Applying Astronomy Capability to Map an Invasive Weed: Leveraging Satellite Surveys to Inform "Famine Weed" Policy in Pakistan

Lead Research Organisation: University of Manchester
Department Name: Physics and Astronomy

Abstract

It is projected that food demand will more than double by 2050 due to climate changes. The new generation of Earth observation data, including the Sentinel missions, offer the potential to identify and counteract crop yield declines. Astronomers are experts in analysing large multiband imaging surveys by making sense of the plethora of information using smaller targeted observations at high resolution and/or with spectroscopic information. This is exactly the expertise needed to utilise these new Earth observations to address global food security challenges. In this proposal, for the first time, we build crossover capabilities by focussing on a critical threat to two of the four most important crops in Pakistan (>75% of total output). Beyond the specific outputs of this project, this multi-disciplinary collaboration between astronomy, Earth observations and food security will also deliver transformative open-source tools. They will have secondary benefits to the UK in addressing global food security, and could be applied to challenges such as blackgrass in wheat. Furthermore they showcase the huge potential of STFC capabilities to contribute to tackling global challenges.

Food security in Pakistan is reliant on its ability to produce wheat and rice. A new invasive species of weed, the "Famine Weed" (Parthenium hysterophorus), has been identified as a critical threat to agriculture and human prosperity in the region. Parthenium affects crop yields by as much as 90%, and has serious impacts on human and livestock health, and is therefore this project is of great importance to Pakistan. The University of Manchester and the Centre for Agriculture and Bioscience International (CABI) have joined forces to define a key challenge area for STFC research: the use of astronomy image analysis for mapping Parthenium across Pakistan. With their Islamabad office, CABI have over sixty years of on-the-ground experience in Pakistan and a proven track record of undertaking agricultural research projects in this region. Combined with the world-leading expertise in astronomy image analysis and optical instrumentation engineering at Manchester, we propose a four-stage project to provide detailed mapping of Parthenium in wheat and rice agriculture for the major arable regions of Pakistan.

Initially, we will aggregate and preprocess multispectral satellite imagery (WP1) and implement a campaign to collect high quality ground reference data (WP2) which is currently lacking. These will be combined to produce a computing framework for the detection of Parthenium in crops across the country. This will deliver static maps for the current extent of the weed (WP3) as well as a mechanism for future monitoring to be adopted by policy makers (WP4). We also place a strong emphasis on local academic capacity building through employment of local researchers, delivery of technical workshops, data hack challenge events and a researcher exchange program between Manchester and universities in Punjab (WP4).

Impact is achieved via three interlinked outcomes:
1) Policy makers become aware of and able to use satellite data for decision-making in agriculture, livestock, and human health;
2) Improved methods allow for automated mapping and monitoring of the distribution of Parthenium in rice and wheat fields; and
3) Pakistani researchers develop strengthened capacities in their fields that contribute to their ongoing work.

Planned Impact

This project seeks to improve food security, livelihoods, and human and environmental health in Pakistan by applying UK astronomy expertise to the monitoring and mapping of Parthenium so that it can be more effectively managed by national stakeholders. We will generate impact by focusing our activities around three outcomes:

Outcome 1: Policy makers become aware of and able to use satellite data for decision-making in agriculture, livestock, and human health
We will engage with key decision-makers to raise awareness educate them about new data-driven approaches for Parthenium weed monitoring. Two high-level policy workshops will allow us to engage with a cross-sectoral group of policy makers. Authorities can then use the maps generated for targeted weed control and the measurement of their effectiveness. We will work in collaboration with the Pakistan Agricultural Research Council to produce policy briefs.

Key measures: Attendance at workshops, workshop evaluation forms, joint policy briefs published, usage analytics /download stats, system user survey

Outcome 2: Improved methods allow for automated mapping and monitoring the distribution of Parthenium in rice and wheat fields
Quantifying the large-scale distribution of invasive weeds is paramount for the sort of ecological modelling that will allow authorities to target their efforts. This requires one to obtain systematic monitoring in remote areas. We will develop a new framework to distill low-level satellite imaging into more user-friendly data products. Their reliability will undergo extensive testing and calibration by verifying their accuracy against a comprehensive set of field observations, which will pave the way for their adoption. The methods that will be developed in this project have a much broader scope of application than Parthenium, with direct use for connected agricultural problems faced by the UK and other countries as well as possible translations into novel use of remote sensing for society.

