The aim of the project is to develop a systematic retrieval of Sun Brightness Temperature in L-Band as measured by the SMOS Mission and analyse its correlation with measurements of solar flares currently used in Space Weather, as GOES X-ray flux. The analysis will also focus on dedicated re-processing activities on selected dates with new …
The project, Methane Emission Detection from Satellite Measurements, is being developed by the U.K. National Physical Laboratory (NPL), experienced in emission detection and rate measurement using in-situ measurement technologies, in particular with application to land fill sites and the oil and gas industry, and GHGSat Inc., a company operating a state-of-the-art satellite system to detect …
The main objective of this project is to develop a prototype automatic orthorectification service for optical satellite images that will be ready for deployment into the cloud. The project will specify, implement and test a service for automatic orthorectification of optical high-resolution (HR) and very high-resolution (VHR) satellite images based on a prototype system (STORM) …
Characterization of forest biogeochemical cycles is of paramount importance in Earth system science to understand contemporaneous dynamics and for expanding global land models in order to predict future trends of vegetation and climate. Thanks to the increasing amount of spaceborne observations of land and ocean surfaces, data-driven models are revealing intriguing trends and mechanisms and …
This project analyses the extent to which tectonic processes at plate boundaries give rise to changes that can be detected as variations in gravitational acceleration. The requirements for sensitivity are now being fed into preparatory studies for future gravity measurement missions.
South America hosts the Amazon rain forest, the largest source of natural hydrocarbons (HC) emitted into the atmosphere. However, the forest undergoes continuous pressure due to increasing needs for pasture and agricultural land. Next to this, large urban centers of South America face acute air quality problems. In this tense situation, it is important to …
The STREAM Project (SaTellite based Runoff Evaluation And Mapping), led by CNR-IRPI with the participation of the Institute of Geodesy (GIS) at University of Stuttgart, aimed at developing innovative methods able to maximize the recovery of information on runoff contained in current satellite observations of climatic and environmental variables (i.e., precipitation, soil moisture, terrestrial water …
Incomplete avalanche activity datasets introduce uncertainty to avalanche forecasting Roughly 150-250 people die each year in avalanche accidents. Infrastructure loss and costs from evacuations and road closures and the use of active and permanent mitigation measures amount to large economic costs. Regional avalanche forecasting is an active mitigation measure that informs the public of …
The MATTCH project – Machine Learning methods for SAR-derived Time Series Trend Change Detection – aims to apply Machine Learning techniques to InSAR (Interferometric Synthetic Aperture Radar) derived surface deformation measurements, with the goal of identifying, among the huge number of measurement points (MP) identified by advanced InSAR algorithms, the ones exhibiting displacement time series …
The RIDESAT Project (RIver flow monitoring and Discharge Estimation by integrating multiple SATellite data) aims at developing a new methodology for the joint exploitation of three sensors (altimeter, optical and thermal) for river flow monitoring and discharge estimation. Even if with a number of limitations, satellite radar altimetry over surface inland water has demonstrated its …
