Land cover change for Baghdad City in the period 1986 to 2019

Qassim, Zainab H; Abduljabbar, Hameed M.

doi:10.1063/5.0033128

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Mohamedmeki et al [38] focused on multiple land use approaches toward sustainable development in Baghdad City in 2017. Qassim et al [39] explored the LULC from 1986 to 2019. Al-Ramahi et al [40] studied the spatial pattern of radon gas concentration distributed in Baghdad City by using RS and GIS.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq

et al. 2021

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The global and regional land use/cover changes (LUCCs) are experiencing widespread changes, particularly in Baghdad City, the oldest city of Iraq, where it lacks ecological restoration and environmental management actions at present. To date, multiple land uses are experiencing urban construction-related land expansion, population increase, and socioeconomic development. Comprehensive evaluation and understanding of the effect of urban sprawl and its rapid LUCC are of great importance to managing land surface resources for sustainable development. The present research applied remote sensing data, such as Landsat-5 Thematic Mapper and Landsat-8 Operation Land Imager, on selected images between July and August from 1985 to 2020 with the use of multiple types of software to explore, classify, and analyze the historical and future LUCCs in Baghdad City. Three historical LUCC maps from 1985, 2000, and 2020 were created and analyzed. The result shows that urban construction land expands quickly, and agricultural land and natural vegetation have had a large loss of coverage during the last 35 years. The change analysis derived from previous land use was used as a change direction for future simulation, where natural and anthropogenic factors were selected as the drivers’ variables in the process of multilayer perceptron neural network Markov chain model. The future land use/cover change (FLUCC) modeling results from 2030 to 2050 show that agriculture is the only land use type with a massive decreasing trend from 1985 to 2050 compared with other categories. The entire change in urban sprawl derived from historical and FLUCC in each period shows that urban construction land increases the fastest between 2020 and 2030. The rapid urbanization along with unplanned urban growth and rising population migration from rural to urban is the main driver of all transformation in land use. These findings facilitate sustainable ecological development in Baghdad City and theoretically support environmental decision making.

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Section: Introductionmentioning

confidence: 99%

Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq

et al. 2021

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“…Qassim et al (2020) [16]: The scope of this study includes the administrative borders of the city of Baghdad from the years (1986 to 2019). This is done through Landsat satellite scenes, with an average of five years for the difference between one scene and another, using the maximum likelihood classification.…”

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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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Study of desertification in the East of Iraq in (2013-2020) by supervised maximum likelihood

Hamzaa¹,

Malik²,

Al-Shammary³

2022

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr

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Land cover change for Baghdad City in the period 1986 to 2019

Cited by 6 publications

References 5 publications

Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq

Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq

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

Study of desertification in the East of Iraq in (2013-2020) by supervised maximum likelihood

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