REDD+ Monitoring Services with Satellite Earth Observation - Community Forest Monitoring Pilot
Lead Research Organisation:
University of Leicester
Department Name: Geography
Abstract
The Sustainable Development Goals (SDGs), a universal set of goals, targets and indicators that UN member states will be expected to use to frame their agendas and policies over the next 15 years, were agreed in New York earlier this year. One of the 17 goals is to "Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification and halt and reverse land degradation, and halt biodiversity loss". According to the Global Carbon Project, carbon dioxide emissions from deforestation and other land-use change were 3.3 Gt carbon dioxide on average during 2004-2013, accounting for 8% of all emissions from human activity (fossil fuel, cement, land use change). There is a pressing need to support ongoing initiatives aimed at reducing emissions from deforestation and forest degradation, and participatory forest management strategies to reach sustainable management of forests and enhancement of forest carbon stocks in developing countries
In the context of the UN Framework Convention on Climate Change, the international initiative "Reducing Emissions from Deforestation and forest Degradation" (REDD+) aims to protect carbon stocks and biodiversity in threatened ecosystems around the world. Policy makers, financiers and scientists have identified the need for robust and objective Measurement, Reporting and Verification (MRV) systems and it has been recognised that satellite technology is the only way to regularly monitor the world's forests on the timescales required.
Within the context of REDD+, the University of Leicester is seeking to develop and demonstrate a prototype for a near-real-time forest cover change information service from Sentinel-1 and 2 satellite data that meets the relevant national forest definitions and is delivered directly in an easily accessible reporting format via a smartphone app to community forest associations and national agencies. Our initial focus is to address the management of tropical forests in Kenya, which has recently set out an ambitious climate change action plan. The service prototype will be delivered based on the University of Leicester's internationally renowned expertise in Earth Observation science in collaboration with a mobile technology developer in Kenya (UKALL Ltd).
Market research has been conducted via a NERC Pathfinder grant to assess the potential uptake of a global near-real-time deforestation information service from satellites, commercialising the research results from the NERC CORSAR grant. This study has indicated Kenya to be a likely customer. The annual cost of climatic shocks to Kenya alone is estimated at US$ 0.5 billion (2% of GDP). If not addressed, climate change will hamper progress towards Kenya's aim of being a middle income country by 2030.
A recent market visit has confirmed that Kenyan authorities have a huge interest in satellite enabled forest monitoring products/services delivered via a smartphone app with a variety of interested stakeholders, amongst which:
- Ministry of Environment and Kenyan Forest Services (National level)
- Community Forestry Associations (Local level)
- UNEP and UN FAO / REDD+ (International level)
Our objective is to develop a mobile app allowing customers in Kenya to access a near-real-time, detailed information about forest cover change for their local area of interest. The accessible provision of this service has real value at the local scale as well as the national scale. To unlock the considerable potential for this service and commercialise our know how, we will develop a prototype and demonstrate it in market. We aim to create a joint venture or spin out company in collaboration with identified commercial partners in the areas of satellite imagery and technology development.
In the context of the UN Framework Convention on Climate Change, the international initiative "Reducing Emissions from Deforestation and forest Degradation" (REDD+) aims to protect carbon stocks and biodiversity in threatened ecosystems around the world. Policy makers, financiers and scientists have identified the need for robust and objective Measurement, Reporting and Verification (MRV) systems and it has been recognised that satellite technology is the only way to regularly monitor the world's forests on the timescales required.
Within the context of REDD+, the University of Leicester is seeking to develop and demonstrate a prototype for a near-real-time forest cover change information service from Sentinel-1 and 2 satellite data that meets the relevant national forest definitions and is delivered directly in an easily accessible reporting format via a smartphone app to community forest associations and national agencies. Our initial focus is to address the management of tropical forests in Kenya, which has recently set out an ambitious climate change action plan. The service prototype will be delivered based on the University of Leicester's internationally renowned expertise in Earth Observation science in collaboration with a mobile technology developer in Kenya (UKALL Ltd).
Market research has been conducted via a NERC Pathfinder grant to assess the potential uptake of a global near-real-time deforestation information service from satellites, commercialising the research results from the NERC CORSAR grant. This study has indicated Kenya to be a likely customer. The annual cost of climatic shocks to Kenya alone is estimated at US$ 0.5 billion (2% of GDP). If not addressed, climate change will hamper progress towards Kenya's aim of being a middle income country by 2030.
