Abstract
Drought has dramatically affected Iraq throughout the last decades, which were characterized by a large drop in rainfall, and its main rivers discharge in general. Three spectral indices were derived from the Landsat images of 1990, 2007, and 2008 as indices of soil, vegetation, and moisture to monitor the drought and its impacts. The derived indices were the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and the Normalized Differential Water Index (NDWI). The fourth drought index was the Standardized Precipitation Index (SPI), which has been used as a meteorological drought index. The aim of this chapter is to investigate the role of integration of vegetation indices (NDVI in this study) and SPI as a combined index (NDVI-SPI) for drought monitoring in Sulaimaniyah, Kurdistan region of Iraq in 1990, 2007, and 2008. The results showed a significant decrease in the vegetative cover by 28.6% in 2008 in compared with that of 2007. However, results of the combined NDVI-SPI indices maps emphasized the harsh impact of drought on the vegetative cover, which occurred in 2008. In particular, the results revealed a significant increase in areas of the extreme, severe, moderate drought classes in 2008 by percentage of 81.2% more than in 2007. On the other hand, Dukan Lake’s surface area in the study site suffered a significantly shrunk by 16.5 and 32.5% in 2007 and 2008, respectively, compared with its total size in 1990. The study concluded that the use of a combination of NDVI-SPI indices provides more reliable results for drought monitoring than any single index in the study area.
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References
Almamalachy YS, Al-Quraishi AMF, Moradkhani H (2019) Agricultural drought monitoring over Iraq utilizing MODIS products. In: Al-Quraishi AMF, Negm AM (eds), Environmental Remote Sensing and GIS in Iraq, Springer Water
Al-Quraishi AMF (2004) Design a dynamic monitoring system of land degradation using Geoinformation technology for the northern part of Shaanxi Province, China. J Appl Sci 4(4):669–674. https://doi.org/10.3923/jas.2004.669.674
Beg AAF, Al-Sulttani AH (2019) Spatial Assessment of drought conditions over Iraq using the Standardized Precipitation Index (SPI) and GIS Techniques. In: Al-Quraishi AMF, Negm AM (eds), Environmental Remote Sensing and GIS in Iraq, Springer Water
Bowers SA, Hanks AJ (1965) Reflection of radiant energy from soil. Soil Sci 100:130–138
CPM (2003) Processing technique for marsh surface condition index. University of Marryland, global land cover facility. Coastal Marsh Project
Dutta D, Kundu A, Patel NR, Saha SK, Siddiqui AR (2015) Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI). Egyptian J Remote Sens Space Sci 18(1):53–63
Edwards DC, McKee TB (2006) Characteristics of 20th century drought in the United States at multiple time scales. Climatology Report No. 97–2, Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523-1371
Eklund L, Thompson D (2017) Differences in resource management affects drought vulnerability across the borders between Iraq, Syria, and Turkey. Ecol Soc 22(4):9. https://doi.org/10.5751/ES-09179-220409
Fadhil AM (2006) Environmental change monitoring by Geoinformation technology for Baghdad and its neighboring areas. In: Proceeding of international scientific conference of map Asia 2006: the 5th Asian conference in GIS, GPS, aerial photography and remote sensing. Bangkok, Thailand, 28 Aug–1 Sep., 2006. http://www.gisdevelopment.net/application/environment/conservation/ma06-103.htm
Fadhil AM (2009) Land degradation detection using geo-information technology for some sites in Iraq. J Al-Nahrain Univ Sci 12(3):94–108. https://doi.org/10.22401/jnus.12.3.13
Fadhil AM (2011) Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. Int J Dig Earth 4(3):239–257. https://doi.org/10.1080/17538947.2010.489971
Fadhil AM (2013) Sand dunes monitoring using remote sensing and GIS techniques for some sites in Iraq. In: Proceedings SPIE 8762, PIAGENG 2013: intelligent information, control, and communication technology for agricultural engineering, p 876206. http://dx.doi.org/10.1117/12.2019735
Fadhil AM, Hu GD, Chen JG (2004) Land degradation detection, mapping, and monitoring in the northwestern part of Hebei Province, China, using RS and GIS technologies. In: Proceeding of map Asia 2004: the 3rd Asian conference in GIS, GPS, aerial photography and remote sensing. Beijing, China, 26–29 Aug 2004. https://www.geospatialworld.net/article/land-degradation-detection-mapping-and-monitoring-in-the-northwestern-part-of-hebei-province-china-using-rs-and-gis-technologies/
Giddings L, Soto M, Rutherford BM, Maarouf A (2005) Standardized precipitation index zones for Mexico. Atmosfera 18:33–56
Hameed M, Ahmadalipour A, Moradkhani H (2018) Apprehensive drought characteristics over Iraq: results of a multidecadal spatiotemporal assessment. Geosciences 8(2):58. https://doi.org/10.3390/geosciences8020058
Hammouri N, El-Naqa A (2007) Hydrological modeling of ungauged wadis in arid environments using GIS: a case study of Wadi Madoneh in Jordan. Revista Mexicana de Ciencias Geológicas 24(2):185–196
