The division consists of three research groups with the goal to provide and interpret global datasets relevant to current and future environmental problems. This goal will be achieved using complex
mathematical models of both the measurement techniques and the earth-atmosphere systems.
Space Geodesy and Geodynamics
Our research concerns global geodynamical processes. We perform measurements and analyse these to e.g. determine movements in the earth’s crust, earth rotation parameters, the amount of water vapour in the atmosphere, and changes of the gravity field. Primarily we use space geodetic methods such as geodetic very long baseline interferometry (VLBI) and global navigation satellite systems (GNSS), as well as ground based radiometers, and gravimeters. This is augmented by corresponding theoretical work and model calculations.
Global environmental measurements and modelling
Our goal is to provide and interpret global datasets relevant to current and future environmental problems. This goal will be achieved using complex mathematical models of both the measurement techniques and the earth-atmosphere systems.
Optical remote sensing
The optical remote sensing group is working with development and application of groundbased optical remote sensing methods for atmospheric measurements. In specific we are focusing on tailoring instruments and measurement strategies to address specific measurement problems related to environmental research and monitoring needs. The work is very international and field oriented, and spans a large variety of disciplines.
Radar Remote Sensing
Research in the Radar Remote Sensing Group is based on understanding of radar systems and electromagnetic scattering. Main applications studied are forestry, oceanography and synthetic aperture radar (SAR) processing. Accurate, large-scale forest mapping is required for understanding of the global carbon cycle. Wind fields, ocean currents, and sea ice are other important elements of the climate system. For SAR processing, our interest is development of signal processing algorithms.