A recent market visit has confirmed that Kenyan authorities have a huge interest in satellite enabled forest monitoring products/services delivered via a smartphone app with a variety of interested stakeholders, amongst which:
- Ministry of Environment and Kenyan Forest Services (National level)
- Community Forestry Associations (Local level)
- UNEP and UN FAO / REDD+ (International level)
Our objective is to develop a mobile app allowing customers in Kenya to access a near-real-time, detailed information about forest cover change for their local area of interest. The accessible provision of this service has real value at the local scale as well as the national scale. To unlock the considerable potential for this service and commercialise our know how, we will develop a prototype and demonstrate it in market. We aim to create a joint venture or spin out company in collaboration with identified commercial partners in the areas of satellite imagery and technology development.
Planned Impact
The project will deliver a prototype smartphone application using satellite data to produce near-real-time forest cover change mapping in order to address the practical challenges of forest monitoring and management in Kenya within the context of the UN Reducing Emissions from Deforestation and forest Degradation initiative (REDD+) and commercial forest management.
The satellite mapping methods we intend to use at the core of this project are currently TRL 5 (technology validated in relevant environment) and will be developed to TRL 7 within the scope of this follow on fund (system prototype demonstration in operational environment).
We will work collaboratively with UKALL Ltd, a Kenyan mobile phone application development company based in Nairobi, to capitalise on their intimate market knowledge, expertise in trading in Kenya and to build on an existing mobile phone app that is at TRL 9 (actual system proven in operational environment).
The technical benefits of the product we intend to develop are:
- Improved accuracy compared to existing technology
- Cloud independency of the radar sensors
- Higher temporal resolution because of independency from daylight
- Timely access to forest cover change information for local communities, private forest owners and the Kenyan Forest Service via a smartphone app, in a country that is the 21st most connected population in the world with 99.9% of the 26.1 million internet users accessing internet through mobile data.
By focusing the initial stage of our prototype development at the scale of an area managed by a community forest association in Kenya, we will be supporting participatory forest management strategies to reach sustainable management of forests and enhancement of forest carbon stocks in developing countries, and give a sense of ownership and responsibility to local indigenous communities. This in turn will allow the Kenya Forest Service and the Ministry of Environment and Natural Resources to have timely insights on deforestation and forest degradation and have the means to establish a robust and objective Measurement, Reporting and Verification (MRV) system based on cutting edge technology (use of satellite data and transmission to smartphone).
This will help the country in its REDD+ readiness strategy and will help demonstrate to UNEP and the international community not only the effort the country is currently undertaking but also the value of satellite enabled forest monitoring and its application via mobile application development, giving confidence to investors such as national governments (UK, Norway), Green Climate Fund, World bank or the private sector in supporting Kenya and its REDD+ Readiness strategy.
Once the prototype we will develop at the local community and national scale will have proved its robustness and efficiency and reached the fully operational stage, we aim at undertaking market engagement and promote the successful use of our service to some of the 29 tropical forest REDD+ countries and within the United Nations, UNEP and UN FAO.
Ultimately, by developing this innovative technology and applying it to the preservation of our worldwide forests, we will aim at playing a crucial role in forest preservation, bearing in mind that forests not only play a vital role in the fight against climate change, one of the most pressing challenges of our times, but also provide essential ecosystem services such as health through disease regulation, livelihoods, water, food, nutrient cycling and climate security and contribute directly to the livelihoods of 90% of the 1.2 billion people living in abject poverty. Of these, there are an estimated 500 million forest dependent people, 200 million of whom are indigenous people.
The satellite mapping methods we intend to use at the core of this project are currently TRL 5 (technology validated in relevant environment) and will be developed to TRL 7 within the scope of this follow on fund (system prototype demonstration in operational environment).
We will work collaboratively with UKALL Ltd, a Kenyan mobile phone application development company based in Nairobi, to capitalise on their intimate market knowledge, expertise in trading in Kenya and to build on an existing mobile phone app that is at TRL 9 (actual system proven in operational environment).
