devinitorg/iati-policy-markers huggingface dataset:
FireSat "This FireSat pilot programme will demonstrate
the ability of nanosatellite technology to deliver
enhanced fire detection data to be implemented
into the existing Advanced Fire Information System
(AFIS) developed by the CSIR, as well as provide
capa The AFIS ingests data from NASA and ESA satellites to
detect possible hotspots on the ground. Geostationary
platforms provide wide-scale observations on the
order of 1-4 km every 15 minutes, while polar orbiting
satellites can detect smaller fires, of the order of
30-200 m, every few days. The addition of data from
the FireSat nanosatellite will offer complimentary
capability to existing datasets to improve the
observation of 90 m2 fire events.
SIBELIUs: Improved resilience for Mongolian herding communities Mongolia is a large country with ~30% of its population dependant on livestock herding who are exposed to extreme weather events (dzuds), which are increasingly exacerbated by climate change and are highly damaging to Mongolia’s economy and devastating for the poorest herders. A typical dzud can impact millions of herders many of who will lose all their livestock leaving them in extreme poverty, with associated impacts for the wider economy. 

SIBELIUs will provide greater dzud-resilience for herders by providing NAMEM1  with improved capacity (new sources of satellite data, plus a geo-spatial database) for distributing new and upgraded environmental products to key stakeholders supporting herding communities. A key aspect of the project is to channel the benefits of improved products through three existing networks: (1) the Mongolian IBLI2 scheme (2) Otor Grazing Reserves which provide emergency grazing for use in dzuds (3) NAMEM’s existing network of regional centres.  

The project’s impact will be measured directly by the number of herders covered by the IBLI scheme (a readily available statistic) and the dzud-resilience of herders in three test sites, where requirements gathering will also be conducted. Increasing dzud-resilience will directly impact SDG1.5 and SDG13.1. 

NAMEM are committed to supplying the SIBELIUs service beyond the project’s UKSA funding, therefore providing a long-term sustainable solution.

