devinitorg/iati-policy-markers huggingface dataset:
19 Uni Reading RE-SAT - Call 1 The aim is to use EO and other data sources to support SIDS in their transition from fossil fuel electricity generation to renewables by developing a proof-of-concept energy planning tool. SIDS are a group of developing countries facing specific social, The project aims to assess the feasibility (using EO data) of small island developing states to move away from fossil fuel and onto renewable energy as their primary power source. The project will use historic Earth Observation data combined with ground observations and weather models to develop a proof-of-concept energy planning tool � RE-SAT. This tool will support Small Island Developing States (focussing on the Seychelles in Phase 1) by providing economic and business case information to inform their transition from fossil fuel electricity generation to renewables.
Short Study Call - EO Sphere - Mongolia International Partnership Programme (see Programme details section for individual project summaries) To build a consortium and to refine the requirements for a project (siiMON) that will be submitted to the IPP Open Call in September.
Overall aim of siiMON will be to improve services for monitoring environmental factors, which will feed into the Index Based Livestock Insurance scheme, which has been successfully implemented in Mongolia to build resilience into this important component of their economy, which otherwise can be devastated by averse meteorological conditions.
Drought and Flood Mitigation Service (DFMS) droughts and poor rainy seasons as well as having to
deal with heavy downpours causing flooding of their
lands. The intensity and length of the dry seasons as
well as the timing and intensity of the rainy seasons
are becoming more and more unpredictable.
Although improvements in weather forecasting are
being made, the situation in Uganda is that reliable
and actionable weather and crop data are still often
not available and of varying quality, contributing
to underperforming agricultural production and
food insecurity. Whilst in the coming years capacity
building to achieve a truly sustainable solution will
continue, DFMS will provide Uganda’s decisionmakers
access to reliable and actionable information
now.
DFMS is a suite of information products that enables
its Users to take better-informed water, environmental,
and agricultural management decisions and,
amongst others, mitigate the impacts of drought and
floods. Access to DFMS only requires an Internetconnected
device. Information is provided as maps
or in graphs and tables, and several analysis tools
allow for bespoke data processing and visualisation.
Alarms can be tailored to indicate when parameters
exceed user-defined thresholds.
Creating DFMS required the development of a
(software) platform to process data and visualise
the resulting information; environmental data going
into the platform and algorithms for processing;
and a computing infrastructure (servers) to host the
platform and provide the service. The DFMS Platform
is built using Open Source software, including Open
Data Cube technology for storing and analysing
Earth Observation data. It extensively uses (free)
satellite remote sensing data, but also takes in data
gathered in situ. By making the platform scalable
and replicable, DFMS can be extended to contain
additional Products or be rolled out in other countries
in the region and beyond. This project aims to provide accurate flood and drought predictions to farmers in Uganda so that they are able to use that information to adjust their farming and livestock activities, with the ultimate impact of reducing the losses they would otherwise suffer from flood and drought impacts. The system is enabled through use of data with improved quality, detail and frequency from the Sentinel 1, 2 and 3 satellites (to ensure low cost) combined with SMOS/SMAP and climate modelling/meteorological data.
Short Study Call - Assimila - Mexico International Partnership Programme (see Programme details section for individual project summaries) This short-term study will clarify the priority targets and requirements to identify the relationship between climate, environmental and socioeconomic factors contributing to food security in Mexico. The long term impact through a potential future project will be measurable by the improvement in the level of information to farmers considering uptake of precision agriculture, climatic trends and future agricultural sustainable areas in Mexico. At a practical level the successful take-up of the proposed information will lead to increased use of technology in rural areas, improved crop productivity and reduced diffuse pollution.
Modelling Exposure through Earth Observation Routines (METEOR) The escalating impacts of natural hazards are caused mostly by increasing exposure of populations and assets. A major challenge when making Disaster Risk Management (DRM) decisions is poor understanding of the distribution and character of exposure in ODA countries. Exposure needs to be mapped, monitored and modelled by Governments, NGOs, affected communities and businesses, seeking to bolster resilience and growth. Robust, quantitative methods are required to justify resilience decisions and risk mitigation. Projects have aimed to map exposure using Earth Observation (EO) using a range of approaches, though the application of these in DRM has been greatly limited by the fact that many have been poorly calibrated, for instance by being based using solely upon readily available data, or were designed only for a particular setting. METEOR takes a step-change in the application of EO exposure data by developing and delivering rigorous and open routines (protocols) and standards to allow quantitative assessment of exposure, with explicit uncertainties. These protocols and standards will be developed for broad application to ODA countries and will be tested and validated in two contexts (Nepal and Tanzania) to assure they are fit-for-purpose. The process of building capacity and co-delivering new consistent data will promote welfare and economic development in these countries, and demonstrate the applicability of the techniques elsewhere. METEOR will deliver country-wide openly-available exposure data for the 48 least developed ODA countries. Better-informed DRM decisions that meet the demands of international drivers (e.g. SDGs, Sendai Framework) will be underpinned by our national-scale data. At present, there is a poor understanding of population exposure in developing countries, which causes major challenges when making Disaster Risk Management decisions. METEOR takes a step-change in the application of Earth Observation exposure data by developing and delivering more accurate levels of population exposure to natural hazards. Providing new consistent data to governments, town planners and insurance providers will promote welfare and economic development in these countries and better enable them to respond to the hazards when they do occur.
