Monitoring of south Iraq marshes using classification and change detection techniques

Muhsin, Israa J.

doi:10.30723/ijp.v15i33.143

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…To improve water quality, changes in water standards and quality were tracked. They conclude that increased remote sensing techniques should be used when satellites with higher spectral and spatial resolutions are launched [9].…”

Section: Introductionmentioning

confidence: 99%

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

Ahmed¹,

Abduljabbar²

2023

IHJPAS

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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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Section: Introductionmentioning

confidence: 99%

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

Ahmed¹,

Abduljabbar²

2023

IHJPAS

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“…Tracking the characteristics of the change and the accompanying changes within the study area is carried out by detecting and identifying differences and similarities and comparing the scenes captured for the same area for different years or periods [11], [3].…”

Section: Introduction Ibn Al-haitham Journal For Pure and Applied Sci...mentioning

confidence: 99%

The Change in the Land Cover of Mahmudiyah City in Iraq for the Last Three Decades

Majed

Abduljabbar

2022

IHJPAS

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The land cover of Mahmudiyah city, located south of the capital, Baghdad - Iraq, was studied for the period from 1986 to 2021 with five years between every two successive scenes, where Landsat scenes were used downloaded from the US Geological Survey (USGS ) website with low cloud cover for sensors TM and OLI. The land cover of the study area was classified. The total accuracy of the classification was calculated, as well as the analysis of the user accuracy and the classifier accuracy (maximum likelihood) and its impact on the overall classification accuracy. The lowest accuracy value in 2009 was (85.101% (and the highest accuracy value in 1995) was 95.654%). The constancy percentage of the class for the adopted years was calculated and compared to 1986 as a reference year to determine the changes in the land cover of the study area. It was found that there were changes in the classes influencing one the other, and the constancy percentage of the class was low due to environmental influences and human factors. The constancy percentage of the urban class was recorded at 50%, while the other classes did not exceed this rate since they suffered from the overlap of their spectral response. The low spatial resolution of the Landsat scenes (30 meters per pixel) led to recording omissions and commission, which decreased the overall classification accuracy.

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Flood Behavior of Al-Hammar Marshes

Yaseen

Shaban

Jasim

2021

J. Phys.: Conf. Ser.

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The marshes of southern Iraq are among the most important and largest wetlands in the Middle East and the world are characterized by the freshness of their waters and their environmental diversity. The marshes have undergone many changes during the past decades and to discover and study these changes, remote sensing data will be used as sources of information and data in this study represented by the Landsat 8 satellite images (OLI), the images were collected for years from 2013 to 2019, and by applying remote sensing techniques and geographic information systems techniques, changes in Al-Hammar marsh were detected during the past seven years, the supervised classification method (maximum likelihood) was applied to classify the region Were identified six main categories of the land cover (deep water, shallow water, small cane, large cane, plant, soil) using the software (ENVI 5.3), the final maps were produced for classification using (ArcGIS 10.4.1) software, the results showed Significant change in the water content of Al-Hammar marsh and the increase in the proportion of flooding during the year 2019 to the highest rate since 2013. In addition, the results showed the accuracy and success of the supervised classification method (maximum likelihood) in the classification of images as they are considered the best classification methods, the fastest and high accuracy.

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Monitoring of south Iraq marshes using classification and change detection techniques

Cited by 4 publications

References 10 publications

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

The Change in the Land Cover of Mahmudiyah City in Iraq for the Last Three Decades

Flood Behavior of Al-Hammar Marshes

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