Geomatics and remote sensing

To better understand and describe the processes related to the Earth’s physical features and the society it is increasingly important to use remote sensing and geographical information systems (GIS) as tools for managing large amounts of spatial and geographically-referenced information.

Risk of avalanches and landslides direction is an example of what can be calculated using a geometric analysis. Illustration: Department of Geosciences.

About the group

Geomatics includes collection, management, integration, representation, analysis, modeling, and visualization of geographically-referenced information. Data is collected by mapping using GPS, or by remote sensing from aerial, satellite or ground based sensors. Data is further managed and analyzed in a geographical information system (GIS).

Geomatic tools and techniques are used by all our research groups, both within environmental studies, hydrology, water resources, geomorphology and geohazards. Examples of projects are geohazards and slope instability, glacier mapping and change detection, permafrost modeling, snow distribution and landform analysis.

Project areas in brief:

Spaceborne optical remote sensing of glaciers

Tasman Glacier,
New Zealand.

Spaceborne optical remote sensing of glaciers

  • Glacier mapping and change detection
  • Digital elevation models (DEM) from stereo
  • Ice flow
  • Water resources and glacier hazards
  • Mainland Norway, Svalbard, Alps, Himalaya, New Zealand, Caucasus, Central Asia, ...

Remote sensing of geohazards

Glacier lakes and outburst,

Remote sensing of geohazards

  • Glacier-related hazards (floods, avalanches, surges, etc.)
  • Permafrost-related hazards (slope instability, debris flows, etc.)
  • Landslides
  • Hazard assessment and disaster management
  • Mainland Norway, Svalbard, Alps, Himalaya, Caucasus, Central Asia, ...

SAR and SAR interferometry

SAR interferogram over
Austfonna, Svalbard.

SAR and SAR-interferometry

  • DEMs from spaceborne SAR
  • Differential SAR interferometry
  • SAR speckle tracking
  • High-resolution SAR
  • Persistent scatterer interferometry

Ruth Glacier, Alaska.

Image matching algorithms

  • Spatial domain matching
  • Frequency domain matching
  • SAR speckle tracking
  • Sub-pixel matching
  • Applications to glaciers, ice shelves, permafrost, landslides, etc.

Combination of Optical and SAR satellite data

  • Glacier mapping and Glacier volume changes
  • Ice flow


Permafrost creep

  • Rockglacier surface displacements and velocity fields
  • Volume changes
  • Climate impact and hazards
  • Study Areas: Swiss Alps, Svalbard, Canada
Digital fotogrammetri

Digital photogrammetry

  • DEM generation
  • Elevation changes
  • Terrain displacements

Average LST in Iceland
from MODIS.

Remote sensing of Land Surface Temperatures (LST)

  • MODIS LST provides daily measurements @ 1km resolution worldwide
  • 10 year time series
  • Input for thermal permafrost modeling
  • Study Areas: Norway, Svalbard, Siberia, Mongolia, Iceland, Greenland

Modeled ground temperatures
and validation measurements
at the JuvflYe site.

Thermal permafrost models

  • Spatially distributed modeling of ground temperatures ased on surface data sets (e.g. air temperature, snow depth)
  • Models of different complexity – Cryogrid 1, 2, 3
  • Model runs on the ABEL Computing Cluster, UiO.
Tags: Remote sensing, DEM, GIS, GPS, Photogrammetry, Geodesi
Published Oct. 29, 2013 10:09 AM - Last modified Aug. 4, 2016 2:10 PM