Pest Risk Information Service (PRISE) An estimated 40% of the world’s crops are lost to pests (including insects, mites and plant pathogens), impacting on the ability of smallholder farmers to feed their families and also affecting international trade and food supply chains. By alerting them to the potential presence of pests, this project aims to enable farmers to manage outbreaks more effectively using Integrated Pest Management methods. These techniques have many advantages, such as the reduction of the use of inappropriate pesticides that lead to human and environmental benefits as well as reducing spend on unnecessary spraying. PRISE will use a range of satellite data at different scales to provide pest risk models with environmental information they need, of which surface temperature is the most important variable. Effective modelling on a country-wide scale requires data that accurately represents local weather conditions for agricultural zones. To meet these needs, data from satellite technology such as Meteosat SEVIRI, Terra/Aqua MODIS and Sentinel-3 SLSTR will be fused to produce a seamless service which will be used to drive pest risk models.
Assessor payments Assessment of International Partnership Programme Call 1 proposals Payment of assessors for Call 1. The UK Space Agency�s International Partnerships Programme (IPP) is a �152M multi-year programme, which will use expertise in space based solutions, applications and capability to provide a sustainable, economic or societal benefit to emerging nations and developing economies. The goals for IPP are listed below:
Primary Aim:
Using UKSA�s expertise and capability delivered through industry and academia, to deliver solutions whose outputs lead to a measurable and sustainable economic or societal benefit/impact in chosen partner country or region

Secondary Aim:
� Develop valued and sustainable partnership arrangements which lead to growth opportunities for the Space community 
� Show the additional capability that space based solutions and applications have over terrestrial systems or can be added to bring benefit
� Use industry�s and academia�s unique expertise to complement existing effort or lead in areas where we have the expertise
Short Study Call - Global MapAid - Ethiopia International Partnership Programme (see Programme details section for individual project summaries) To exploit satellite imagery and geospatial data for mapping of irrigation and farm land, to inform investment decisions on micro-finance, principally for women smallholders. Propose the mapping of irrigation credit (fusing geospatial data with locally collected data) and irrigation water-courses (using satellite imagery). Will provide maps and data freely to end-users to make investment decisions.
Vivid Peru: Remote mapping and socio-economic valuation tool to support planning and implementation in land-use interventions in Peru The project addresses two of Peru’s most acute
development challenges: reducing the rural
population in poverty (currently 3 million), and
preventing deforestation from its current rate of
250,000 hectares per year. The two challenges are
closely linked in a number of ways. Unregulated
land use is a major cause of both, facilitating
encroachment on forests by the subsistence farmers
who are responsible for 75% of losses, while also
stemming flows of investment that could improve their
productivity and incomes. However, solutions to the
problems often require balancing trade-offs between
them: for example, new infrastructure that can improve
livelihoods might also accelerate deforestation.
The overall objective of this project is to contribute
to efforts to reduce poverty and protect forests by
developing satellite-based data tools that help policymakers
to understand and address these linkages.
The tools developed by the project, and the
engagement with government in the adoption and
application of the tools, will assist decision-making in
four key areas of policy activity: land use (‘zoning’)
regulation; infrastructure provision; land permitting;
and sustainable production and irrigation.
The project tools support this aim by providing three
layers of information:
• Land use inventory that classifies and differentiates
physical surface cover types.
• Economic-ecosystem valuation tool that improves
zoning rules and regulations, prioritises planned
investments, and focuses enforcement and
incentive mechanisms to improve effectiveness.
This will integrate the land-use inventory with other
economic information to map the value of land
under different uses and the risk land faces of
unauthorised exploitation.
• Plot-level mapping and technical specifications
to improve titling, enforcement of land-use rules,
supporting programmes and technical assistance.
