Comparative analysis of NDVI and CHIRPS-based SPI to assess drought impacts on crop yield in Basrah Governorate, Iraq

Document Type : Research Paper

Authors

1 Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

2 Surveying and Geomatics Engineering Department, Faculty of Engineering, Tishk International University, Erbil 44001, Kurdistan Region, Iraq

Abstract

Drought is a climatological phenomenon that occurs across all climate zones of the world. It causes environmental and economic loss and can negatively affect agricultural profit, especially in dry and semi-arid areas. This study used the Standardized Precipitation Index (SPI) and Normalized Difference Vegetation Index (NDVI) to model drought impacts on agricultural production. The role of meteorological and hydrological parameters was considered simultaneously. The results revealed that: (1) the increase of drought intensity leads to the reduction of crop production, while in the case of high-level drought, the production stays consistent; (2) NDVI could model the impacts of drought on crops production (R2 = 0.60 and RMSE = 0.42); (3) NDVI had a better ability for showing SPI fluctuations, but in higher drought intensities, it was less sensitive to SPI fluctuations; (4) the spatial pattern of drought in the study area showed that the northern parts of the Basrah Governorate have the highest sensitivity to drought; (5) the temporal pattern of long-term SPI showed a high level of risk for agricultural activities due to drought; and (6) air temperature and humidity are the main meteorological parameters of crops production affecting the interpretation of the impacts of drought on agriculture production in Basrah, Iraq.
 

