The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 155–160, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-155-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 155–160, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-155-2017

  26 Sep 2017

26 Sep 2017

SHIFTS OF START AND END OF SEASON IN RESPONSE TO AIR TEMPERATURE VARIATION BASED ON GIMMS DATASET IN HYRCANIAN FORESTS

K. H. Kiapasha1, A. A. Darvishsefat1, N. Zargham1, Y. Julien2, J. A. Sobrino2, and M. Nadi3 K. H. Kiapasha et al.
  • 1Dept. of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran
  • 2Global Change Unit, Image Processing Laboratory, University of Valencia, P.O. Box 22085, E-46071 Valencia, Spain
  • 3Dept. of Irrigation, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Iran

Keywords: Climate change, start of season, end of season, GIMMS NDVI3g, Hyrcanian forest

Abstract. Climate change is one of the most important environmental challenges in the world and forest as a dynamic phenomenon is influenced by environmental changes. The Hyrcanian forests is a unique natural heritage of global importance and we need monitoring this region. The objective of this study was to detect start and end of season trends in Hyrcanian forests of Iran based on biweekly GIMMS (Global Inventory Modeling and Mapping Studies) NDVI3g in the period 1981-2012. In order to find response of vegetation activity to local temperature variations, we used air temperature provided from I.R. Iran Meteorological Organization (IRIMO). At the first step in order to remove the existing gap from the original time series, the iterative Interpolation for Data Reconstruction (IDR) model was applied to GIMMS and temperature dataset. Then we applied significant Mann Kendall test to determine significant trend for each pixel of GIMMS and temperature datasets over the Hyrcanian forests. The results demonstrated that start and end of season (SOS & EOS respectively) derived from GIMMS3g NDVI time series increased by -0.16 and +0.41 days per year respectively. The trends derived from temperature time series indicated increasing trend in the whole of this region. Results of this study showed that global warming and its effect on growth and photosynthetic activity can increased the vegetation activity in our study area. Otherwise extension of the growing season, including an earlier start of the growing season, later autumn and higher rate of production increased NDVI value during the study period.