The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-1/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 745–748, 2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 745–748, 2015

  11 Dec 2015

11 Dec 2015


S. Youneszadeh, N. Amiri, and P. Pilesjo S. Youneszadeh et al.
  • Dept. of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
  • Dept. of Geoinformatics, Munich University of Applied Sciences, Munich, Germany
  • Faculty of Geoinformation science and Earth observation, ITC, University of Twente, Enschede, the Netherlands

Keywords: GIS, remote sensing, MODIS, land surface temperature, LST

Abstract. The Netherlands is a small country with a relatively large population which experienced a rapid rate of land use changes from 2000 to 2008 years due to the industrialization and population increase. Land use change is especially related to the urban expansion and open agriculture reduction due to the enhanced economic growth. This research reports an investigation into the application of remote sensing and geographical information system (GIS) in combination with statistical methods to provide a quantitative information on the effect of land use change on the land surface temperature. In this study, remote sensing techniques were used to retrieve the land surface temperature (LST) by using the MODIS Terra (MOD11A2) Satellite imagery product. As land use change alters the thermal environment, the land surface temperature (LST) could be a proper change indicator to show the thermal changes in relation with land use changes. The Geographical information system was further applied to extract the mean yearly land surface temperature (LST) for each land use type and each province in the 2003, 2006 and 2008 years, by using the zonal statistic techniques. The results show that, the inland water and offshore area has the highest night land surface temperature (LST). Furthermore, the Zued (South)-Holland province has the highest night LST value in the 2003, 2006 and 2008 years. The result of this research will be helpful tool for urban planners and environmental scientists by providing the critical information about the land surface temperature.