This will map areas identified as high-risk in greater
detail using Unmanned Aerial Vehicle (UAV)
surveys, providing information on forest thinning
needed to enforce restrictions on deforestation and
support certification of sustainable production. Using a range of publicly available satellite imagery, Vivid will develop economic valuation and small-plot mapping tools for the Peruvian region of San Martin. The project will use high resolution Earth Observation images and digital elevation mapping in deforestation-prone areas to enable the implementation and certification of sustainable agricultural production and to reduce barriers to small-scale irrigation systems. This will improve the income of subsistence farmers.
South Africa Safety Initiative for Small Vessels - Operational Take-Up (OASIS-TU) and Madagascar Safety Initiative for Small Vessels - Operational Take-Up (MSIS-TU) eEE has developed a satellite Automatic Identification
System (SAT-AIS) based technology, exactTrax, to
address the problem of the practical tracking of small
boats in developing countries. Small fishing, work and
leisure vessels account for the majority of South African
maritime incidents and incur millions of Rand annual
expenditure on search and rescue activities. Knowing
the up-to-date location of a boat in real-time is vital to
saving lives and can substantially reduce search and
rescue costs.
Working with SAMSA and the NSRI (equivalent to the
UK’s Royal National Lifeboat Institution), the first phase
of the OASIS-TU project deployed 1,000 exactTraxenabled
em-trak I100 AIS identifiers across South
Africa’s small boat sector. exactTrax data services
were also established into SAMSA’s MRCC and the
NSRI’s EOC. These services include real-time satellite
tracking data and safety alerts transmitted from boats
in trouble and are now fully operational (the first phase
of the OASIS-TU project completed in February 2019).
The current phase of the OASIS-TU project involves eEE
working with S3C and IB to develop a new exactTraxenabled
transponder, known as the AngelFish, for
deployment in Madagascar. With the same small
vessel safety of life issues as South Africa, as well as
concerns related to small-scale fisheries management
and maritime security, a partnership between the
CFIM, APMF, CSP, COFONA, ARTEC and the GAPCM
will deploy 800 AngelFish transponders across
Madagascar. exactTrax data services will likewise be
deployed across all of the local partners. This phase
of the project is due to complete in October 2021, with
the first transponders being deployed in-country in
early 2021. The project is working with SAMSA to equip boats with battery-powered AIS em-trak I100 AIS identifiers. These devices can then be tracked in near real time by exact-Earth’s constellation of polar and equatorial orbiting AIS satellites, and therefore provide South African and Madagascan authorities with an up-to-date last-known position. The devices also provide an SOS button which will transmit a distress message if an incident occurs, and which is also detected by exact-Earth’s satellites. This information will be integrated into their search and rescue systems alerts to inform authorities quickly.
Satellites for Sustainable fishing-Inmarsat "The Indonesian fishing sector is a critical driver of
the economy and society, supporting 7 million fishers.
Fishing not only supports millions of households but
is also part of a valuable global export business.
However, environmentally unsustainab Currently the estimated loss of revenue attributed to illegal fishing is $20bn. Using Inmarsat satellite communication satellites to monitor vessel tracking, this project will allow the design of new operational protocols for policing and fisheries management in Indonesia and will incentivise fishermen to use Vessel Monitoring Systems (VMS) actively. It will also strengthen the surveillance capabilities of the Ministry of Fishing, improving the policing of illegal fishing as well as providing valuable industry information on catches and sourcing.
Property Database for Dakar City The Dakar City government has a requirement to
generate revenues for developing and maintaining
city infrastructure and services. The legal framework
for property taxation is already in place, but the
city lacks the resources to collect and maintain This system will provide the framework for field teams to collect and maintain accurate property characteristics enabling tax calculations to be made within a fully operational system to support sustainable and transparent revenue generation for Dakar City.
RIOS: Re-settlement Information and Observing System. A space solution to monitor informal settlements at risk and support re-settlement to safe areas. RIOS uses earth observation coupled with environmental risk data to monitor informal settlements in Colombia.  

The project will help mitigate against the danger of loss of life arising from natural disasters in settlement areas and to support the re-housing of displaced people.  Informal settlements in Colombia have grown in response to urbanisation and decades of conflict.  This growth presents a major challenge in Colombia exacerbated by the natural hazards affecting these settlements.   

The Discovery Phase project undertaken in 2020-21 examined the technical feasibility of building a cloud-based platform to provide an operational monitoring capability to the Government and local municipalities in Colombia. RIOS will focus on assessing the suitability of EO to provide a monitoring service for managing informal settlements in Colombia. The project will help mitigate against the danger of loss of life arising from natural disasters in settlement areas and to support the re-housing of displaced people.
