Research Project
GRANULAR is a project that will last for four years, involving different disciplines and countries, with the aim of creating new datasets, tools, and methods to better understand rural areas. By doing this, we hope to gain new insights into the unique characteristics, dynamics, and drivers of change in rural areas. Using this newly generated and collected knowledge, we aim to help those involved in rural development to design place-based policies that are specifically tailored to the needs of each individual area. Ultimately, GRANULAR hopes to support rural actors in their efforts to promote sustainable territorial development.
Research Project
EYE-CLIMA will support National Greenhouse Gas Inventories (NGHGIs), and thus the Paris Agreement, by developing independent observation-based methods for verifying emission estimates of greenhouse gases and the aerosol species, black carbon. Independent verification is much needed and is recognized by the IPCC in their 2019 refinement of the guidelines for NGHGIs.
Research Project
LAMASUS builds on i) decades of experience in direct policy support, ii) unique modeling tools, such as GLOBIOM, the only model that integrates agricultural and land use sectors, and CAPRI, MAGNET and CLUE, which underlie JRC’s land use policy assessments, and iii) novel approaches mobilizing machine learning and citizen science.
Research Project
This project is funded by the Government of Norway’s International Climate and Forest Initiative (NORAD). It aims to build an independent alliance that can efficiently monitor forest governance in the DRC and to promote the conservation of natural forests to maintain their carbon storage capacity particularly in REDD+ areas.
Research Project
The SIGMA project provides EU support to the international GEOGLAM (Group on Earth Observations Global Agricultural Monitoring) initiative, which together will strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate forecasts of agricultural production at national, regional and global scales using Earth Observation.
Research Project
The CrowdVal project has developed innovative tools for data collection by the crowd; these have been demonstrated in three African countries for in situ data collection as well as an online data collection exercise using visual interpretation, leading to the validation of the first 20 m land cover map of Africa.
Research Project
The LACO-Wiki project will integrate the current LACOVAL (LAnd Cover VALidation) software prototype for the validation of land cover maps with Geo-Wiki, a visualization and crowdsourcing tool. The result will be an open access on-line validation platform offering standardized validation functionality for map users and producers.
Research Project
This project is funded by the ERC Consolidator Grant. It assesses the potential of using crowdsourcing to close big data gaps of ground sourced data on land cover, land use and change. The project builds on the Geo-Wiki crowdsourcing tool and moves from an online environment to a mobile ground-based collection system.