This activity benefits Mongolia and Kyrgyzstan. Dzuds are increasingly exacerbated by climate change and are highly damaging to Mongolia's economy and devastating for the poorest herders. A typical dzud can impact millions of herders, many of who will lose all their livestock leaving them in extreme poverty, with associated impacts for the wider economy. The SIBELIUs project will provide greater dzud-resilience for herders by providing the Mongolian Research Institute of Meteorology, Hydrology and Environment with new sources of satellite data, plus a geo-spatial database for distributing new and upgraded environmental products to key stakeholders supporting herding communities.
Catapult SEMDAC - Call 1 Illegal, Unregulated and Unreported (IUU) fishing
is estimated to cost the global economy $20 billion
annually and is a cover for other illegal activities
such as slavery and smuggling. It robs legitimate
fishers and governments of revenue, undermines
th Objectives
Short Study Call - Ecometrica - Various International Partnership Programme (see Programme details section for individual project summaries) To scope international partnerships, and further define end-user requirements for a larger project to be submitted to the IPP in September, �Forests 2020�. Aim to invest to address technical barriers in low and middle income countries to the sustained implementation of effective forest monitoring systems capable of measuring forest change and providing information on the risks and drivers of forest loss.
SatComs for natural disasters-Inmarsat "The Philippines suffers over 20 cyclones annually,
as well as frequent volcanic eruptions and
earthquakes. It is highly experienced at responding
to rapid onset disasters, but a key lesson from
Typhoon Yolanda in 2013 was the ineffective
deployment This project will transform disaster responses in the Philippines by prepositioning powerful but easily deployable Inmarsat Global Xpress satellite communications equipment within the pilot regions. This will provide much needed increase in data bandwidth capacity for relief agencies and first responders to get information in and out of disaster zones much more effectively.  This will be supported by training to the regional staff in the Philippines
Avanti iKnowledge - Phase 2 work - Call 1 The overall aim of iKnowledge is to transform the
learning environment in schools for children and
teachers in Tanzania through improved sustainable
infrastructure, teacher development and enhanced
use of quality educational content.
Teachers in Tanzania allow development of sustainabiliy and benefits realisation of Tanzanian  rural area internet enablled schools. Provide gathered evidence to local government and international aid agencies which shows providing broadband to remote schools increases education quality and provides successful cost benefit vs investment to inform business case for further roll out of the technology
Satellite Enablement for Disaster Risk Reduction (SatDRR) Kenya is prone to slow-onset natural disasters like
droughts, slow-onset natural disasters like droughts
and famine, and rapid-onset disasters like floods,
land/mudslides and disease outbreaks. Climate
change is leading to increases in both the frequency
and intensity of natural disasters, whilst population
growth, regional unrest and forced population
movement drives conflict. The recurrent nature of these
disasters in Kenya inherently affects the capacity of
communities to recover, which lowers economic output
and holds back development year on year.
Effective, well-organised and prepared responses
help mitigate the effects of disasters. Satellite systems
provide a secure, resilient, always-on infrastructure
in disaster situations – providing critical tools for
emergency communications and situation assessment.
Working with Government Agencies and the Red
Cross Society in Kenya, Avanti and its partners
will undertake a Disaster Risk Reduction (DRR)
development programme, which will use satellite
technology to improve Kenyan capacity to effectively
plan for and respond to disasters.
The project will support the development of Kenyan
Agencies and Responders by:
• Engaging with Kenyan partners to understand
their disaster management priorities, identify
solutions and embed capability through policy
support, knowledge transfer, specialist training and
field exercises.
• Building the capacity of Kenyan staff to prepare,
deploy and utilise satellite services for DRR.
• Provide a pilot platform for local actors to deploy
satellite communication and Earth Observation
services for DRR.
• Enhancing co-ordination, command and control of
disaster response at local, regional and national level Improved disaster resilience in Kenya using EO and Satcoms solutions
Advanced Coffee Crop Optimisation for Rural Development (ACCORD) ACCORD will improve the livelihoods and incomes of smallholder coffee farmers in Rwanda and Kenya, by delivering advice from satellite Earth Observation to help them make significant improvements to crop quality and yield. This allows farmers to achieve higher incomes for their work, improving quality of life for their families. 

Coffee is the second most traded commodity globally, with revenues directly benefitting farmers in developing countries.  Despite this, in Kenya and Rwanda 67% and 80% of people respectively live in poverty, including most smallholder coffee farmers. Unpredictable weather, pests, diseases, nutrient depletion and other factors limit earning potential by hitting coffee quality and quantity. 

Coffee farmers must make 25-30 critical decisions per year, such as whether and when to apply fertilisers, pesticides or fungicides, mostly by guesswork.  Correct advice makes a huge difference to the effectiveness of their decisions and enables increases in income.  The increase in income justifies commercial service provision, ensuring sustainability. 

ACCORD provides farmers with access to timely, geo-targeted advice through a simple mobile application.  The unique and proven method employed by the consortium combines high detail mapping satellite imagery, regular medium resolution satellite imagery and ground observations along with a custom high resolution localised weather forecast model, in a cost-effective manner.  All the data is integrated and analysed then advice is provided through an agronomic advice platform made accessible to networks of agronomists and farmers.  Access to this highest quality advice is not available at scale through any other method. Coffee is the second most traded commodity globally, with revenues directly benefitting farmers in developing countries.  Despite this, in Kenya and Rwanda 67% and 80% of people respectively live in poverty, including most smallholder coffee farmers. Unpredictable weather, pests, diseases, nutrient depletion and other factors limit earning potential by hitting coffee quality and quantity. ACCORD will deliver advice from satellite Earth Observation to help smallholder coffee farmers make significant improvements to crop quality and yield, providing them with access to timely, geo-targeted advice through a simple mobile application.  This will allow smallholder farmers to achieve higher incomes for their work, improving quality of life for their families.
SAtellite SArgassum Monitoring System (SASAMS) - developing a real-time monitoring service for Mexico's Caribbean Coast The dynamic nature of coastal zones renders conventional ground-based monitoring of Sargassum (seaweed) ineffective which hinders activity to deal with its negative environmental effects as it rots. Earth Observation and cloud-based processing services offer tools to track, quantify and understand seaweed beaching remotely. We will develop a cost-effective near-real time seaweed monitoring service for the Mexican Caribbean Sea coast. 

