Volume 25, Issue 79 (12-2025)                   jgs 2025, 25(79): 0-0 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nasiri D, Borna R, Zohorian pordel M. (2025). Temporal and spatial monitoring of drought using remote sensing technique (case study of Khuzestan province). jgs. 25(79),
URL: http://jgs.khu.ac.ir/article-1-4220-en.html
1- Ahvaz Islamic Azad University, geography group
2- Ahvaz Islamic Azad University, geography group , rborna22@gmail.com
Abstract:   (5834 Views)
Widespread and frequent droughts in recent decades in Khuzestan province have become one of the most important challenges of this province. The use of remote sensing products in temporal and spatial monitoring of drought can play a key role in managing this risk and reducing and adjusting its destructive effects. The main goal of this research is to provide a remote sensing index for temporal and spatial monitoring of drought in Khuzestan province and its validation using station meteorological drought indices. In this research, by using the products of vegetation (MOD13C2) and land surface temperature (MOD11C3) of MODIS sensor, a drought index based on vegetation called VHI plant health index was produced. SPI Meteorological Drought Index, which was based on station rainfall data during the statistical period of 2000-2012, was used to evaluate and quantify this index. The comparison of VHI drought index with three-month SPI meteorological drought index values showed a significant correlation between 0.68 and 0.75. By identifying 4 years with widespread and relatively severe drought in Khuzestan province (based on both VHI and SPI indices), which included the years 2000, 2005, 2012, 2015, the spatial distribution pattern of meteorological drought and VHI plant drought to In general, it indicated that the northern parts of the province were generally involved in mild to moderate droughts and the southern parts were generally involved in moderate to severe droughts. The spatial correlation matrix based on the number of 2500 pixels with dimensions of 5x5 km, which included VHI and SPI values of selected drought years, indicated the existence of a significant spatial correlation between the two mentioned indicators. In the widespread drought of 2000, at the level of Khuzestan province, two drought indices VHI and SPI, the correlation was equal to 0.47, and in 2005, equal to 0.35, and
     
Type of Study: Research | Subject: climatology

References
1. بارونیان ایرج؛ برنا رضا؛ ظهوریان منیژه؛ مرشدی جعفر. (1400). آشکار‌سازی تاثیرگذاری تغییرات کاربری زمین‌ها در توزیع فضایی غلظت گردوغبار استان خوزستان با استفاده از محصولات سنجنده MODIS ، جغرافیا و پایداری محیط، 11(3): 97-114
2. زارع خورمیزی هادی؛ غفاریان مالمیری حمیدرضا. (1396). پایش خشکسالی و تأثیر آن بر پوشش گیاهی با استفاده از فناوری های سنج شاز دور بررسی موردی: استان یزد، سالهای 1994 تا 2014، نشریه مدیریت بیابان، 10(5): 68-86
3. زرگران پریما؛ بذرافشان جواد؛ شریعتمداری زهرا؛ حجابی سمیه؛ کمالی سعیده. (1398). پایش روزانه تأثیر خشکسالی بر پوشش گیاهی با استفاده از داده‌های بارش شبکه INTERIM و تصاویر سنجنده MODIS (مطالعه موردی: استان کرمانشاه)، نشریه هواشناسی کشاورزی، 7(2): 3-14
4. شهپری ثانی داود؛ میرزایی محمد؛ محمودیان حسین. (1398). بررسی میزان تمایل به مهاجرت جوانان از استان خوزستان: مسائل متعاقب و عوامل زمینه‌ساز، بررسی مسائل اجتماعی ایران، 10(1): 119-143
5. موغلی مرضیه.(1399). پایش تغییرات پوشش گیاهی در اثر خشکسالی در حوضه آبریز درودزن با استفاده از تصاویر MODIS، فصلنامه جغرافیای طبیعی، 12(49): 85-107
6. نوابی نغمه؛ مقدسی مهنوش؛ نجی خرم ناصر. (1400). ارزیابی پایش خشکسالی کشاورزی با استفاده از شاخص‌های مختلف بر اساس داده‌های زمینی و سنجش از دور، مطالعه موردی: حوزه آبخیز دریاچه ارومیه، مهندسی و مدیریت آبخیز ،13(1): 1-12
7. میرموسوی سیدحسین؛ کریمی حمیده؛ (1392)، مطالعه‌ی اثر خشکسالی بر روی پوشش گیاهی با استفاده از تصاویر سنجنده‌ی MODIS مورد: استان کردستان، نشریه جغرافیا و توسعه،11(31): 57-76
8. Aulia, M.R., Liyantono Setiawan, Y., Fatikhunnada, A., (2016), Drought detection of West Java's paddy field using MODIS EVI satellite images (case study: Rancaekek and Rancaekek Wetan), Procedia Environmental Sciences, 33: 646 - 653. [DOI:10.1016/j.proenv.2016.03.119]
9. Jiang, Y., Wang, R., Peng, Q., Wu, X., Ning, H., Li, C., (2018), The relationship between drought activity and vegetation cover in Northwest China from 1982 to2013, Natural Hazards, 92(1): 145-163 [DOI:10.1007/s11069-018-3282-3]
10. Karnieli, A., Bayasgalan, M., Bayarjargal, Y., Agam, N., Khudulmur, S., Tucker, C. J., (2006), Comments on the Use of the Vegetation Health Index over Mongolia, International Journal of Remote Sensing,. 27(10): 2017 -2024. [DOI:10.1080/01431160500121727]
11. Mairon, A., Eduardo, M., (2020). Drought Monitoring Based on Remote Sensing in a Grain-Producing Region in the Cerrado-Amazon Transition, Brazil, 12(12): 3366 [DOI:10.3390/w12123366]
12. Mckee, T. B., Doesken, N. J., Kleist, J., (1993), The relationship of drought frequency and duration to time scales, 8th Conference of Applied Climatology, Aneheim, 179-184
13. Mukherjee, T., Mukherjee, S., Mukhopadhaya, A., Roy, A. K., & Dutta, S., (2014), Drought monitoring of chhattisgarh using different indices based on remote sensing data, Climate Change and Biodiversity, 85-101. [DOI:10.1007/978-4-431-54838-6_7]
14. Sivakumar, M. V. K., Motha, R. P., Wilhite, D. A., and Qu, J. J., (2011), Towards a compendium on national drought policy." Proc. of an Expert Meeting on the Preparation of a Compendium on National Drought Policy, World Meteorological Organization, Washington DC, USA,1-135.
15. Thenkabail, P. S., Gamage, M. S. D. N., Smakhtin, V. U., (2004), The use of remote sensing data for drought assessment and monitoring in Southwest Asia, Research Report 85, International water management Institute.
16. Woli, P., Jonesb, J. W., Ingramb, K. T., and Fraisseb, C. W., (2012), Agricultural reference index for drought (ARID),Agronomy Journal,104(2): 287-300 [DOI:10.2134/agronj2011.0286]
17. Wylie, B. K., Meyer D. J., Tieszen, L. L.. Mannel, S., (2017). Satellite Mapping Of Surface Biophysical Parameters At The Biome Scale Over The North American Grasslands: A Case Study, Remote Sensing Of Environment, 79 (2-3): 266-278. [DOI:10.1016/S0034-4257(01)00278-4]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)