Key measures: Publications in refereed journals, self-evaluation of map reliability through 'double-blind' data challenge, new detections of Parthenium confirmed by ground measurements

Outcome 3: Pakistani researchers and technicians develop strengthened capacities in their fields that contribute to their ongoing work
Academic and non-academic researchers in Pakistan will play a pivotal role in the data collection and analysis. The involvement of a postdoctoral research assistant will allow us both to build capacity for the remote sensing and to build research partnerships with Pakistani universities. Exchange visits between UK and Pakistani researchers will strengthen the ability of everyone involved to apply astronomy expertise towards addressing the development challenges faced by Pakistan.

Activities such as 'hack-a-thons' will cross-connect new science communities. These events offer opportunities to foster a STEM culture, but also enable scientists from 'traditional' STFC backgrounds to discover new career paths such as data science in humanities.

We will train 60 individuals to perform high-quality field work. Most will be undergraduate students recruited for the task, who will gain useful survey experience to complement their studies.

Key measures: Outputs (publications, presentations) produced by PDRAs, feedback evaluations from exchange visits, numbers of attendees at hackathon, hackathon evaluation forms, numbers of field assistants trained

Impact beyond this project
Parthenium is a global problem, however, and the potential impact of this work goes well beyond Pakistan. We will explore possibilities to extend this work in other parts of the world. We may also identify opportunities for applying similar methods to other invasive weeds with major food security impacts.

Tools and data products generated will also be made available on an open source platform, for use beyond the end of the project and by other stakeholders.

Publications

10 25 50
 
Description Parthenium is an invasive weed which propagates in multiple countries such as the sub-Saharan Afican and the Southwest Asia (Pakistan and India). We have demonstrated through our project that it is possible to use satellite imaging to track the presence of this weed on large scales (country) in Pakistan. We are hoping that this will provide new ways of quantifying the scale and extent of the term, which will lead to better way of targeting its eradication/control in the country. Through the project, we have also developed a low-cost device made of Raspberry Pi components to acquire imagery from a UAV, which in the future will help better calibrate satellite imaging data.
Exploitation Route We are still working on producing the outputs and full report from this project. It is still too early to comment extensively on the full outcomes. However we have already assessed that we have/will meet the objectives that we had set at the time of submitting the proposal. A full update will be made in the future.
Sectors Agriculture, Food and Drink,Digital/Communication/Information Technologies (including Software),Electronics,Environment

 
Description We are currently writing policy briefs for the Pakistan government which will be use to inform about the use of remote sensing for monitoring Parthenium and provide country-wide maps about the presence/absence of the weed. This is work in progress.
First Year Of Impact 2021
Sector Agriculture, Food and Drink,Environment
Impact Types Policy & public services

 
Description Remote sensing and machine learning
Geographic Reach National 
Policy Influence Type Implementation circular/rapid advice/letter to e.g. Ministry of Health
URL https://post.parliament.uk/research-briefings/post-pn-0628/
 
Title Parthenium in Pakistan field survey data 
Description As part of the [Remote Sensing of Parthenium in Pakistan](https://www.cabi.org/projects/remote-sensing-use-for-mapping-parthenium-in-pakistan/) project, data was collected on the presence of the Parthenium weed across the country through a number of roadside field surveys from 2018 to 2020.\r\n\r\nThe data was used as ground truthing information to validate remote sensing methods in order to identify and map the distribution of Parthenium across different habitats. It was also used to calibrate and validate potential distribution models of Parthenium in Pakistan in relation to landscape and climate characteristics.\r\n\r\nData records contains information about the date and time of survey, location, classified road and habitat types, the presence, abundance and phonological stage of Parthenium, and the presence of the biocontrol agent Zygogramma.\r\n\r\nThe data from each field data collection campaign has been cleaned and merged into one file.\r\n\r\nThis data has been used in the following publications:\r\n-1\r\n-2\r\n-3\r\n 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This dataset is the largest, systematic field survey collection about the presence/absence of Parthenium to date. The surveyed region is in Pakistan, primarily the Punjab and KPK provinces. This will dataset underpins several publications and policy briefs currently in preparation (as of March 2021). 
URL https://ckan.cabi.org/data/dataset/b5906df6-414f-46d1-9709-a133853e9656
 
