The objective of the call is to provide a framework to rapidly respond to new innovative ideas. It is intended to support innovative developments which respond to opportunities linked to the exploitation of ESA, Third Party and other European (including national and private sector) Earth Observation data, and related capabilities and infrastructures. The scope of …
The Unfolding the Sea State Bias: Isolating a physical mechanism causing swell dependence of SAR altimeters (SwellStats) project is a project funded by ESA aiming at improving the reliability of the estimates of the sea surface’s geophysical parameters made by SAR altimetry processing, increasing its value to assess informed climate-related decisions. Estimates of the geophysical …
The Restore-IT project is a collaboration between academia, NGOs, and commercial satellite providers and is supported by the European Space Agency (ESA). Within the project, VanderSat , in collaboration with the University of Leicester – inspect how factors such as surface temperature, soil moisture, and land cover can be combined to measure the impact of …
Satellite-UAV Data Fusion for Early Anomaly Detection in Row Crops – Application to Vineyards and Olive Groves” (VINESAT). The project develops Data Fusion of Sentinel-2 and UAV data to obtain high-frequency, high-resolution imagery in both time and space.
Development of AI based methods to classify herds of different animals based on the spatial distribution patterns adopted within different herd species. AI based pattern recognition methods based on distribution patterns of animals within a herd detected in EO imagery.
The project is exploiting new AI techniques using EO data to support water extraction. The service provide generated a precise terrain motion map using Sentinel-1 data with InSAR and this was combined with global and local geosptial data such as a database concerning water extraction activities including a map of wells in the area of …
Development of novel AI based clustering methods to support enhanced compression performance (time and information loss). The use of AI based methods to support the optimization of the compression and decompression process as well as enabling optimized feature extraction based on the lower volume compressed datasets.
A key indication of the performance of earth observation is how easy, quick and affordable it is to collect fresh imagery of a location. This underpins the viability of value-added services and the credibility of the sector right across markets. It is our contention that fresh image collection rates poorly in this regard, particularly in …
Ethiopia is the largest wheat producer in sub–Saharan Africa, but also a hot spot for wheat rust diseases. Based on wheat rust surveillance on the ground, the Ethiopian Wheat Rust Early Warning and Advisory System (EWAS) was established by a consortium of national and international partners including Cambridge University, UK Met Office, and CIMMYT. This …
Illegal excavation of archaeological sites aimed at collecting historical material culture (‘looting’) to introduce it in the illicit market of antiquities is a pressing problem on a global scale. Under favourable circumstances, looting can be exposed on Earth Observation (EO) data by detecting changes that have occurred between two or more consecutive EO images of …
