Monitoring the change in land surface temperature and urban areas using Satellite images. Case study Kafr El-Sheikh City – Egypt

• Autorzy: Zeidan Zaki M. , Beshr Ashraf A. A. , Soliman Sanaa S.

Identyfikatory

DOI

10.24425/gac.2019.128465

• Języki publikacji: EN

Abstrakty

EN

In recent years, the rate of urban growth has increased rapidly especially in Egypt, due to the increase in population growth. The Egyptian government has set up new cities and established large factories, roads and bridges in new places to solve this trouble. This paper investigates the change monitoring of land surface temperature, urban and agricultural area in Egypt especially Kafr EL-Sheikh city as case study using high resolution satellite images. Nowadays, satellite images are playing an important role in detecting the change of urban growth. In this paper, cadastral map for Kafr El-Sheikh city with scale 1:5000, images from Landsat 7 with accuracy 30 meters; images from Google Earth with accuracy 0.5 meter; and images from SAS Planet with accuracy 0.5 m are used where all images are available during the study period (for year’s 2003, 2006, 2009, 2012, 2015 and 2017). The analysis has been performed in a platform of Geographical Information System (GIS) configured with Remote Sensing system using ArcGIS 10.3 and ERDAS Imagine image processing software. From the processing and analysis of the specified images during the studied time period, it is found that the building area was increased by 28.8% from year 2003 up to 2017 from Google Earth images and increased by percentage 34.4% from year 2003 up to year 2017 from supervised Landsat 7 images but for unsupervised Landsat 7 images, the building area was increased by percentage 35.9%. In this study, land surface temperature (LST) was measured also from satellite images for different years through 2003 until 2017. It is deduced that the increase in the building area (urban growth) in the specified city led to increase the land surface temperature (LST) which will affect some agricultural crops. Depending on the results of images analysis, Forecasting models using different algorithms for the urban and agricultural area was built. Finally, it is deduced that integration of spacebased remote sensing technology with GIS tools provide better platform to perform such activities.

Słowa kluczowe

EN

urban area; ERDAS Imagine software; satellite image; LST; ArcGIS 10.3; forecasting

PL

obszar miejski; zdjęcia satelitarne; prognozowanie

• Wydawca: Komitet Geodezji PAN
• Czasopismo: Geodesy and Cartography
• Rocznik: 2019
• Tom: Vol. 68, no. 2
• Strony: 389--404
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Zeidan Zaki M.

• Mansoura University Faculty of Engineering, Public Works Department Mansoura city – Egypt-Postal code 35516

autor

Beshr Ashraf A. A.

• Mansoura University Faculty of Engineering, Public Works Department Mansoura city – Egypt-Postal code 35516
• Higher Institute for Engineering and Technology Civil Engineering Department Kafr El-Sheikh Kafr Shiekh city – Egypt – Postal code 33511

autor

Soliman Sanaa S.

• Higher Institute for Engineering and Technology Civil Engineering Department Kafr El-Sheikh Kafr Shiekh city – Egypt – Postal code 33511

Bibliografia

• [1] Abduwasit, G. (2010). Calculating Surface Temperature Using Landsat Thermal Imagery. Macelwane Hall 324 3507 Laclede Ave St Louis, August 5, 314-977-7062. Avaiable in https://serc.carleton.edu/files/NAGTWorkshops/gis/activities2/student_handout_calculating_te.pdf.
• [2] Ahmadreza, E. (2016). Prediction of Urban Growth through Cellular Automata-Markov Chain. Bulletin de la Société Royale des Sciences de Liège journal, 85, 824–839.
• [3] Ahmed, M. (2011). Dynamic Expansion and Urbanization of Greater Cairo Metropolis, Egypt. Proceedings REAL CORP 2011 Tagungsband 18–20 May 2011, Essen. Editors: Manfred SCHRENK, Vasily V. POPOVICH, Peter ZEILE. 28, D-48149 Münster, Germany.
• [4] Ashraf, A. and Hadeal, H. (2015). GIS Based Multi Criteria Decision Analysis for Industrial Site Selection in Al-Nasiriyah City in Iraq. International Journal of Scientific & (IJSER), (6)7, 1330–1337.
• [5] Burns, M.C. and Galaup, M. (2003). The Use of Satellite Images in The Delimitation of Urban Areas. Engineering Research, Centre de Política de Sòl i Valoracions Universitat Politècnica de Catalunya Edifici Nexus Gran. Capità, 2–4, 303 08034 Barcelona, Spain.
• [6] Coppin, P.R. and Bauer, M.E. (1996). Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews, 13 (3–4), 207–234.
• [7] Dontree, S. (2003). Land use dynamics from multi temporal remotely sensed data: a case study Northern Thailand. In Map Asia 2003 Conference, October 2003, pp. 59–64, Kuala Lumpur, Malaysia.
• [8] Fuqin, L. (2004). Deriving Land Surface Temperature from Landsat 5 and 7 during Smex02/Smacex. Remote Sensing of Environment Journal, 92, 521–534.
• [9] Hakan, O. (2016). A Program for Retrieving Land Surface Temperature from Landsat Tm/Etm+ Imagery. Environmental Engineering and Management Journal, 12(3), 549–555.
• [10] Nawal, K. and Khalid, I. (2012). Temperature Calculation Using Thermal Bands of (ETM+) Sensor. Iraq Journal of Science, 53(2), 435–443.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020)