The technical benefits of the product we intend to develop are:
- Improved accuracy compared to existing technology
- Cloud independency of the radar sensors
- Higher temporal resolution because of independency from daylight
- Timely access to forest cover change information for local communities, private forest owners and the Kenyan Forest Service via a smartphone app, in a country that is the 21st most connected population in the world with 99.9% of the 26.1 million internet users accessing internet through mobile data.
By focusing the initial stage of our prototype development at the scale of an area managed by a community forest association in Kenya, we will be supporting participatory forest management strategies to reach sustainable management of forests and enhancement of forest carbon stocks in developing countries, and give a sense of ownership and responsibility to local indigenous communities. This in turn will allow the Kenya Forest Service and the Ministry of Environment and Natural Resources to have timely insights on deforestation and forest degradation and have the means to establish a robust and objective Measurement, Reporting and Verification (MRV) system based on cutting edge technology (use of satellite data and transmission to smartphone).
This will help the country in its REDD+ readiness strategy and will help demonstrate to UNEP and the international community not only the effort the country is currently undertaking but also the value of satellite enabled forest monitoring and its application via mobile application development, giving confidence to investors such as national governments (UK, Norway), Green Climate Fund, World bank or the private sector in supporting Kenya and its REDD+ Readiness strategy.
Once the prototype we will develop at the local community and national scale will have proved its robustness and efficiency and reached the fully operational stage, we aim at undertaking market engagement and promote the successful use of our service to some of the 29 tropical forest REDD+ countries and within the United Nations, UNEP and UN FAO.
Ultimately, by developing this innovative technology and applying it to the preservation of our worldwide forests, we will aim at playing a crucial role in forest preservation, bearing in mind that forests not only play a vital role in the fight against climate change, one of the most pressing challenges of our times, but also provide essential ecosystem services such as health through disease regulation, livelihoods, water, food, nutrient cycling and climate security and contribute directly to the livelihoods of 90% of the 1.2 billion people living in abject poverty. Of these, there are an estimated 500 million forest dependent people, 200 million of whom are indigenous people.
Organisations
- University of Leicester (Lead Research Organisation)
- Kenya Forestry Research Institute (Collaboration)
- Ecometrica Ltd (Collaboration)
- Department For Environment, Food And Rural Affairs (DEFRA) (Collaboration)
- World Food Programme (Italy, Sudan, Senegal) (Collaboration)
- UNIVERSITY OF GONDAR (Collaboration)
- Bahir Dar University (Collaboration)
- Maasai Mara University (Collaboration)
- Kenya Forest Service (Collaboration)
- UNIVERSITY OF NAIROBI (Collaboration)
- Kenyan Forest Service (Project Partner)
- FAO (Food & Agricultural Org of the UN) (Project Partner)
Publications

Anaya J
(2020)
Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia
in Remote Sensing

Louis V
(2024)
Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST
in Remote Sensing

Ningthoujam R
(2016)
Mapping Forest Cover and Forest Cover Change with Airborne S-Band Radar
in Remote Sensing

Roberts J
(2022)
Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning
in Computers & Geosciences
Description | We have developed a prototype near-real-time forest cover change detection system, which automatically checks for new Sentinel-2 satellite data acquisitions and processes them to forest cover change maps. Forest cover change reports are then disseminated automatically for selected areas of interest to a mobile phone app. A central dashboard uses big data analytics to oversee all incoming reports. |
Exploitation Route | We held a user workshop to demonstrate the prototype to the Government of Kenya and the national REDD+ stakeholder group in Kenya in March 2017, followed by a series of stakeholder engagement events with the Kenya Forest Service. The prototype has been published on Zenodo and Github under an open access license. The Kenya Forest Service technical team have received training in using the software and we helped install it on their own computers. The Kenya Forest Service is now running it operationally to monitor the Kwale protected forest area on a regular basis and is considering rolling it out across 5 more areas across Kenya. |
Sectors | Aerospace Defence and Marine Agriculture Food and Drink Energy Environment Financial Services and Management Consultancy |
