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Hejabi, Somayeh, Simaei, Esmaeil, Tohidi, Azad, Motiei, Hamideh. (1403). Analysis of the Risk of Late Spring Frosts using Satellite Remote Sensing Products in West Azerbaijan Province. پژوهش های میوه کاری, 1(1), 50-61. doi: 10.30466/jwec.2025.56032.1006
Somayeh Hejabi; Esmaeil Simaei; Azad Tohidi; Hamideh Motiei. "Analysis of the Risk of Late Spring Frosts using Satellite Remote Sensing Products in West Azerbaijan Province". پژوهش های میوه کاری, 1, 1, 1403, 50-61. doi: 10.30466/jwec.2025.56032.1006
Hejabi, Somayeh, Simaei, Esmaeil, Tohidi, Azad, Motiei, Hamideh. (1403). 'Analysis of the Risk of Late Spring Frosts using Satellite Remote Sensing Products in West Azerbaijan Province', پژوهش های میوه کاری, 1(1), pp. 50-61. doi: 10.30466/jwec.2025.56032.1006
Hejabi, Somayeh, Simaei, Esmaeil, Tohidi, Azad, Motiei, Hamideh. Analysis of the Risk of Late Spring Frosts using Satellite Remote Sensing Products in West Azerbaijan Province. پژوهش های میوه کاری, 1403; 1(1): 50-61. doi: 10.30466/jwec.2025.56032.1006

Analysis of the Risk of Late Spring Frosts using Satellite Remote Sensing Products in West Azerbaijan Province

Water and Environmental Challenges
دوره 1، شماره 1، فروردین 2025، صفحه 50-61    اصل مقاله (989.08 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.30466/jwec.2025.56032.1006
نویسندگان
Somayeh Hejabi* 1؛ Esmaeil Simaei2؛ Azad Tohidi3؛ Hamideh Motiei4
1Associate Professor, Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran
2General Director of Administration of Meteorology of West Azerbaijan Province, Urmia, Iran
3Head of Applied Meteorology Research Group of West Azerbaijan Meteorology, Urmia, Iran
4Weather Forecaster, Administration of Meteorology of West Azerbaijan Province, Urmia, Iran
چکیده
This study investigates the risk of late spring frosts in West Azerbaijan province by developing a minimum air temperature estimation model. Utilizing daily minimum air temperature data from 20 meteorological stations, satellite-derived land surface temperature, and auxiliary data, a statistical model was developed. Subsequently, daily minimum temperature maps for potential spring frost months (in the period 2000-2023) were generated to analyze late spring frost risk. This research provides two novel tools: a code to estimate frost occurrence risk for specific day numbers and temperature thresholds, and another code to estimate the day number corresponding to a given risk percentage and temperature threshold. The frost risk estimation code offers 17,690 possible scenarios, while the day number estimation code provides 2,755, enabling detailed frost risk analysis for various plant sensitivities and optimized planting date determination. The resulting frost risk maps are valuable for determining suitable crop cultivation times and locations, considering varying plant sensitivity thresholds to frost.
کلیدواژه‌ها
Frost Risk Map؛ Land Surface Temperature؛ Minimum Air Temperature Model؛ MODIS Product
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