EO-NOVA
EO-NOVA – Evaluating the potential of emerging EO sensor platforms for novel value-added commercial applications
CropMon
CropMon – Enabling an operational Sentinel-2 Crop Monitoring Service
Dengue fever research
A project carried out by Φ-lab in conjunction with UNICEF has been selected as one of the UN agency’s top research initiatives of 2022. The success of the project, which developed an Artificial Intelligence (AI) solution for quantifying dengue fever outbreaks, has led to its operationalisation phase receiving significant funding from the Wellcome Trust.
Connectivity for every child by 2030
Continuing its joint initiatives with ESA Φ-lab, UNICEF is appointing two researchers to work on a project that forms part of the UN Secretary-General’s Digital Cooperation Roadmap. The project maps current access to electricity and the Internet for schools around the world in support of an ambitious UNICEF target to provide connectivity for every child by 2030.
Combining Deep Learning Techniques with Cloud Computing and Big Remote Sensing Data Towards a Better Situation Understanding
Advanced Cloud-Native Solution for Efficient Remote Sensing Image Processing using ML/DL Techniques
Detecting Object Behaviour of Interest Using Deep Learning
MUSLS: Persistent Multi-Sensor Land Surveillance and Change Monitoring
An InSAR Based Alert System for National Scale Linear Infrastructure Monitoring
Network Wide Monitoring
smartEarth - Bridging the information gap with space-based analytics
Evaluating Earth Observation Data and Deep Learning Methods to Support Landscape Disturbance Mapping
SE Carbon - Carbon and Phosphorus Sequestration using Natural Infrastructure
EDA Helping Develop Natural Infrastructure Solutions to Fight Climate Change
Advancing Canada's role in earth observation with SIKU: Enhancing sea ice safety and climate monitoring by mobilizing Inuit expertise and EO data through machine learning
Inuit Expertise and EO (Earth Observation) data for safe travel on landfast sea ice and climate monitoring