Mukhlif, H., Al-Rifai, M. (2022). Using Geospatial Techniques to Study The Temporal Variability of Some Drought Indicators in The Sakran Region-Western Iraq. , 12(2), 1-17. doi: 10.36531/ijds.2022.176686
Husam N. Mukhlif; Muthanna K. I. Al-Rifai. "Using Geospatial Techniques to Study The Temporal Variability of Some Drought Indicators in The Sakran Region-Western Iraq". , 12, 2, 2022, 1-17. doi: 10.36531/ijds.2022.176686
Mukhlif, H., Al-Rifai, M. (2022). 'Using Geospatial Techniques to Study The Temporal Variability of Some Drought Indicators in The Sakran Region-Western Iraq', , 12(2), pp. 1-17. doi: 10.36531/ijds.2022.176686
Mukhlif, H., Al-Rifai, M. Using Geospatial Techniques to Study The Temporal Variability of Some Drought Indicators in The Sakran Region-Western Iraq. , 2022; 12(2): 1-17. doi: 10.36531/ijds.2022.176686

Using Geospatial Techniques to Study The Temporal Variability of Some Drought Indicators in The Sakran Region-Western Iraq

IRAQI JOURNAL OF DESERT STUDIES
Article 1, Volume 12, Issue 2, Autumn 2022, Page 1-17  XML PDF (1471 K)
Document Type: Research Paper
DOI: 10.36531/ijds.2022.176686
Authors
Husam N. Mukhlif 1; Muthanna K. I. Al-Rifai2
1Department of Desert Geology, Center of Desert Studies, University of Anbar, Anbar, Iraq.
2Department of Soil and Water Resources Science, College of Agriculture, University of Anbar, Anbar, Iraq.
Abstract
The study aimed to follow up the drought situation and the effectiveness of geospatial technologies in monitoring this phenomenon. The indexes and indicators of SPI, NDVI, VCI, TCI, VHI and WSVI were used to monitor the drought situation starting from 1999-2019 for soils within the western desert of Iraq in the Sakran region. The climatic drought index SPI showed that the region was affected by the drought condition with recurrence at intervals ranging every 5 years, while the WSVI hydrological index indicated that the region was affected by the drought condition and its variation from year to year with the predominance of moderate and severe drought. The results of the agricultural drought indices NDVI, VCI, TCI and VHI agreed with other evidence in terms of the region's affected by the state of drought, which was classified into five types whose areas of impact varied with the selected years of study with the predominance of severe dry cases.
Keywords
Soil desert; SPI; NDVI; VCI; TCI; VHI
References
Al-Azzawi, A. M. M. (2019). Analyzing the effect of seasonal changes in climate elements on the severity of droughts in Iraq.  thesis, non-published. College of Education for Human Sciences, University of Tikrit.

Al-Juraysi, S. M. (2013). Classification and evaluation of land degradation within Iemen Al-Euphrates and Saqllawiy projected and their relationships with physiographic location using Geo-Information technology. PhD thesis, College of Agriculture, University of Anbar.

Al-Namrawi, S. H. F. (2019). The land shapes and their effect on the Human Activies in Barwana District, Ms.c thesis, College of Education of Humanities, University of Anbar.

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 Environmental Remote Sensing and GIS in Iraq (pp. 377-393). Springer, Cham.‏

Al-Zwbaidi, H. I. A. (2015). Assessing the status of drought using remote sensing: An empirical study in the western areas of the taif district in saudi arabia. Ms.c thesis, Sultan Qaboos University.

Biao, Z., & Yang, T. (2004). Study on vegetation of northwest qaidam basin by remote sensing. p. 484.   

Gharbi, M. A. (2012). Study of lands degeneration and observation of desertification in alrutba area/ al-Anbar governorate by using the technique of remote sensing and geographic information system. Ph D thesis, College of Education of Humanities, University of Anbar.

Hazaymeh, Kh. M. A. A. (2016). Development of a remote sensing- based agriculture monitoring drought index and its application over semi-arid region. A thesis, University of Calgary, Calgary, Albert. 

Ismail, A. F. (2014). Climatological drought. National Library of Publishing - Tripoli, Libya

Kogan, F., Gitelson, R. A., Jargalsaikhan, L., Dugrajav, C. & Tsooj, S. (2004). Derivation of pasture biomass in mongolia from avhrr-based vegetation health indices. International of Journal Remote Sensing, 25 (14), 2889– 2896. 

McKee, T. B., Doesken, N. J. & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology. AMS, Boston, MA, 179–184.

Patrick, A., Agbu, D. J., Fehrenbacher, D. J. & Jansen, I. J. (1990). Soil property relationships with spot satellite digital data in East Central Illinois. Soil Science Society ofAmerica Journal, 54,807-811.

Rosalena, I. R., & Hernina, R. (2019). Water Supplying Vegetation Index (WSVI) Analysis for Drought Rate Mapping in Bogor Regency. IOP Conference Series: Earth and Environmental Science, 284(1), 012014. IOP Publishing.

Tsakiris, G. (2017). Drought risk assessment and management. Water Resources Management, 31(10), 3083–3095. 

Statistics
Article View: 50
PDF Download: 61