This activity presents a Synthetic Aperture Radar (SAR) simulator designed to assess the performance of bi-static SAR missions. It is a modular software able to simulate realistic SAR data (including injection of the system non-idealities), to estimate the SAR performance at radiometric and interferometric level. In order to ensure accurate measures of the bi-static performance, it simulates raw data exploiting a time-domain approach, without assumptions on the acquisition geometry. This feature makes the simulator a useful tool for the design of new SAR missions concepts.

BIOMASS 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 the Earth’s forests. The launch of BIOMASS is envisaged for around 2020, with the mission expected to last around five years.

The Process Exploration through Measurement of infrared and millimetre-wave Emitted Radiation (PREMIER) instrument was proposed to ESA within the framework of the 7th Earth Explorer Call. The instrument was designed to quantify dynamic, radiative, and chemical processes in the upper troposphere and lower stratosphere (UTLS) that control the global atmospheric composition.

The inexorable progress made in the past years in the field of Earth observation (EO) technologies offers a huge potential for innovation in Disaster Risk Reduction (DRR) applications. Interferometry processing of SAR data is one of the standard techniques for the detection, detailed characterisation and monitoring of surface motion caused by natural disasters. Yet the transfer of this technology progress to the user community needs to move forward in order to ensure that advancements in satellite technologies are transformed into services to be used by the community.

Space-based radio echo sounding of the continental ice sheets can potentially provide full coverage with uniform sampling and data quality as well as detection of change in environmentally sensitive areas. This research addresses the feasibility of sounding the Antarctic ice sheets with a space-based P-band radar. The assessment makes use of an electromagnetic model of the ice sheets where most of the model parameters are estimated from data that have been acquired in Antarctica with an airborne P-band ice sounding radar.

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.

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.

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.

In previous activities the development of a breadboard of a compact hyperspectral instrument and the deposition of  

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.