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Lund Earth Observation research group

The Lund Earth Observation (LEO) research group uses Earth observation data in a wide variety of environmental research projects, particularly focusing on the distribution and functioning of land vegetation.Examples of our work include:

  • Estimating carbon uptake by land vegetation
  • Monitoring vegetation conditions in African drylands
  • Developing methods for assessing the impact of insect damage on forest vegetation
  • Extracting vegetation phenology information from satellite time series data
  • Monitoring biodiversity in semi-arid grasslands

LEO research

Our Earth observation research and education dates back to the early 1980's when the research focus was on African drylands and desertification. Today, we have a wide range of research activities related to environment and climate. We combine data from satellite sensors with other data sources for studying land vegetation and ecosystems to better understand both natural systems and human influence on them. We are active in arctic, sub-arctic, boreal, temperate and tropical ecosystems, and combine satellite sensor data analysis with fieldwork and use of measurement data for calibration and validation purposes. Our main research fields are listed here:

  • Biodiversity. The focus of our research is on remote sensing for mapping semi-natural grasslands biodiversity in Sweden.
  • Carbon estimation. This research includes modeling and estimation of biophysical parameters, such as leaf area index (LAI) and fraction of incoming photosynthetically active radiation absorbed by vegetation (FAPAR), for estimation of carbon dioxide uptake. We are active mainly in Nordic boreal forests and African semi-arid ecosystems.
  • Dryland research. With a strong focus on temporal dynamics and variability in the African Sahel region, this research also includes other dryland ecosystems.
  • Forest monitoring. This activity monitors forest damage caused by disturbance events in a changing climate.
  • Spectral measurements. A network for near-ground spectral sampling.
  • Vegetation phenology. This research aims at estimation of vegetation phenology using time series of Earth observation data. Mechanistic phenology models are formulated and applied in order to build scenarios of effects on forest phenology of future climate changes.
Page Manager:

Contact information

Lars Eklundh
lars [dot] eklundh [at] nateko [dot] lu [dot] se
Phone: +46462229655



research in field

research equipment in field


Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund