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Integrating SAR interferometry and GNSS for studying tectonic processes in Indonesia

Indonesia is periodically affected by severe volcanic eruptions and earthquakes, which are geologically coupled to the convergence of the Australian tectonic plate beneath the Sunda Plate. SAR interferometry (InSAR) is a satellite technology based on radar sensors that can be used to support the study and modelling of terrain movements such as tectonic motions associated with faults, and volcanic processes related to magma movement. The main advantages of InSAR is the synoptic view of wide areas, and the periodic surveying that guarantees long-term monitoring and time series analysis.

Italy

14-A-2-a

ISSIA
Characterization of the Ionospheric environment at low latitudes, application to Biomass external calibration sites

The Biomass satellite is a polarimetric P-band (435 MHz) synthetic aperture radar (SAR) in a dawn-dusk low-Earth orbit. Its principal objective is to measure biomass content and biomass change in all of Earth’s forests. The mission launch is envisaged around 2024, for a duration of five years.

Italy

AO4e

INGV
Use of Earth Observation for sustainable fisheries management in west africa

Ghana and other coastal countries in West Africa are continuously threatened by the adverse effects of IUU fishing in the region. IUU fishing poses an enormous threat to the conservation and management of the dwindling fish stocks, causing multiple adverse consequences for fisheries, coastal and marine ecosystems and for the people who depend on these resources.

UK

AO5-b

Plymouth Marine...
Total electron content characterization study over Africa and application to BIOMASS mission (TECA)

This study aims to investigate a feasible regional TEC temporal fluctuations product derived from ground-based monitoring stations Western Sub Saharan African region. To assess how the existing ionospheric monitoring capabilities in that region can satisfy related requirements, for a selected science application and for Biomass external calibration.

Italy

AO4f

ICTP
Change detection using Interferometric an d Polarimetric signatures in Argentina

This Study comes in support to the CONAE SAOCOM Project. The objective of this project is to accomplish a breakthrough in the development of algorithms and associated tools for change detection in Argentina, the core domain of focus being agriculture. L-band SAR is suitable for monitoring agricultural processes, particularly soil moisture, while at higher frequencies the backscattering of soil is attenuated by vegetation. Several studies also demonstrated that L-band radar signatures contain important information about crop classification and biomass.

Belgium

AO4c

CSL
Monitoring of land-related processes in South America using multi-parameter SAR: Soil and Vegetation monitoring in Pampas and Chaco forest

The forthcoming launch of SAOCOM satellites will make multitemporal L band signatures available. To take benefit from this opportunity, this study analyzes and models L band signatures of typical Argentinean crops, and proposes an algorithm able to retrieve soil moisture.

Italy

AO4a

UNIV II ROMA TOR VERGATA
InSAR based tarrain motion mapping in support of landslide hazard assessment in high mountain areas

Landslides are a well-known but so far less-investigated hazard and risk in the Cordillera Blanca. In this pilot study, EO information in combination with in-situ measurements and modelling was applied for investigating and monitoring landslide processes in this mountain region.

Switzerland

AO5-e

UNIVERSITY OF ZURICH
Automated monitoring of geohazards using Sentinel-2 time series in montainous regions

Slow-moving landslides are of particular threat in many areas around the world, with large impacts on infrastructures and populations. In this project, we aim at developing the tools to detect them and monitor their activity with time, using optical sensors.

France

AO5-d

Université Grenoble...
Coastal Ocean Process Caractherisation in Indonesia

This Pilot Study aimed at improving the information on the state of the Indonesian marine environment that is gained by combining satellite data, maps of particularly vulnerable coastal areas and model simulations.

Germany

14-A-2-b

University of Hamburg

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