Evaluation of the quality of climate time series maps extracted from GEE: A case study of Arasbaran Region - Iran


  • Sajjad Moshiri
  • Khalil Valizadeh Kamran
  • Omid Rafieyan
  • Ahmad Nikdel Monavvar
  • Mohammad Ebrahim Ramazani


Climate, Meteorological station, Remote sensing, GEE, Arasbaran


As one of the 13 biosphere reserves of Iran, the precious forests of Arasbaran are exposed to damage caused by climate change. For its protection, management and continuous monitoring, it is necessary to obtain accurate, correct and timely environmental data and information, including climate data. Due to the insufficient number and inappropriate distribution of meteorological stations in the region, the use of (RS&GIS) data in the GEE platform to extract climatic parameters was put on the agenda. These data were prepared either in the form of existing products or by applying valid formulas on satellite images. Daily minimum, daily maximum and daily average temperatures, along with the temperature of the earth's surface every 16 days (resulting from Landsat 8) as well as daily precipitation, monthly cumulative precipitation and daily maximum wind speed, related to the first six months of the year 1400, are from both sources of information mentioned (GEE and the aforementioned meteorological station) were extracted and compared. Examining the relationship between these climate maps (produced in GEE) with the meteorological data recorded at the Jolfa meteorological station (for example), except for the maximum daily wind speed parameter, other parameters of daily cumulative precipitation, minimum, maximum and daily average temperature, showed a good correlation and the data can be trusted.