The service will provide early warning of seaweed beaching and its assessment. This enables federal agencies to allocate resources to affected areas quickly and efficiently, thereby minimising economic, social and environmental impacts and enhancing the resilience of local communities. Beaching of sargassum (brown macroalgae) causes large-scale economic, environmental and ecological problems along the Caribbean coast. Mexico, where half the national income arises from tourism along this coastline (>US$ 11.5 billion in 2018), has been severely affected. 
Predicting the arrival and managing the impact of sargassum is a priority for the Mexican government. Limited understanding of sargassum beaching and how it is controlled by changing sea conditions due to climate warming means that government resources are being spent inefficiently. 
The dynamic nature of coastal zones and often sudden arrival of sargassum, render conventional ground-based monitoring ineffective. Earth Observation and cloud-based processing services offer tools to track, quantify and understand sargassum beaching remotely. We will develop and deploy a comprehensive near-real time sargassum monitoring service for the Mexican Caribbean Sea coast, demonstrating that large area, routine monitoring of sargassum can be cost effective. A key innovation is the combination of Planet data, specifically their new SuperDove systems (giving additional wavebands suitable for tracing the whole sargassum life cycle at daily intervals at 1-3m spatial resolutions) with freely available EU Copernicus data. 
The service will allow for early warning of sargassum beaching and its assessment. This will enable federal agencies to allocate appropriate resources to affected areas quickly and efficiently, thereby minimising economic, social and environmental impacts and enhancing the resilience of local communities. Additionally, commercial opportunities could be developed for similar types of environmental monitoring in the broader Caribbean and beyond.
Inmarsat phase 2 work In Nigeria, maternal and child health is a priority initiative for the country. According to UNICEF, every single day Nigeria loses about 2,300 under-five year olds and 145 women of childbearing age. Although poor mobile coverage and the need for resilie allow development of sustainabiliy and benefits realisation of Nigeian rural area internet enabled health  clinics and thei effect on decreasing infant mortality. Provide gathered evidence to Nigerian government to inform business case for further roll out of the technology
Space Enabled monitoring of Illegal Gold Mining Call 2 Unregulated gold mining is a billion-dollar
trade which causes devastating impacts
nationally; specifically on local communities
and the environment. Mercury is frequently
used by informal mining operations to
extract the gold from the ore; it then enter This project is about improving detection and efficiency in monitoring illegal gold mining in remote forested areas in Colombia. The project will make use of freely available Synthetic Aperture Radar (SAR) data, and incorporate machine-learning techniques to show suspected areas of illegal mining, in a user-friendly web portal. The project will support the promotion of safe and secure working environments for all workers, and a reduction in the health-related effects from the high rates of mercury contamination associated with illegal mining.
EcoProMIS 2.0: Ecological Productivity Management Information System (EcoProMIS) for oil palm and rice in Colombia EcoProMIS or Ecological Production Management
Information System is an ambitious project to improve
the sustainability of rice production systems in
Colombia.
It will create “Knowledge for Free and Decisions for
a Fee” to increase productivity and profitability of
crop production while limiting environmental impact
and optimising the socio-economic conditions of
stakeholders.
Colombian farmers, including smallholders, are
looking to improve productivity and stabilise incomes.
This is essential to allow them to compete globally
and improve their livelihoods, whilst responding
to climate change and reducing environmental
impact. The project also engages farmers through
outreach programmes and training to develop their
understanding and skills on how crop management
affects productivity, income and sustainable
ecosystems.
EcoProMIS is creating a platform that processes big
data sets collected per field, grower and location
in deep knowledge of related economic, social,
technical and environmental processes with the help
of machine learning, crop modelling and A.I. EcoProMIS is focussed Colombian rice and oil palm farmers and their need to improve productivity and stabilise incomes to allow them to compete globally whilst responding to climate change and producing responsibly. The project uses satellite earth observation combined with environmental and crop data to research the impact of crop and ecosystem management on biodiversity, greenhouse gas (GHG) emissions, social-economic indicators and productivity. The project will include farmers and smallholders collecting data and engaging in outreach programmes, so that their skills and understanding how crop management affects productivity, income and sustainable ecosystems is developed.
Short Study Call - Earth I - C America/Africa International Partnership Programme (see Programme details section for individual project summaries) Earth-i work to improve coffee crop yield and quality and to improve the supply chain in developing countries. This study is to enable the scoping and international partner activities required to put in place an IPP project in countries where the Consortium has existing strong. Is to enable the scoping and international partner activities required to put in place an IPP project in countries where the Consortium has existing strong links.  The activities will cover promotion and discussion of the IPP call and CCIRD aims and intentions, and to secure the matched funding required.