Description | The open source software (https://github.com/clcr/pyeo) has been implemented on a computer in the Kenya Forest Service and a team of about 8 staff in the Forest Information Center and the IT Support Team have been trained in how to run and maintain it. Initial feedback from the Kwale test area obtained from local rangers and communities has shown that the deforestation alerts produced by the software have identified some events that had not been known to the forest rangers or the local communities. The system is now being used operationally in several protected forest areas in Kenya. The Government of Kenya has asked for technical assistance in implementing the system country-wide as part of its commitment to stopping deforestation by 2030 and increasing its total forest cover to 10% of land area. |
First Year Of Impact | 2021 |
Sector | Aerospace, Defence and Marine,Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Environment,Government, Democracy and Justice |
Impact Types | Societal Economic Policy & public services |
Description | Implementation in the Kenya Forest Service |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | The Kenya Forest Service now has the ability to detect forest cover loss every 5 days at 10 m spatial resolution from satellite data, which is a big improvement on the previous practice of using 30 m resolution data (which do not detect selective logging) every 16 days (causing problems with cloud cover). Benefits include much more timely delivery of deforestation alerts to foresters in the field and local community forestry associations. This enables more rapid intervention and better forest governance. |
URL | https://github.com/clcr/pyeo |
Description | Forest Mind |
Amount | € 2,172,000 (EUR) |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 06/2020 |
End | 07/2022 |
Description | Identification and monitoring of deforestation in the pluvial Pacific Coast of Colombia. NEWTON Researcher Links Programme, Dr. Jesus Anaya Acevedo, Universidad de Medellin, Colombia |
Amount | £8,254 (GBP) |
Organisation | British Council |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2017 |
End | 06/2017 |
Description | Machine learning applications in remote sensing |
Amount | £25,000 (GBP) |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 05/2019 |
End | 11/2019 |
Description | Space Enabled Monitoring of Illegal Gold Mining in Colombia |
Amount | £3,300,000 (GBP) |
Organisation | UK Space Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2018 |
End | 04/2019 |
Description | Strengthening Food Security through Integrated Earth Observations & Ecological Assessments of Ecosystem Services in Kenya |
Amount | £41,800 (GBP) |
Organisation | British Council |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 05/2017 |
End | 03/2018 |
Title | Near-real-time Sentinel-2 deforestation monitoring service using mobile app technology |
Description | Python software code to process Sentinel-2 data automatically and disseminate information products in near-real-time to mobile app users managed by a central dashboard. |
Type Of Material | Improvements to research infrastructure |
Provided To Others? | No |
Impact | The system will be demonstrated to users in due course. |
Title | Sentinel-2 processing software in Python |
Description | The open-source software PYEO enables users to process large amounts of Sentinel-2 images either on a local computer or on a High-Performance Computing Facility. It includes automatic search, filter and download functionality, atmospheric correction with Sen2Cor from L1C to L2A product level and merging and mosaicking tools. A mapping function will be available soon. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Supported by UKSA Forests 2020, the software has been demonstrated to users in the forestry sector in several tropical countries, including Ghana, Kenya, Indonesia, Mexico, Brazil and Colombia. The software will enable users there to upgrade their own satellite data processing systems from Landsat to Sentinel-2, this improving the spatial resolution of forest monitoring from 30 m to 10 m, or a 9-fold improvement. |
URL | https://github.com/clcr/pyeo |
Description | Collaboration with Government of Kenya |
Organisation | Kenya Forest Service |
Country | Kenya |
Sector | Private |
PI Contribution | Agreement with Cabinet Secretary for Environment to work together in October 2015. Presentation of research plans and ideas at a national REDD+ stakeholder meeting in April 2016. Training workshop on radar remote sensing held in Nairobi in 2016. |
Collaborator Contribution | Provision of advice on forest monitoring in Kenya and the development of the national REDD+ strategy. Technical advice on monitoring development. |
Impact | Development of a prototype forest cover change monitoring service in near-real-time from Sentinel-2 at 10 m resolution, with reports being disseminated to mobile app users and a dashboard. |
Start Year | 2015 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | Bahir Dar University |
Country | Ethiopia |
Sector | Academic/University |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | Kenya Forest Service |
Country | Kenya |
Sector | Private |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | Kenya Forestry Research Institute |
Country | Kenya |
Sector | Private |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | University of Gondar |
Country | Ethiopia |
Sector | Academic/University |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | University of Nairobi |
