Lund University is celebrating 350 years.


Javascript is not activated in your browser. This website needs javascript activated to work properly.
You are here

People and publications

Please use Lund University Publications (LUP) or click on the names to the right to find our remote sensing publications

Ph.D. theses (2007-today)

  • Sjöström M., 2012: Satellite remote sensing of primary production in semi-arid Africa.
  • Schubert, P., 2011: Model development for estimating carbon dioxide exchange in Nordic forests and peatlands with MODIS time series data.
  • Tagesson, T., 2011: Land-atmosphere exchange of carbon in a high-Arctic wet tundra ecosystem.
  • Johansson, L., 2008: Semi-natural grasslands: landscape, history and plant species diversity.
  • Eriksson, H., 2007: Leaf Area Index of Scandinavian Forests Methods Using in situ and Remotely Sensed Data.
  • Olofsson, P., 2007: Remote Sensing of Carbon Balance across Scandinavian Forests.

M.Sc. theses (2007-today)

  • Gevaert, C., 2014: Combining hyperspectral UAV and mulitspectral FORMOSAT-2 imagery for precision agriculture applications.
  • Javid, H., 2014: Snowmelt and runoff assessment of Talas River Basin using remote sensing approach.
  • Nekrasov, O., 2014: Processing of MODIS Vegetation Indices for analysis of agricultural droughts in the southern Ukraine between the years 2000-2012.
  • Persson, S., 2014: Estimating leaf area index from satellite data in deciduous forests of southern Sweden.
  • Van Tiggelen, J., 2014: Assimilation of satellite data and insitu data for the improvement of global radiation maps in the Netherlands.
  • Veysipanah, M., 2014: Polynomial trends of vegetation phenology in Sahelian to equatorial Africa using remotely sensed time series from 1983 to 2005.
  • Löfgren, O., 2013: Using Worldview-2 satellite imagery to detect indicators of high species diversity in grasslands.
  • Morin, K., 2013: Mapping moth induced birch forest damage in northern Sweden, with MODIS satellite data.
  • Palm, E., 2013: Finding a method for simplified biomass measurements on Sahelian grasslands.
  • Shendryk, I., 2013: Integration of LiDAR data and satellite imagery for biomass estimation in conifer-dominated forest.
  • Zhou, Y., 2013: Inter-annual memory effects between soil moisture and NDVI in the Sahel.
  • Ahmed, M., 2012: Significance of soil moisture on vegetation greenness in the African Sahel from 1982 to 2008.
  • Alwesabi, M., 2012: MODIS NDVI satellite data for assessing drought in Somalia during the period 2000-2011.
  • Zhang, N., 2012: Automated plane detection and extraction from airborne laser scanning data of dense urban areas.
  • Ghezahai, S. B., 2011: Assessing vegetation changes for parts of the Sudan and Chad during 2000-2010 using time series analysis of MODIS-NDVI.
  • Sallaba, F., 2011: The potential of support vector machine classification of land use and land cover using seasonality from MODIS satellite data.
  • Timiza, W., 2011: Climate variability and satellite : observed vegetation responses in Tanzania.
  • Gunlycke, N. & Tuomaala, A., 2011: Detecting forest degradation in Marakwet district, Kenya, using remote sensing and GIS : in cooperation with SCC-Vi Agroforestry : a minor field study.
  • Jahan, R., 2010: Vegetation indices, FAPAR and spatial seasonality analysis of crops in southern Sweden.
  • Arfat, Y., 2010: Land use / land cover change detection and quantification : a case study in eastern Sudan.
  • Jin, H., 2010: Drivers of global wildfires - statistical analyses.
  • Guzinski, R., 2010, Comparison of vegetation indices to determine their accuracy in predicting phenology of Swedish ecosystems.
  • Bergman, C., 2009, En undersökning av samband mellan förändringar i fenologi och temperatur 1982-2005 med hjälp av GIMMS datasetet och klimatdata från SMHI.
  • Persson, P., 2007: Investigating the impact of ground reflectance on satellite estimates of forest leaf area index.
Page Manager:

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