EO4 Cultivar Earth observation (EO) can provide timely field-scale
crop observations into the high value Latin American
agricultural market. However, whilst there are sources
of free and commercial satellite imagery, there isn’t
the capability to process and rapidly deliver the
necessary crop observation data to growers and
advisory services in Latin America. EO4cultivar
addresses this gap. Working with commercial and
government stakeholders in Colombia, Peru and
Paraguay EO4cultivar is developing a subscription
service called Agri-track; a suite of crop monitoring
and forecasting products.
Near real-time metrics for use in crop production,
agronomy and business intelligence are
automatically generated at field scale. This includes
metrics for predicting and monitoring growth stage,
harvest timing and yield potential for growing
conditions and identifying crop health problems. This
information might be for individual fields, multiple
farms, regional or national areas and reflects the
demand for timely decision support tools to improve
crop production, strategic analysis, sustainable
farming practices and risk management.
Case studies provide new information describing
agricultural landscapes. Web-based maps
enable local stakeholders to view the ecosystems
services provided by land (e.g. water regulation).
Opportunities for nature-based land management
interventions to support sustainable agricultural
production and biodiversity conservation are
identified.
Three fully funded PhDs at UK Universities provide
capacity building for Latin American students from
partner countries to develop their remote sensing
skills and generate new knowledge from earth
observation satellites.
Project objectives:
• Help key growers in Peru and Colombia to
improve yield.
• Provision of crop information services to make
the supply chain more resilient.
• Improve the way Peru and Colombia undertake
sustainable farming practices.
• Capacity building and continued innovation
from EO by supporting 3 PhDs. To make a positive contribution towards
sustainable food production systems and the
implementation of resilient agricultural practices.
-To increase productivity and manage risk in
agricultural supply chains.
-To support inclusive and sustainable economic
growth in target agricultural sectors.
-To help maintain ecosystems and ensure
smallholder farmers benefit from project activities
Caribou / Capita Delivery costs Monitoring and Evaluation specialist services for the International Partnership Programme and its projects, to ensure ODA compliance, sustainability and impact of projects Contract not Grant. Monitoring and Evaluation of the International Parntership Programme
DAMSAT: DAm Monitoring from SATellites Water storage dams serve multiple functions for
a society such as drinking water supply, flood
protection, and hydroelectricity generation, among
others. Tailings dams are embankments of
compacted earth used to store toxic mining waste.
The likelihood of failure of tailings dams is higher
than that of water storage dams although, in both,
the consequences of failures are catastrophic for
communities and ecosystems downstream, which
can cause loss of numerous lives, destruction of
infrastructure, pollution of the environment, drinking
water sources and the food chain.
There is a need for a cost effective service to
monitor dams and other tailings deposits, especially
those in remote locations, to help reduce the risks of
potentially catastrophic failures. Through developing
a monitoring system the projects aims:
• to provide an operational system to support
early decision making that reduces the
economic, social and environmental impacts
downstream of potential failures of water
storage dams, tailings dams and other tailings
deposit areas in specific sites in the regions of
Cajamarca and Pasco;
• promote greater awareness of risks in remote
areas, helping prioritise the use of resources
and promoting coordination between the
different organisations involved;
• support the establishment of advanced
monitoring techniques based on geospatial
information.
The project supports the reduction of damage to
population and ecosystem services downstream
of dam infrastructure upon which many vulnerable
communities rely for both their source of water and
their livelihoods. Tailing dams are earth embankments used to store toxic mine waste and effluent which can be more than 100m high. Their rate of failure is high, due to poor design regulations and less rigorous construction methods than for normal water-retaining dams, especially in low-income countries. This project will use Earth Observation and Global Navigation Satellite System technologies to allow for more effective monitoring of the dams and therefore quicker action can be taken to avoid the tailings dams failures. The project will help to reduce damage to ecosystem services downstream of mines upon which many vulnerable communities rely for both their source of water and their livelihoods.
Climate resilient parametric insurance and emergency response for floods in Bangladesh Vivid Economics and its partners in the UK and Bangladesh are developing a satellite-based platform to improve resilience to flooding.  It will assist relief efforts by showing resource needs at high spatial resolution in real time during floods, provide funding for emergency response through parametric insurance and improve understanding of flooding to support investment to reduce risk.  

