Geospatial technologies for physical planning: Bridging the gap between earth science and planning

Authors

  • Süha Berberoğlu image/svg+xml Cukurova University

    Suha Berberoglu. He is head of Remote Sensing and GIS department in Institute of Basic and Applied Sciences. He has 23 years of broad-based field and laboratory environmental experience required in the application of environmental monitoring and management. Dr Berberoğlu is also involved in various national and international projects such as climate change, biodiversity mapping, soil salinity and SOC, change detection, hydrological modelling and biomass estimates. He has been modelling erosion, NPP, basin hydrology and land use/cover change. His major concern is transferring these modelling outcomes into the ecosystem-based planning. Dr. Berberoğlu is also the founder of the CU Landscape Architecture Remote Sensing and GIS Lab which is dedicated to providing innovative, state-of-the-art monitoring of environment using geospatial technologies (GIS, GPS and Remote Sensing).

  • Anıl Akın Tanrıöver image/svg+xml Bursa Technical University

    Anıl Akın Tanrıöver. She graduated from the Landscape Architecture Department at Çukurova University in 2004. She acquired her MSc and PhD degrees from the same department and studied about different change detection techniques, urban growth and urban modelling, and landscape planning. She has also taken part in several national/international projects about land use/land cover change modelling, decision support systems and climate change. Since 2012, she works at the Bursa Technical University, Landscape Architecture Department as a lecturer.

  • Onur Şatır image/svg+xml Yüzüncü Yıl University

    Onur Şatır received his BSc, MSc and PhD degrees from Cukurova University Department of Landscape Architecture in 2003, 2006 and 2013. He has been in Southampton University, Geography and Environment department between 2005 and 2006 for his MSc research on fuzzy land use classification as a visiting scholar. He studied on Agricultural land use suitability based on crop productivity in PhD and he has been in Texas A&M University Ecosystem Science and Management Department and Wisconsin University Center for Sustainability and Global Environment for PhD researches for 4 months. His researches are focused on Land use suitability, remote sensing, GIS, climate change impact on forestlands and terrestrial glaciers, forest fires, agricultural productivity and quantifying ecosystem services. He is currently working in Van Yüzüncü Yıl University Department of Landscape Architecture, and he is head of Remote Sensing Center of the university.

  • Cenk Dönmez image/svg+xml Leibniz Centre for Agricultural Landscape Research

    Cenk Dönmez is currently holding a Category B-Senior researcher position at Leibniz Center for Agricultural Research (ZALF), Müncheberg-Germany, in the Impact Assessment of Land Use Changes group and the BonaRes Geodata Centre. Besides, he is also holding an Associate Professor position in the Department of Landscape Architecture (Division of Remote Sensing and GIS) at the University of Cukurova, Turkey. His research focuses mainly on implementing hydrological and biogeochemical from the catchment to a global scale to assess climate change impacts on ecosystem services (water, carbon fluxes, etc.) and land management through field experiments data.

  • Ahmet Çilek image/svg+xml Cukurova University

    Ahmet Cilek is an Associate Professor at the University of Cukurova, Department of Landscape Architecture and Remote Sensing and GIS Division. He has involved in many national and international research projects including erosion modelling, forest productivity, risk analysis, spatial analysis and the carbon cycles research in the frame of integrated water and land resources management at the Eastern Mediterranean part of Turkey in last 10 years. His research expertise covers evaluating the land use cover dynamics and its interactions with biodiversity, ecosystems and climate in order to define land use suitability using remote sensing, GIS and spatial analysis and modelling. His main research involves GIS and remote sensing applications intensively together with spatial statistics for environmental management.

  • Merve Şahingöz image/svg+xml Cukurova University

    Merve Şahingöz is a PhD student in landscape architecture at Çukurova University, Adana, Turkey. Her PhD title is “Modelling Bioclimatic Comfort in Turkey under Climate Change Scenarios”. Miss Şahingöz has involved in various research projects on modelling climate change, hydrology and developing Decision Support System at the Remote Sensing and GIS Laboratory in Çukurova University.

DOI:

https://doi.org/10.47818/DRArch.2022.v3i2054

Keywords:

remote sensing, GIS, Spatial models, GPS

Abstract

The application of geospatial information technologies has increased recently due to increase in data sources from the earth sciences. The systematic data collection, storage and processing together with data transformation require geospatial information technologies. Rapidly developing computer technology has become an effective tool in design and physical planning in international platforms. Especially, the availability of geospatial information technologies (remote sensing, GIS, spatial models and GPS) for diverse disciplines and the capability of these technologies in data conversion from two dimensions to the three dimensions provide great efficiency. Thus, this study explores how digital technologies are reshaping physical planning and design. While the potential of digital technologies is well documented within physical planning and visualization, its application within practice is far less understood. This paper highlights the role of the geospatial information technologies in encouraging a new planning and design logic that moves from the privileging of the visual to a focus on processes of formation, bridging the interface of the earth science and physical planning.

Metrics

Metrics Loading ...