Description CABI Pakistan 
Organisation Centre for Agriculture and Bioscience International
Department CABI Pakistan
Country Pakistan 
Sector Charity/Non Profit 
PI Contribution We provide assistant in designing the field work and interact at the level of bringing expertise in remote sensing and data analysis.
Collaborator Contribution CABI Pakistan has extensive field work experience. They run a programme called Plantwise in collaboration with the agriculture extension service in Pakistan. They provide the backing to run the field work of our project and lead WP2 "Measuring Ground Truth Data".
Impact None so far.
Start Year 2017
 
Description CABI UK 
Organisation CABI
Country United Kingdom 
Sector Private 
PI Contribution Expertise in plant biology. They run a programme on invasive species across the world.
Collaborator Contribution CABI UK is a core partner to our project. They lead WP4 "Informing Decision Makers and Stakeholders" as they have in-depth experience in organise workshops, producing policy briefs and advising governmental agencies.
Impact No research outcome yet.
Start Year 2017
 
Title HawkPi: a low-cost, Raspberry Pi-powered multi-spectral imager for remote sensing 
Description HawkP is a low-cost, Raspberry Pi-powered multi-spectral imager for remote sensing. The size of a tissue box, HawkPi houses 6 Raspberry Pi cameras connected to Raspberry Pi Nano computers. The device is capable of recording images in 6 different filters, which can be customised by changing the faceplate protecting the camera lenses. Its design enables it to be mounted under a small UAV to acquire images from the ground. The system will be presented in a peer-reviewed journal, with the blueprints for the technical design made available open source as well as the control and analysis software. 
Type Of Technology Detection Devices 
Year Produced 2021 
Open Source License? Yes  
Impact Commercial multi-spectra cameras are relatively expensive (~> £10k) and therefore need to be handled with care when conducting fieldwork and not an easy purchase option in developing countries. HawkPi attempts to address this shortcoming. It can either be used on its own for remote sensing or as a way of producing quality quantitative data as a way of obtaining ground truth for satellite imaging, for instance. Its use is still in early days, with testing and commissioning to be completed. 
 
Description Second Workshop in Pakistan 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Workshop in Pakistan about Parthenium to engage with local stakeholders, universities governmental organisations, etc. This is the second edition of the workshop. Altogether just over 50 persons participated. We heard reports on seed projects initiated with a number of local academic partners. The deputy minister for agriculture also attended the launch of the workshop, including the overview presentation of the project by the PI Breton.
Year(s) Of Engagement Activity 2019
 
Description Talk on remote sensing for invasive species detection 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact >50 attendees to a Zoom webinar about the detection of invasive plants using remote sensing. Most attendees were from the CABI organisation across the world, but also some postgraduate students and practitioners.
Year(s) Of Engagement Activity 2021
 
Description Technical workshop in Manchester 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Study participants or study members
Results and Impact Technical workshop in Manchester with members of the project collaboration. This includes a postdoc working with the project partner in the host country.
Number of participants: 8
Outcome: Developed roadmap with the final year of the project, including dissemination activities and plans for future funding.
Year(s) Of Engagement Activity 2019
 
Description Workshop in Pakistan 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Description and purpose:
Workshop in Pakistan about Parthenium to engage with local stakeholders, universities governmental organisations, etc. This workshop also tied up to another workshop on invasive species, to which some policymakers and medias also attended. The first part of the workshop comprised about 30 participants, while the second one comprised about 40 participants.

Outcomes:
We have established partnerships with local research groups and provided seed funding to initiate projects.
Clearer pathway to action for the continuation of the project.
Possible routes identified to tackle the issue of this invasive weed at the local, provincial and national level in Pakistan.

Impact:
Local media presence which enabled us to circulate information to the general public about Parthenium.
Year(s) Of Engagement Activity 2018
URL https://blog.invasive-species.org/2018/10/12/when-astronomers-meet-ecologists-how-remote-sensing-can...