A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods
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In this study, the Earth's surface was studied in Razzaza Lake for 25 years, using remote sensing methods. Images of the satellites Landsat 5 (TM) and 8 (OLI) were used to study and determine the components of the land cover. The study covered the years 1995-2021 with an interval of 5 years, as this region is uninhabited, so the change in the land cover is slow. The land cover was divided into three main classes and seven subclasses and classified using the maximum likelihood classifier with the help of training sets collected to represent the classes that made up the land cover. The changes detected in the land cover were studied by considering 1995 as a reference year. It was found that there was a significant reduction in the water mass that made up the lake and its transformation into arid land. The vegetation cover was characterized by the relative stability of the crop class. Its constant percent ranged 60% to 80%, unlike the natural plant class, which fluctuates due to its dependence on environmental factors, which is characterized by change. The Kaju presence of continuous change between soil subclasses was due to the different environments affecting the study area. The most affected class was the shallow water class, which disappeared as a result of the drought experienced by the lake.
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Abduljabbar, H. M.; Hatem A. J.; Al-Jasim, A. A.; Desertification Monitoring in the South-West of Iraqi Using Fuzzy Inference System, NeuroQuantology, 2020, 18, 1.
Abed, D. J.; A study of Alshoayga Marsh's Digital elevation model using G1S and remote sensing methods, Baghdad/Iraq: University of Baghdad College of Education for Pure Sciences / Ibn Al-Haitham, 2021.
Anderson, J. R.; A land use and land cover classification system for use with remote sensor data, Fourth printing 1983 ed., Washington: US Government Printing Office, 1976.
Bukheet, Y. C.; Al-Abudi, B. Q.; Mahdi, M. S.; Land Cover Change Detection of Baghdad City Using Multi-Spectral Remote Sensing Imagery, Iraqi Journal of Science, no. Special Issue, Part A, 2016,195-214.
Abbas , H. N.; Ali, I. M.; A study of the climate change impacts on Al Shuwaija Marsh-Wasit province using satellite remote sensing, AIP Conference Proceedings, 2020, 2307, 020048.
Naji, T. A.; Hatem, A. J.; New Adaptive Satellite Image Classification Technique for Al Habbinya Region West of Iraq, Ibn AL-Haitham Journal For Pure and Applied Science, 2017, 26, 2, 143-149.
Abbas, A. H.; Sadiq, A.; Hussain, L.; Vegetation Detection Using Remote Sensing Images and NDVI Index: in Marshlands of Iraq, Science International, 2018, 30, 4, 541-544
Mohammed, M. A.; Hatem, A. J.; Change detection of the land cover for three decades using remote sensing data and geographic information system, AIP Conference Proceedings, 2020, 2307, 020029.
Muhsin, I. J.; Monitoring of south Iraq marshes using classification and change detection techniques, Iraqi Journal of Physics, 2017, 15, 78-86.
Huang, C.; Chen, Y.; Zhang, S.; Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors, Journal of Geophysical, 2018, 56, 2, 333-360.
Mashpee, F. K.; Ali, A. R. B.; Jasim, M. S.; Spatial Monitoring for Degradation Al-Razzaza Lake by Analysis Temporal of Remote Sensing Data Using Geographic Information System Techniques, EurAsian Journal of BioSciences, 2020, 14, 50, 14677-14684.
Ritchie, J. C.; Zimba, P. V.; Everitt, J. H.; Remote Sensing Techniques to Assess Water Quality, American Society of Photogrammetry, 2003, 69, 6, 695-704.
Kadhum, S. N.; Alsudani, E. S.; Monitoring the Land Covers around Al- Razaza Lake - Iraq Based Upon Multi-Temporal Analysis Technique, Al-Mustansiriyah Journal of Science, 2021,32, 2, 2521-3520 .
Abdel Meguid, M. I.; Predicting Water Depth of Lake Using Remote Sensing image, Iraqi Journal of Science, 2015, 56, 2, 1208-1215.
Al-Jasim, A. A.; Hatem, A. J.; Abduljabbar, H. M.; Utilizing remote sensing for studying Al-Saadya Marsh in the period 1987-2017, EurAsian Journal of BioSciences, 2020, 14, 2, 6415-6420.
Zanter, K.; Landsat 8 (L8) - Data Users Handbook, Sioux Falls, South Dakota: Department of the Interior, U.S. Geological Survey, 2016.
EarthExplorer, U.S. Geological Survey (USGS), [Online]. Available: https://earthexplorer.usgs.gov/. [Accessed 1 12 2021].
Richards, J. A.; Richards, J.; Remote sensing digital image analysis., Springer, 1999.
Abduljabbar, H. M.; Satellite Images Fusion Using Modified PCA Substitution Method, Ibn AL-Haitham Journal For Pure and Applied Science, 2017,30, 1, 29-37.
Mashpee, F. K.; Ali, A. R. B.; Jasim, M. S.; Spatial Monitoring for Degradation Al-Razzaza Lake by Analysis Temporal of Remote Sensing data using Geographic Information System Techniques, EurAsian Journal of BioSciences, 2020, 14, 50, 14677-14684.
Qassim, Z. H.; Abduljabbar, H. M.; Land cover change for Baghdad City in the period 1986 to 2019, AIP Conference Proceedings, 2020, 2307, 020031.