Keywords

References

Alavipanah, SK, Damavandi, AA, Mirzaie, S, Rezaie, A, Matinfar, HZ, Hamzeh, S, Teymori, H & Javad Zarrin, I 2016, Remote sensing application in evaluation of soil characteristics in desert areas. Natural Environment Change, 2(1): 1-24, https://jnec.ut.ac.ir/article_59485.html.
Abdel-Hamid, A, Dubovyk, O, Graw, V & Greve, K 2020, Assessing the impact of drought stress on grasslands using multi-temporal SAR data of Sentinel-1: a case study in Eastern Cape South Africa. European Journal of Remote Sensing, 53: 3-16.
Abhilash, S, Krishnakumar, E, Vijaykumar, P, Sahai, A, Chakrapani, B & Gopinath, G 2019, Changing characteristics of droughts over Kerala, India: inter-annual variability and trend. Asia-Pacific Journal of Atmospheric Sciences, 55: 1-17.
Al-Haboby, A, Breisinger, C, Debowicz, D, El-Hakim, AH, Ferguson, J, Van Rheenen, T & Telleria, R 2014, Agriculture for development in Iraq? Estimating the impacts of achieving the agricultural targets of the national development plan 2013 2017 on economic growth, incomes, and gender equality. International Food Policy Research Institut, 1-19.
Al-Quraishi, AMF, Qader, SH & Wu, W 2020, Drought monitoring using spectral and meteorological based indices combination: a case study in Sulaimaniyah, Kurdistan Region of Iraq, In Al-Quraishi, A, Negm, A, (eds), Environmental Remote Sensing and GIS in Iraq. Springer Water, 377-393.
Al-Saadi, A 1998, Geographical distribution of vegetables growing in Iraq. Journal of the Gulf and Arabian Peninsula Studies, 14: 131-158.
Al-Timimi, YK & Al-Jiboori, MH 2013, Assessment of spatial and temporal drought in Iraq during the period 1980-2010. International Journal of Energy and Environmental, 4: 291-302.
Almamalachy, YS, Al-Quraishi, AMF & Moradkhani, H 2020, Agricultural drought monitoring over Iraq utilizing MODIS products, in Al-Quraishi, A, Negm, A, (eds.), Environmental Remote Sensing and GIS in Iraq. Springer Water, 253-278.
Beg, AaF & Al-Sulttani, AH 2020, Spatial assessment of drought conditions over Iraq using the standardized precipitation index (SPI) and GIS techniques, in Al-Quraishi, A, Negm, A, (eds), Environmental remote sensing and GIS in Iraq. Springer  Water, Springer, 447-462.
Bracewell, R 1965, Pentagram notation for cross correlation. The Fourier transform and its applications. New York: McGraw-Hill, 46: 243.
Buddenbaum, H, Rock, G, Hill, J & Werner, W 2015, Measuring stress reactions of beech seedlings with PRI, fluorescence, temperatures and emissivity from VNIR and thermal field imaging spectroscopy. European Journal of Remote Sensing, 48: 263-282.
Carlson, TN, Perry, EM & Schmugge, TJ 1990, Remote estimation of soil moisture availability and fractional vegetation cover for agricultural fields. Agricultural and Forest Meteorology, 52: 45-69.
Chander, G, Markham, BL & Helder, DL 2009, Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113: 893-903.
Darvishi Boloorani, A, Neisani Samani, N, Mirzaei, S, Bahrami, HA & Alavipanah, SK 2020a, Remote Sensing and GIS for Dust Storm Studies in Iraq Environmental Remote Sensing and GIS in Iraq, in Al-Quraishi, A, Negm, A, (eds.), Environmental remote sensing and GIS in Iraq. Springer Water, 333-375, https://doi.org/10.1007/978-3-030-21344-2_14.
Darvishi Boloorani, A, Ranjbar, S, Mirzaei, S, Bahrami, HA, Mirzapour, F & Abbaszadeh Tehrani, N 2020b, Spectral behavior of Persian oak under compound stress of water deficit and dust storm. International Journal of Applied Earth Observation, 88: 102082, https://doi.org/10.1016/j.jag.2020.102082.
Douabul, AaZ, Maarofi, SSA, Al-Saad, HT & Al-Hassen, S 2013, Gaseous pollutants in Basra city, Iraq. Air, Soil and Water Research, 6, ASWR. S10835.
Du, L, Song, N, Liu, K, Hou, J, Hu, Y, Zhu, Y, Wang, X, Wang, L & Guo, Y 2017. Comparison of two simulation methods of the temperature vegetation dryness index (TVDI) for drought monitoring in semi-arid regions of China. Remote Sensing, 9: 177.
Du, L, Tian, Q, Yu, T, Meng, Q, Jancso, T, Udvardy, P & Huang, Y 2013. A comprehensive drought monitoring method integrating MODIS and TRMM data. International Journal of Applied Earth Observation, 23: 245-253.
Ewaid, SH, Abed, SA & Al-Ansari, N 2019. Crop water requirements and irrigation schedules for some major crops in Southern Iraq. Water, 11: 756.
Fadhil, AM 2009. Land degradation detection using geo-Information technology for some sites in Iraq. Al-Nahrain Journal of Science, 12: 94-108.
Fadhil, AM 2011. Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. International Journal of Digital Earth, 4: 239-257.
Fadhil, AM 2013. Sand dunes monitoring using remote sensing and GIS techniques for some sites in Iraq.  Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 876206.
Friedl, MA, Mciver, DK, Hodges, JC, Zhang, XY, Muchoney, D, Strahler, AH, Woodcock, CE, Gopal, S, Schneider, A & Cooper, A 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83: 287-302.
Funk, C, Peterson, P, Landsfeld, M, Pedreros, D, Verdin, J, Shukla, S, Husak, G, Rowland, J, Harrison, L & Hoell, A 2015, The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data, 2: 1-21.
Gaznayee, HaA & Al-Quraishi, AMF 2019. Analysis of agricultural drought, rainfall, and crop yield relationships in Erbil Province, the Kurdistan region of Iraq based on Landsat time-series MSAVI2. Journal of Advanced Research in Dynamical and Control Systems, 11: 536-545.
Gibbs, W & Maher, J 1967. Rainfall deciles as drought indicators, Bureau of Meteorology Bulletin no. 48. Cth Australia, 29.
Hagman, G, Beer, H, Bendz, M & Wijkman, A 1984, Prevention better than cure. Report on Human and Environmental Disasters in the Third World, 2.
Hameed, LJK 2013. The reality of the agricultural sector in Basrah Governorate and its future visions. Basra Stud Journal, 15: 310-336.
Ismail, SaA 2019. Classification of the intensity of precipitation daily rainfall patterns in the city of Sulaymaniyah and trends during the seasons stretching from 1992-2015. J Al-Frahedis Art, 316-345.
Kibret, KS, Marohn, C & Cadisch, G 2020, Use of MODIS EVI to map crop phenology, identify cropping systems, detect land use change and drought risk in Ethiopia–an application of Google Earth Engine. European Journal of Remote Sensing, 53: 176-191.
Kogan, FN 1990. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing, 11: 1405-1419.
Mckee, TB, Doesken, NJ & Kleist, J 1993, The relationship of drought frequency and duration to time scales.  Proceedings of the 8th Conference on Applied Climatology, Boston, 179-183.
Mishra, AK & Singh, VP 2010, A review of drought concepts. Journal of Hydrology, 391: 202-216.
Mohamed, A-RM, Hussain, NA, Al-Noor, SS, Mutlak, FM, Al-Sudani, IM & Mojer, AM 2012, Ecological and biological aspects of fish assemblage in the Chybayish marsh, Southern Iraq. Ecohydrology & Hydrobiology, 12: 65-74.
Narasimhan, B & Srinivasan, R 2005, Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agricultural and Forest Meteorology, 133: 69-88.
Palmer, WC 1965, Meteorological drought, US Department of Commerce, Weather Bureau, 45: 1-58.
Salman, SA, Shahid, S, Ismail, T, Chung, E-S & Al-Abadi, AM 2017, Long-term trends in daily temperature extremes in Iraq. Atmospheric Research, 198: 97-107.
Sandholt, I, Rasmussen, K & Andersen, J 2002, A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79: 213-224.
Unesco, 2014, Integrated drought risk management—DRM. National Framework for Iraq, 2014 UNESCO: London, United Kingdom, 28 p.
Van Rooy, M 1965, A rainfall anomally index independent of time and space, Notos, 4: 43-48
Wilhite, DA 2000, Drought as a natural hazard: concepts and definitions. Drought Mitigation Center Faculty Publications, University of Nebraska, Lincoln, 22 p.
Wu, H, Hayes, M, Weiss, A & Hu, Q 2001, An Evaluation of the Standard Precipitation Index, the China-Z index and the Statistical Z-score. International Journal of Climatology, 6: 745-758.
Yan, M, Kawamata, Y & Baran, PS 2017, Synthetic organic electrochemical methods since 2000: on the verge of a renaissance. Chemical Reviews, 117: 13230-13319.
Yaseen, BR, Al Asaady, KA, Kazem, AA & Chaichan, MT 2016. Environmental impacts of salt tide in Shatt al-Arab-Basra/Iraq. Journal of Environmental Science, Toxicology and Food Technology, 10: 35-43.
Yevjevich, VM 1967, An objective approach to definitions and investigations of continental hydrologic droughts, An. Colorado State University, 25 p.
Caspian Journal of Environmental Sciences
Volume 19, Issue 3
July 2021
Pages 547-557

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