Informal settlements in Colombia have grown in response to urbanisation and decades of conflict. This growth presents a major challenge in Colombia exacerbated by the natural hazards affecting these settlements. The government requires a near real-time monitoring system, together with robust governance strategies that prevents the re-settlement of people in areas at risk. 
RIOS offers a cost-effective solution to address this challenge.
Ecometrica Flood defenders short study Short study to investigate the possibility of a grant to Ecometrica for Flood defence in Mexico Short study to investigate the possibility of a grant to Ecometrica for Flood defence in Mexico
DETECT: Integrated Space Technology Vector Control for Enhancing community health and resilience against escalating climatic disruptions Mosquito-borne diseases have a major impact on developing countries.  In 2018, there were an estimated 228 million cases and 405,000 deaths from malaria alone.  DETECT will integrate satellite, air-borne and ground-based sensing to detect where mosquitoes are most likely to breed. Building on 20 years of community engagement in Guyana, the DETECT space technology solution will be designed and developed in collaboration with communities and local stakeholders. The aim is to apply space science innovations to existing products to provide communities and key decision-makers with a higher-resolution and more responsive map of vector population risk and to direct when and where community-based vector control interventions should occur. Through satellite communications, the system will then dispatch ‘sprayer drones’ to these high-risk areas to release biocontrol agents – killing mosquito larvae without affecting other species. Malaria and dengue have a major impact on the health and development prospects of remote communities in developing countries, where conventional mosquito control strategies are failing. Building on 20 years of community engagement in Guyana our space technology solution will be designed and developed in collaboration with communities and local stakeholders. We will combine Synthetic Aperture Radar image analysis, ground station and remotely controlled UAV sensing, and precision UAV spraying to deliver an early warning and automated vector control system. Simultaneously, we will build on our established 'digital health' partner network within Commonwealth countries in order to expand operations in the Operational Phase.
Forests 2020: Improving forest monitoring systems through better application of satellite data Forests provide vital services including livelihoods, water and habitats for millions of species, and are essential for combating climate change. This project is using EO imagery from satellites to improve forest monitoring across six partner countries (Brazil, Colombia, Mexico, Ghana, Kenya, and Indonesia). It works with leading experts from the National Centre for Earth Observation (NCEO) in leading universities in the UK and with international partners to test new forestry monitoring methods in the following areas: detecting change in forests (deforestation and degradation) from both optical and radar imagery from satellites like the European Space Agency’s (ESA) Sentinel-1 and Sentinel-2; incorporating these observations into risk models for mapping risk of deforestation and forest fires, and mapping suitable areas for restoration; and improving digital infrastructure to manage and disseminate forest-related data. These new methods will enable our partner countries to use more frequent, better quality data, quicker, improving the national forest monitoring systems. This project is using EO imagery from satellites to improve forest monitoring across six partner countries. It works with leading experts from the National Centre for Earth Observation (NCEO) in leading universities in the UK and with international partners to test new forestry monitoring methods in the following areas: i) detecting change in forests (deforestation and degradation) from both optical and radar imagery from satellites like the European Space Agency s (ESA) Sentinel-1 and Sentinel-2; ii) incorporating these observations into risk models for mapping risk of deforestation and forest fires, and mapping suitable areas for restoration; and iii) improving digital infrastructure to manage and disseminate forest-related data. These new methods will enable our partner countries to use more frequent, better quality data, quicker, improving the national forest monitoring systems.
Crop Observation, Management and Production Analysis Services System (COMPASS) The project consortium is working with CIMMYT and
COLPOS in Mexico and with INTA in Argentina to
help smallholder farmers growing wheat, sugar cane
and maize to improve crop management. Mexican &
Argentinian farmers need to improve crop productivity
and stabilise their incomes to facilitate rural community
economic development. The tool developed by this
project will help farmers to identify factors that cause
the yield gap between crop potential and actual field
performance.
The project provides customer-specific decision
support tools to help growers, including smallholders,
improve their technical, environmental and financial
performance. The project will also provide commercial
information support, following the trials that are
underway, to advisory services, agribusiness, farmer
cooperatives, crop insurers and governments to create
a long-term income stream to support Rezatec’s
provision of these services. Key aims of the project are to:
• Help wheat and sugar cane farmers and smallholders  improve their crop management so that their
incomes and income stability is improved to support rural development
• Help the wider wheat and sugar cane industry, crop insurers and government agencies access improved
information so that they can help develop the industry and facilitate investment
• Develop and deploy a commercial decision support tool for wheat and sugar cane farmers and the wider industry using space data to help deliver more detailed, more timely and more cost effective
information to support management decision making