WorldCover provides a new baseline global land cover product at 10 m resolution for 2020 based on Sentinel-1 and Sentinel-2 data, developed and validated in 9 months from last data take. Key end-users, such as FAO, OECD, UNCCD, WRI, CGIAR, and EU DEFIS were an integral part of the project, following the whole project workflow …
Wildfires are a natural component of the Earth system, important for nutrient release and vegetation growth. Climate change, however, is contributing to more frequent, more destructive and less predictable wildfires worldwide. Australia, in particular, experiences regular bush fires during the summer, but the devastating 2019-2020 bushfire season, known as the Black Summer, was unprecedented in …
The Artificial Intelligence for Earth Observation (AI4EO) Wildfires project began in December 2020 and run for 8 months, focussing on developing and demonstrating a burned area (BA) mapping service that combines EO data, specifically Sentinel-2 optical data, with an AI-enabled algorithm. The project consortium is led by CGI UK, utilising their legacy of developing cloud-based …
Scarcity of water resources is today a real issue in some geographic areas. Temperatures have increased by 0,85°C on average between 1880 and 2012 and could reach 4,8°C increase by 2100 compared to the period 1986-2005, according to the latest IPCC report. As one of the consequences, agriculture and viticulture are facing droughts at the …
Optimizing water resources is a real issue in some geographical area. Temperature have increased by 0,85°C on average between 1880 and 2012 and couldreach 4.8°C by 2100 compared to the period from 1986 to 2005, according to the last IPCC report. As a result, agriculture and viticulture are facing an increasing water scarcity at the …
The aim of the activity is to apply super-resolution reconstruction multispectral Sentinel-2 images, using multiple images of the same region, captured at different points in time (MISR, multiple-image super-resolution). This is achieved by adapting recent deep neural networks that were recently proposed for dealing with MISR, to the particularities of Sentinel-2 data. In particular the …
The MRV4C project, developing a Monitoring, Measurement, Reporting and Verification (MRV) System for cocoa agroforestry in the Dominican Republic (DR) was a 1-year activity funded by the European Space Agency through the Open Call funding opportunity, addressing activity line 6, “EO for Sustainable Development”, of the ESA EO SCIENCE FOR SOCIETY programme. The aim of …
The Assesscarbon project (Feb 2020 – Feb 2021) developed and demonstrated at a pre-operational level an approach for large area forest biomass and carbon modelling, combining ground reference data, Sentinel-2 imagery and primary production modelling. The overall goal of the project was to develop a foundation for a novel approach to derive large area biomass …
CASSIA’s objective is to develop forest value assessment and temporal forest change detection monitoring service for insurances to detect e.g. storm and insect damages and provide damage evaluation and verification. Based on synergistic use of Sentinel-1 and -2 monitoring capabilities an early assessment of regional forest loss and related damage probability maps will be generated …
Agricultural monitoring at national scale is a prerequisite for assessing and analyzing the agricultural resources by mandated authorities, usually the agricultural National Statistical Offices (NSOs). NSO collect in general national agricultural monitoring data by farm and household surveys. Recognizing the limitations of the current agricultural data collection in developing, emerging as well as in industrialized …