Hayes JM (1999) Drought indices. National drought mitigation centre. www.civil.utah.edu/~cv5450/swsi/indices.htm. Accessed on 20 Apr 2011
Hayes M (2012) The drought risk management paradigm in the context of climate change. In: Pryor SC (ed) Climate change in the midwest: impacts, risks, vulnerability, and adaptation, Chap 13, Indiana University Press, Indiana
Ionita M, Scholz P, Chelcea S (2016) Assessment of droughts in Romania using the standardized precipitation index. Nat Hazards 81:1483. https://doi.org/10.1007/s11069-015-2141-8
Khalili D, Famound T, Jamshidi H, Kamgar-Haghighi A, Zand-Parsa S (2011) Comparability analyses of the SPI and RDI meteorological drought indices in different climatic zones. Water Resour Manag 25:1737–1757
Kogan F (2008) Monitoring drought and impact on vegetation from space. In: NIDIS knowledge assessment workshop, contributions of satellite remote sensing to drought monitoring, Boulder, CO, USA. URL http://www.drought.gov/workshops/remotesensing/presentations/NIDIS_kogan_presen.pdf. Accessed on 14 May 2009
Kriegler FJ, Malila WA, Nalepka RF, Richardson W (1969) Preprocessing transformations and their effects on multispectral recognition. In: Sixth international symposium on remote sensing of environment, University of Michigan, Ann Arbor, MI, pp 97–131
Lunetta RS, Elvidge CD (1998) Remote sensing change detection: environmental monitoring methods and applications. Ann Arbor Press, Michigan, U.S.A
McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Preprints, 8th conference on applied climatology, vol 17 no 22, Anaheim, CA, pp 179–184
Mohammad AH, Jung HC, Odeh T (2018) Understanding the impact of droughts in the Yarmouk Basin, Jordan: monitoring droughts through meteorological and hydrological drought indices. Arab J Geosci 11:103. https://doi.org/10.1007/s12517-018-3433-6
Moradi M, Safari Y, Biglari H, Ghayebzadeh M, Darvishmotevalli M, Fallah M, Nesari S, Sharafi H (2015) Multi-year assessment of drought changes in the Kermanshah city by standardized precipitation index. Int J Pharm Technol 8(3):17975–17987
Murad H, Saiful Islam AKM (2011) Drought assessment using remote sensing and GIS in north-west region of Bangladesh. In: 3rd International Conference on Water & Flood Management (ICWFM-2011)
Notaro M, Yu Y, Kalashnikova OV (2015) Regime shift in Arabian dust activity, triggered by persistent fertile crescent drought. J Geophys Res Atmos 120:10229–10249. https://doi.org/10.1002/2015JD023855
Portela MM, Silva AT, Santos JF, Zeleňáková M, Hlavatá H (2017) Assessing the use of SPI in detecting agricultural and hydrological droughts and their temporal cyclicity: some Slovakian case studies. Eur Water 60:233–239
Rasul G, Ibrahim F (2017) Urban land use land cover changes and their effect on land surface temperature: case study using Dohuk City in the Kurdistan Region of Iraq. Climate 5:13. https://doi.org/10.3390/cli5010013
Richards JA, Jia X (1999) Remote sensing digital image analysis—an introduction, 3rd edn. Springer, New York
Rouse JW, Haas RH, Schell JA, Deering DW (1973) Monitoring vegetation systems in the great plains with ERTS. In: Third ERTS symposium, NASA SP-351 I, pp 309–317
Stow DA (1999) Reducing mis-registration effects for pixel-level analysis of land-cover change. Int J Remote Sens 20:2477–2483
Thenkabail PS, Rhee J (2017) GIScience and remote sensing (TGRS) special issue on advances in remote sensing and GIS-based drought monitoring. GISci Remote Sens 54(2):141–143. https://doi.org/10.1080/15481603.2017.1296219
Tucker CJ, Choudhury BJ (1987) Satellite remote sensing of drought conditions. Remot Sens Environ 23:243–251
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 1979(8):127–150
Vicente-Serrano SM, López-Moreno JI (2005) Hydrological response to different time scales of climatological drought: an evaluation of the standardized precipitation index in a mountainous mediterranean basin. Hydrol Earth Sys Sci Discuss 2 (4):1221–1246
Wilhite DA (2005) Drought and water crises: science, technology, and management issues. Taylor and Francis, New Work, p 432
Wilhite DA, Glantz MH (1985) Understanding the drought phenomenon: the role of definitions. Water Int 10:111–120
Yagoub YE, Li Z, Musa OS, Anjum MN, Wang F, Bo Z (2017) Detection of drought cycles pattern in two countries (Sudan and South Sudan) by using standardized precipitation index SPI. Am J Environ Eng 7(4):93–105. https://doi.org/10.5923/j.ajee.20170704.03
YCEO (2010) Converting landsat TM and ETM+ thermal bands to temperature. Yale center for earth observation. URL http://www.yale.edu/ceo/Documentation/Landsat_DN_to_Kelvin.pdf
Ye X, Zhang Q, Liu J, Li X, Xu C (2018) Distinguishing the relative impacts of climate change and human activities on variation of stream flow in the Poyang Lake catchment. China J Hydrol 494:83–95
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Al-Quraishi, A.M.F., Qader, S.H., 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. Springer, Cham. https://doi.org/10.1007/978-3-030-21344-2_15
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