Automatic avalanche detection through satellite data

Estimating Methane emissions in the Northern Hemisphere 

Satellite data in support of landslide risk monitoring

In this project, we will develop higher-order products based on combination of different InSAR datasets in order to ease the interpretation of site-specific deformation processes. The aim of our project is to define and develop geologically meaningful InSAR products to provide meaningful information about slope processes, which could extend the use of Sentinel-1 InSAR in landslide risk management in Norway.

Machine Learning Methods for SAR-derived Time Series Trend Change Detection

A framework for semi-automatic and probabilistic mapping of land cover changes

Analyzing short-term movements in the Cryosphere

High-Resolution Forest Coverage with InSAR & Deforestation Surveillance

Forests are of paramount importance for the Earth’s ecosystem, since they play a key-role in reducing the concentration of carbon dioxide in the atmosphere and in controlling climate changes. The study of deforestation and development of global forest coverage and biomass is fundamental for assessing forests’ impact on the ecosystem.

EO Tools for the Conservation and Effective Management of Wetlands in Africa

Enabling the integration of satellite observations into biodiversity strategies

Space enabled rice monitoring in the Mekong delta