References

  • Akın A., Berberoğlu, S., Clarke K., (2014). The impact of historical exclusion on the calibration of the SLEUTH urban growth model. International Journal of Applied Earth Observation and Geoinformation, 24, 156-168.
  • Akın, A., (2011). Adana kentsel gelişiminin uzaktan algılama ve coğrafi bilgi sistemleri kullanılarak modellenmesi. Çukurova Üniversitesi, Fen Bilimleri Enstitüsü, Peyzaj Mimarlığı Ana Bilim Dalı, Doktora Tezi.
  • Batty, M., (1995). Planning Support Systems and the New Logic of Computation, Regional Development Dialogue, 16 (1), 1-17.
  • Berberoğlu, S., Akın A., Clarke K., (2016). Cellular automata modeling approaches to forecast urban growth for Adana, Turkey, A comparative approach. Landscape and Urban Planning, 153, 11-27.
  • Bradfielda, R., Wrightb, G., Cairnsb, B.G., Heijden, K. (2005). The origins and evolution of scenario techniques in long range business planning. Futures, 37:795–812.
  • Brail, R.K. & Klosterman, R. E., (2001) (eds.) Planning Support Systems, ESRI Press, California pp.
  • Ceuclelis, H., (1982). Planning and System Approach: Exploring Some Myths, Creating Reality, Human and Energy Factors, in Urban Planning: A System Approach, Laconte, P., Gibson, J.E. and A. Rapoport (eds.) p:65-78, Springer
  • Chakraborty, A.; McMillan, A. (2015). Scenario Planning for Urban Planners: Toward a Practitioner’s Guide. J. Am.Plan. Assoc. 81:1–12.
  • Clarke, K.C., Hoppen, S., Gaydos, L. (1997) A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area. Environment and Planning B: Planning and Design, Volume: 24 issue: 2, page(s): 247-261
  • Clarke, K., Gaydos, L. J. (1998). Loose coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12 7, 699-714.
  • Colomina I, Molina P (2014). Unmanned aerial systems for photogrammetry and re-mote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2014.02.013.
  • Çubukçu, K. M. (2008). Planlamada Klasik Sayısal Yöntemler, ODTÜ Yayıncılık.
  • Davidoff, P., Reiner, T.A. (1962). A Choice Theory of Planning. Journal of The American Planning Association, 28, 103-115.
  • Dawwas, E. (2018). Towards a Land Use –Transportation Interactive Modeling: a Conceptual Model for Collaborative Planning. Journal of Engineering and Architecture. 6, 91-100.
  • Dietzel, C., Clarke, K.C., (2007). Toward optimal calibration of the SLEUTH land use change model. Transactions in GIS, 11:(1), 29–45.
  • Easa, S.M., Strauss, T.R., Hassan, Y., Souleyrette, R.R., (2022). Three-Dimensional Transportation Analysis:
  • Planning and Design. Journal of Transportation Engineering.
  • González-Jorge H, Martínez-Sánchez J, Bueno M, Arias P (2017). Unmanned Aerial Systems for Civil Applications: A Review. Drones, 1 (1), 2. https://doi.org/10.3390/drones1010002.
  • Heijden, K. (1996). Scenarios: The Art of Strategic Conversation, Chichester, England: John Wiley & Sons Ltd.
  • Jantz, C.J., Goetz, S.J., Donato, D., Claggett, P., (2010). Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model. Computers, Environment and Urban Systems, 34: 1–16.
  • Klosterman, R.E. (1997). Planning Support Systems: A New Perspective on Computer-Aided Planning. Journal of Planning Education and Research, 17 (1): 45–54.
  • Lord, S., Fremond, M., Bilgin, R., Gerber, P. (2015). Growth modelling and the management of urban sprawl: Questioning the performance of sustainable planning policies. Planning Theory & Practice, 16:385-406.
  • McHarg, I.L., (1969). Design with nature. Garden City, N.Y., Published for the American Museum of Natural History [by] the Natural History Press.
  • OECD, (2011). Development Co-operation Report.
  • Pillkahn, U. (2008). Using Trends and Scenarios as Tools for Strategy Development, Erlangen, Germany: Publicis Corporate Publishing.
  • Remondino F, Barazzetti L, Nex F, Scaioni M, Sarazzi D (2012). UAV photo-grammetry for mapping and 3d modeling – current status and future perspectives. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-1/, 25-31. https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-25-2011.
  • Saunders, A., Duncan, J., Hurley, J., Amati, M., Cacceta, P., Chia, J., Boruff, B. (2020). Leaf my neighbourhood alone! predicting the influence of densification on residential tree canopy cover in Perth. Landscape and Urban Planning, 199, 103804.
  • Silva, E.A., and Clarke K.C. (2005). Complexity, emergence and cellular urban models: lessons learned from applying SLEUTH to two Portuguese metropolitan areas, European Planning Studies, 13, 93-115
  • Şatır, O., (2013). Determining the agricultural land use suitability using remote sensing and geographical information system in Lower Seyhan Plane. In: PhD Thesis. Cukurova University Natural and Applied Sciences Ins, Adana, Turkey.
  • Şatır, O., Yeler, O., Kemeç, S. (2022). Spatial analysis methods used in the planning of urban green areas and their usage opportunities. Yuzuncu Yil University, Journal of the Institute of Natural and Applied Science (in press).
  • Taylor, N., (1998). Urban Planning Theory Since 1945, SAGE Publications
  • Thapa, R.B., Murayama, Y. (2012). Scenario based urban growth allocation in Kathmandu Valley, Nepal. Landscape and Urban Planning, 105: 140– 148.
  • White, B., (1974).The Literature and Study of Urban and Regional Planning, Routledge and Kegan Paul.

Downloads


Published

2022-08-31

How to Cite

Berberoğlu , S., Akın Tanrıöver, A., Şatır, O., Dönmez, C., Çilek, A., & Şahingöz, M. (2022). Geospatial technologies for physical planning: Bridging the gap between earth science and planning. Journal of Design for Resilience in Architecture and Planning, 3(2), 213–223. https://doi.org/10.47818/DRArch.2022.v3i2054

Issue


Section

Research Articles