The project team will use satellite imagery, machine learning, hydrological and economic modelling to project relief costs of any flood event, which will underpin the insurance product.  Over time this will support improved resilience to climate change and poverty reduction. Vivid Economics and its partners in the UK and Bangladesh propose to develop an insurance platform to secure funding for flood relief and recovery and promote its effective use. Climate change is increasing the flood risk to Bangladesh's economy and society, but the ability to manage this risk is hampered by an uncertain availability of funding, as well as a lack of implementing capacity. Parametric insurance, which ties assessment of impacts and pay-outs to external indices of event severity, can support more efficient relief and recovery by providing more rapid, certain funding on the scale required. This will support the delivery of SDGs 1 and 13 increasing climate change mitigation and adaption and reducing poverty. 
Innovative use of satellite imagery to map flood extent alongside catastrophe (CAT) modelling to estimate flood likelihoods will deliver a full probability distribution of flood risks. Combining this with on-the-ground cost assessments will enable machine learning to establish a mapping to relief and recovery costs. Together, this allows the team to build a clean index linking floods to economic costs, minimising basis risk. Economic modelling will then combine these to create insurance assessments. A combined platform will allow immediate responses to future flood events.  
In country capacity building will ensure this product build local knowledge of risks, enabling prioritisation of adaption and mitigation investments. International engagements will be supported by the lower informational costs of the insurance product, and the fully developed flood modelling to attract international commercial interest, increasing funding for insurance in Bangladesh.
SatCom for Nigerian Health Services-Inmarsat "This project addresses a key development need by
extending the reach of basic medical services into
remote areas of Nigeria, delivering professional
training, data collection and disease monitoring.
It uses Inmarsat���s BGAN satellite technology to The aim of this project is to reduce the mortality rate in rural Nigeria by using SatComs to provide better health information and training for health workers. Using Inmarsat�s BGAN Satcom technology, Inmarsat will host communications in remote areas of Nigeria to provide video-based health worker training to an agreed government standard, improve health systems management and governance using an information system application and improve disease surveillance capabilities.