Department | Department of Geospatial and Space Technology |
Country | Kenya |
Sector | Academic/University |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Earth Observation research for land-atmosphere services in DAC countries |
Organisation | World Food Programme (Italy, Sudan, Senegal) |
Country | Italy |
Sector | Charity/Non Profit |
PI Contribution | NERC National Centre for Earth Observation, ODA Foundation Award, starting April 2017 |
Collaborator Contribution | Research partnership to support the objectives of ODA in Ethiopia and Kenya |
Impact | n/a |
Start Year | 2016 |
Description | Forests 2020 |
Organisation | Ecometrica Ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | Forest cover change monitoring methods using Earth Observation data. Expertise and advice. |
Collaborator Contribution | Provision of EO Labs software license and training. Leading the project team for Forests 2020, funded by UK Space Agency. |
Impact | No outputs yet. |
Start Year | 2016 |
Description | Informing environmental change for Kenyan county development plans: hot-spot analyses using earth observation and community mapping |
Organisation | Maasai Mara University |
Country | Kenya |
Sector | Academic/University |
PI Contribution | John Remedios, Luke Smallman and Heiko Balzter visited Maasai Mara University in Kenya in February 2019 and agreed a new collaboration with NCEO. Our contribution will be the provision of Earth Observation datasets that can be useful for county councils in the region. |
Collaborator Contribution | Maasai Mara University contributes the local work with county council administrations and the Kenya Data Cube to facilitate the uptake and impact from the satellite EO data. |
Impact | One in-country visit. Disciplines involved include socio-economic studies and physical sciences. |
Start Year | 2019 |
Description | Innovative application of remote sensing to Forestry management and monitoring |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Country | United Kingdom |
Sector | Public |
PI Contribution | In the project "Earth Observation Data Integration Pilot, Research Project 9" we have developed methods for using Sentinel-1 satellite data for forest inventory updates in the UK. |
Collaborator Contribution | Provision of forest inventory data and airborne LiDAR data. |
Impact | n/a |
Start Year | 2016 |
Description | Kenya Forest Service |
Organisation | Kenya Forest Service |
Country | Kenya |
Sector | Private |
PI Contribution | Held workshops at the Kenya Forest Service with the National REDD+ stakeholder group and discussed how Earth Observation can be better used for forest monitoring in Kenya. |
Collaborator Contribution | Hosted the meeting and provided technical contributions and advice. |
Impact | Collaboration and further meetings. |
Start Year | 2015 |
Title | Python software for near-real-time automated Sentinel 2 satellite data processing and information dissemination |
Description | The software automatically checks for new satellite data acquisitions on the European Space Agency server. It then downloads the image and automatically checks it for any forest cover losses. Areas that have been deforested are flagged up in a report and immediately disseminated to the users via a mobile app, and reports include geographic coordinates, a map quicklook and the area of the deforestation. Users can report back to the dashboard using text, voice or photo messages. The dashboard uses big data analytics to keep an overview of all reports that have been received. Available from https://github.com/clcr/pyeo |
Type Of Technology | Webtool/Application |
Year Produced | 2017 |
Open Source License? | Yes |
Impact | No impacts as yet, but the software enables user organisations such as forestry commissions to monitor their national forest land in near-real-time and detect any illegal logging and other disturbances early enough to allow intervention. |
URL | https://github.com/clcr/pyeo |
Description | Stakeholder workshop in Nairobi, Kenya, April 2016 |
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 | We held a REDD+ stakeholder workshop chaired by Kenya's national REDD+ coordinator. The workshop came up with user requirements for better forest monitoring from satellite data. |
Year(s) Of Engagement Activity | 2016 |
URL | http://www2.le.ac.uk/news/blog/2016-archive/april/satellite-project-will-monitor-kenya2019s-forests-... |
Description | University of Leicester scientists to promote food security in Kenya |
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 | Announcement of British Council funded workshop to be held in Kenya. |
Year(s) Of Engagement Activity | 2017 |
URL | http://www2.le.ac.uk.ezproxy4.lib.le.ac.uk/departments/geography/newsevents/food-security-workshop |
Description | Visit by the new Director of the Kenya Forest Service to NCEO at Leicester |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Policymakers/politicians |
Results and Impact | We discussed our continued collaboration in the ODA programme with the Kenya Forest Service, refreshed our understanding of the stakeholder needs and pathways to development impact and agreed to seek to formalise a memorandum of understanding between University of Leicester and Kenya Forest Service. |
Year(s) Of Engagement Activity | 2019 |