This project “Applying Earth Observation to assess UK land use change: Lot 1 – Coarse Resolution Optical” is one of the three projects BEIS commissioned to assess the feasibility of using Earth Observations data to map Land Cover and Land Use change over the UK to improve emissions inventories. The main objectives to be achieved […]

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Assimila is working with CAB International and the Chinese Academy of sciences on a Newton Fund project developing a system for crop pest risk modelling in China. The first phase of the project involves a feasibility study with two main objectives: first to use EO data to model crop damage risks from locusts and second […]

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An estimated 40% of the world’s crops are lost to pests. This impacts the ability of smallholders living in poor rural communities to feed their families. More broadly, it affects food supply chains, international trade and achievement of the Sustainable Development Goals. PRISE will create a pest risk forecasting system based on Earth Observation, meteorological […]

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Assimila is working with University College London, Beijing Normal University and the Chinese Academy of Agricultural Sciences to develop a system for improving crop yield simulation and prediction. The team is building on our previous work developing systems to improve land surface parameter estimation from EO data using data assimilation techniques. We are focusing on […]

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MULTIPLY combines sophisticated data assimilation techniques with radiative transfer models and the rich data available from the Sentinel-1,- 2 and -3 satellites to retrieve continuous estimates of land-surface parameters, and their uncertainties, with high temporal and spatial resolution. The aim of MULTIPLY platform is to facilitate the use of Sentinel data and the latest in land-surface […]

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FIDUCEO brings insights from metrology (measurement science) to the observation of Earth’s climate from space. New versions of four key Fundamental Climate Data Records (FCDRs) will be created that include state-of-the-art information about observational uncertainty. We will demonstrate how to propagate that information to derived geophysical datasets — i.e., five important climate data records (CDRs) will […]

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The project was concerned with developing agri‐environmental services for developing countries by bringing together data on crop pests and diseases in the CABI Knowledge Bank with weather data and other environmental sources of information, including satellite data, freely available on the Internet. The resulting information was used to develop value added services which are used […]

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OPTIRAD (OPTImisation environment for joint retrieval of multi-sensor RADiances) aimed to advance the state of the art in EO data assimilation in land surface processes. The project built on existing tools and research results (EO-LDAS) to use EO data to improve estimation of some key environmental parameters, notably land surface and vegetation status, and carbon […]

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The Reading E-Science centre constructed a videowall for science communication, to conduct research into the discipline of data visualisation and as an analytical tool. Assimila assisted in the specification and procurement of the videowall hardware. Assimila also produced EO visualisation demonstrators which were loaded onto the wall when it was completed in March 2014.

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MELODIES was a Framework 7 project funded by the European Union. The aim of the project was to develop a technological platform for the development of environmental services using open data. Eight services will be developed using this platform. Jon Styles led the project’s Sustainability of Services work package, to enhance the long term sustainability […]

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The PROTECT feasibility study examined existing systems and infrastructure in conjunction with applicable space based assets to provide improved situation awareness to both on-board and shore based stakeholders, based on real-time integration of information. Assimila’s role was to advise on the capabilities of satellite earth observation data.

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The European Association of Remote Sensing Companies (EARSC) has recently completed a comprehensive survey of the size and health of the European Earth observation downstream industry – the first such analysis that has been undertaken since 2007. The analysis charts the evolution of the industry in financial and employment terms, analyses the main activities of […]

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The Data Assimilation Projects – run by the UK National Centre for Earth Observation hosted by University of Reading – focused on developing emerging data assimilation techniques for use with highly complex climate models and Earth observation data. The work included fundamental theory of data assimilation, development of data assimilation techniques for coupled ocean/atmosphere models […]

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Assimila was part of the team led by Astrium Service developing a greenhouse monitoring service that was based on an advanced modelling and data assimilation system developed at the University of Edinburgh. Assimila managed the scientific contributions to the project and supported the logistics and development of visualisations for a demonstration held in London in […]

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Assimila carried out an audit of Earth System Modelling (ESM) activities funded by NERC. The audit included a review of UK capabilities in ESM model and component development and use. Assimila then facilitated a high level Strategy Group which, in collaboration with the Met Office, used the audit results to develop the strategy.

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Assimila managed the EO-LDAS project which developed a scheme to assimilate multi-sensor optical Earth Observation data with a land surface model. The project produced a software suite written in Python to allow EO data to be optimally integrated to generate land surface products.

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Assimila supported ECORYS in a study for DG-Enterprise on the competitiveness of the GMES downstream sector. Assimila was responsible for an assessment of the overall economic performance of the sector, benchmarking with respect to competitors in the US and identification of the impacts of the GMES programme on the industry’s performance.

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Assimila supported Defra in the development of its Earth Observation strategy and in communicating the applications and benefits of EO within Defra. Assimila was also responsible for Defra’s engagement programme with UK stakeholders in GMES.

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Assimila is providing Programme Management services for the National Centre for Earth Observation.

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Assimila undertook a review of the Global Environmental Change Committee (GECC) for DECC. The review was based on a consultation of GECC members and stakeholders and identified how well the GECC had been meeting its aims and objectives, recommending changes where appropriate.

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Assimila managed the GlobModel project for the European Space Agency. The purpose of Globmodel was to identify opportunities to increase the uptake of Earth Observation data in scientific and operational Earth System Modeling.

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