Volume XLII-4/W18
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W18, 51–56, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W18-51-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W18, 51–56, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W18-51-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Oct 2019

18 Oct 2019

CHARACTERIZING SPATIAL AND TEMPORAL TRENDS OF SOIL AND SURFACE PROPERTIES CHANGES IN AN AREA WITH URBAN, BARE SOIL AND WETLAND COVERS: A 30-YEAR CASE STUDY IN GOMISHAN, IRAN

S. K. Alavipanah1, M. Konyushkova2, S. Hamzeh1, A. A. Kakroodi1, A. Heidari3, M. K. Firozjaei1, and N. Mijani1 S. K. Alavipanah et al.
  • 1Dept. of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
  • 2Lomonosov Moscow State University, Moscow
  • 3Dept. of Soil Science, Faculty of Agriculture, University of Tehran, Tehran, Iran

Keywords: Spatial and Temporal Changes, Surface Characteristics, Soil, Landsat, MODIS, Gomishan

Abstract. Climate is one most important factors that can reconstructs the formation of soils. Accordingly, the objective of this study is characterizing spatial and temporal trends of soil and surface properties changes in Gomishan region during the period of 2017–1987. For this purpose, 432 monthly product of LST (MOD11C3) and vegetation cover (MOD13C2) of MODIS sensor and 3 Landsat images were used. Single-channel algorithm and various spectral indexes were used to modeling of Land surface temperature (LST) and surface properties including brightness, greenness, wetness and salinity. Then, based on the soil line analyse, pixels with the full cover of soil were extracted. Finally, trend of LST and surface properties variations were investigated for these pixels and whole studied area. The average of LST and vegetation cover changes in January, February, March and April are higher than other months. The variance of LST and surface properties for Gomishan wetland was higher than other regions of the studied area. The values of Soil salinity index in 2000 year was higher than 1987 and 2017 years. The LST of pixels with full cover of soil in the north of study area was higher than the south. Also, wetness of these pixels in the northern regions is lower than the southern regions of the study area. The results of study indicate, spatial and temporal variations of the surface properties of the Gomishan area derived from remote-sensing data were high.