ASSESSMENT OF THE IMPACT OF URBANIZATION GROWTH ON THE CLIMATE OF BAGHDAD PROVINCE USING REMOTE SENSING TECHNIQUES.
DOI:
https://doi.org/10.36103/ijas.v53i5.1616Keywords:
normalized difference built-up index, (LU/LC), land surface temperature (LST), satellite images.Abstract
This study was aimed to recognize the spatial and temporal features of urban development and its impact on the climate of Baghdad City. The analytical method of the study relies on changes in Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), and Land Surface Temperature(LST); GIS technology was used to measure these statistics. Landsat (5,8) and Sentinel2A imagery were used to detect the change of urbanization growth, vegetation change, and land surface temperature during the study period from 2001 to 2020, whereas used the supervised classification technique for determination for LULC variations. The results showed significant changes among the LULC classes in the studied periods, as most of the LULC changes were caused by human activities. The most prominent changes in LULC were the urban expansion on agricultural land, continuously in all years, which led to the decline of vegetation resulting from land degradation. The Building area increased from around 863 km2 in 2001 to 1469 km2 in 2020 concentrated mainly in the center, the northeastern and southeastern part of the city. Moderate plants decrease from around 88.5 km2 in 2001 to 59 km2 in 2020 and dense plants decreased from 0.0252 km2 in 2001 to 0.0135 km2 in 2020. This has led to negative effects on the climate where temperature rates increased from (26-47) degrees Celsius in 2001 to (32-56) degrees Celsius in the last year of the study, the highest temperatures were recorded in urban growth areas and areas without vegetation.
References
Abdul Rahman Bilal Ali. 2016. Classification of Land Cover around Al-Shari Lake and their Correlation with Climatic Parameters Using Remote Sensing Indicators
Al-fatlawi, M. A., and S. N. Jasim. 2019. Study of spatial distribution of vegetation index of alzawra ammusement park in baghdad area using geotechniques. Iraqi J. Agric. Sci. 50: 173–181
Alberti, M., J. M. Marzluff, E. Shulenberger, G. Bradley, C. Ryan, and C. Zumbrunnen. 2003. Integrating humans into ecology: opportunities and challenges for studying urban ecosystems. Bioscience 53: 1169–1179
Ali, A. K. M., and F. K. M. Al Ramahi. 2020. The Study Air temperature Annual Rates Effect for Urban of Baghdad City by Using Remote Sensing Data Techniques. Eng. Technol. J. 38: 66–73
Ali, H. Z., and S. N. Al-baldawi. 2015. Performance of Supervised Classification on Landsat images for Mapping Land Cover in Hour AL-Dalmaj Area. 26: 74–77
Ali, Z. R., and A. S. Muhaimeed. 2016. The study of temporal changes on land cover/land use prevailing in Baghdad governorate using RS and GIS. Iraqi J. Agric. Sci. 47: 846–855
Aljobory, M. M. and A. 2015. Use of Remote Sensing in the assessment and classification of land degradation in the district of Mahmudiya for the period 1990-2007. J. Coll. Educ. Women 26
Alqurashi, A. F., and L. Kumar. 2019. An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia. Geocarto Int. 34: 78–97
Andersson, E. 2006. Urban landscapes and sustainable cities. Ecol. Soc. 11
Asgarian, A., B. J. Amiri, and Y. Sakieh. 2015. Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach. Urban Ecosyst. 18: 209–222
Chapman, S., J. E. M. Watson, A. Salazar, M. Thatcher, and C. A. McAlpine. 2017. The impact of urbanization and climate change on urban temperatures: a systematic review. Landsc. Ecol. 32: 1921–1935
Commission, S. P. 2012. Twelfth Five Year Plan. Tamil Nadu 2012-2017. Overview
Cui, L., and J. Shi. 2012. Urbanization and its environmental effects in Shanghai, China. Urban Clim. 2: 1–15
Demir, B., L. Minello, and L. Bruzzone. 2013. Definition of effective training sets for supervised classification of remote sensing images by a novel cost-sensitive active learning method. IEEE Trans. Geosci. Remote Sens. 52: 1272–1284
Hegazy, I. R., and M. R. Kaloop. 2015. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. Int. J. Sustain. Built Environ. 4: 117–124
Ibrahim, O. A. 2018. Determination of Radon Pollution Regions in Baghdad City Using Remote Sensing and Geographic Information System. Requir. degree Master Sci. Phys. (RS&GIS), Univ. Baghdad, Coll. Sci. Dep. Phys
Kalnay, E., and M. Cai. 2003. Impact of urbanization and land-use change on climate. Nature 423: 528–531
Khalaf, A. B., and A. I. J. Al-Jibouri. 2020. Detection land cover changes of the baquba city for the period 2014-2019 using spectral indices. Iraqi J. Agric. Sci. 51: 805–815
Kometa, S. S., and N. R. Akoh. 2012. The Hydro-geomorphological implications of urbanisation in Bamenda, Cameroon. J. Sustain. Dev. 5: 64–73
Lundholm, J. T., and P. J. Richardson. 2010. MINI‐REVIEW: Habitat analogues for reconciliation ecology in urban and industrial environments. J. Appl. Ecol. 47: 966–975
Masek, J. G., F. E. Lindsay, and S. N. Goward. 2000. Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. Int. J. Remote Sens. 21: 3473–3486
Mohammed Hashim, B., and M. Abdullah Sultan. 2010. Using remote sensing data and GIS to evaluate air pollution and their relationship with land cover and land use in Baghdad City. Iran. J. Earth Sci. 2: 20–24
Oldak, A., T. J. Jackson, P. Starks, and R. Elliott. 2003. Mapping near-surface soil moisture on regional scale using ERS-2 SAR data. Int. J. Remote Sens. 24: 4579–4598
Resler, L. M. 2002. Remote Sensing and Image Analysis
Sahebjalal, E., and K. Dashtekian. 2013. Analysis of land use-land covers changes using normalized difference vegetation index (NDVI) differencing and classification methods. African J. Agric. Res. 8: 4614–4622
Sajjad, H., and M. Iqbal. 2012. Impact of urbanization on land use/land cover of Dudhganga watershed of Kashmir Valley, India. Int. J. Urban Sci. 16: 321–339
Spence, M., P. C. Annez, and R. M. Buckley. 2008. Urbanization and growth. World Bank Publications
Stow, D. A., and D. M. Chen. 2002. Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover changes and misregistration. Remote Sens. Environ. 80: 297–307
Vigneshwaran, S., and S. Vasantha Kumar. 2018. Extraction of built-up area using high resolution Sentinel-2A and Google satellite imagery. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch. 42: 165–169
Voogt, J. A., and T. R. Oke. 2003. Thermal remote sensing of urban climates. Remote Sens. Environ. 86: 370–384
Xu, H. 2007. Extraction of urban built-up land features from Landsat imagery using a thematicoriented index combination technique. Photogramm. Eng. Remote Sens. 73: 1381–1391
Zha, Y., J. Gao, and S. Ni. 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 24: 583–594
Zhao, S., L. Da, Z. Tang, H. Fang, K. Song, and J. Fang. 2006. Ecological consequences of rapid urban expansion: Shanghai, China. Front. Ecol. Environ. 4: 341–346.
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