title LJMUAstroecology/flirpy: v.0.1.0 Zenodo 
Description Add Zenodo DOI. Flirpy is mostly fit for general use cases, but needs some work with Tau 2 support. 
Type Of Technology Software 
Year Produced 2020 
Impact flirpy is a Python library to interact with FLIR thermal imaging cameras and images. This enables researchers not familiar with the internal workings of thermal cameras to easily manipulate thermal images from off-the-shelf images from the industry standard FLIR camers. 
URL https://zenodo.org/record/3866331
 
Title jveitchmichaelis/deeplabel: Version 0.15 
Description Fixes a repaint bug in Mac Improves back compatibility with lower versions of Qt 
Type Of Technology Software 
Year Produced 2020 
Impact This software automatically labels objects in the video data making it much easier to prepare for machine learning tasks. This substantially speeds up how long it takes to label video data -- one of the main bottlenecks in machine learning -- leading to greatly increased efficiency . 
URL https://zenodo.org/record/3885842
 
Description Exhibit and New Scientist Live (London) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We were invited to put up an interactive exhibit as part of New Scientist Live event in London
Year(s) Of Engagement Activity 2018
 
Description Exhibit at National Science Museum London 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We constructed an interactive exhibit on our research at the National Science Museum in London.
Year(s) Of Engagement Activity 2018
 
Description Flagship project for British Science Week 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Our research was the flagship citizen Zooniverse science project for British Science Week.
Year(s) Of Engagement Activity 2018,2019
 
Description Research features in 2 BBC Nature documentaries 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Our research has featured as large sections in 2 BBC Nature documentary series.
• BBC Wildlife documentary "Equator", airing Spring 2019: Astro-Ecology research on helping to save Orangutan in Borneo features in 15-minute segment of hour-long documentary.
• BBC Wildlife documentary "Primates", airing 2020: Astro-Ecology research on saving Lemurs in Madagascar will features in new BBC documentary series.
Year(s) Of Engagement Activity 2018,2019,2020
 
Description Research features in local, national and international news 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Our research regularly appears in leading international media outlets (New York Times, BBC, Le Monde, National Geographic, etc.,)
Year(s) Of Engagement Activity 2016,2017,2018,2019,2020
 
Description Visiting schools to present our research, show how drones work, and talk about biodiversity loss and climate change 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact We have given many talks at different schools about our research. We take our drones and show them how the thermal camera works. We usually have ~30 in each class, or several hundred in a whole school assembly. The children are always very enthusiastic and ask lots of questions.
Year(s) Of Engagement Activity 2016,2017,2018,2019,2020