Assessing Urban Heat Islands Using GIS and Remote Sensing for Sustainable Urban Planning in the Philippines
Authors
Rick Jayson A. Tatlonghari
GIS-RS Section, GEOCORP, Los Baños, Laguna, Philippines (PH)
Article Information
DOI: 10.51583/IJLTEMAS.2024.131211
Subject Category: Environment & Sustainability
Volume/Issue: 13/12 | Page No: 111-135
Publication Timeline
Submitted: 2025-01-09
Published: 2025-01-09
Abstract
Abstract- Growing urbanization and a tropical climate intensify the known environmental challenges of urban heat islands (UHIs) in the Philippines. UHIs are formed by human activity, infrastructure, and decreased vegetation, resulting in elevated temperatures in urban areas compared to their rural surroundings. This tendency exacerbates energy consumption, air pollution, and health concerns, posing significant issues for urban planners and policymakers. Geographic Information Systems (GIS) and remote sensing technologies provide efficient methods for evaluating and reducing UHIs. GIS enables the merging and examination of geographical data, providing a comprehensive understanding of urban settings. Remote sensing uses thermal data from satellites to provide a comprehensive understanding of land surface temperatures and heat distribution patterns. In the Philippines, these technologies are essential for detecting areas with high temperatures, assessing the elements that contribute to this, and creating specific policies for sustainable urban development. By utilizing GIS and remote sensing, urban planners can strategically create geographically accurate green spaces, optimize construction materials, and apply cooling measures, ultimately fostering a healthier and more resilient urban environment. This paper shows the significant utilization of these technologies to facilitate data-driven decision-making, which is crucial for mitigating the detrimental impacts of UHIs. This research can guide environmental planners on how to utilize GIS and remote sensing for a more scientific approach as urban areas continue to grow and science-based sustainable urban planning becomes more and more apparent. Evaluating UHIs using GIS and remote sensing is an essential step in the development of habitable, sustainable, and climate-resilient cities in the Philippines.
Keywords
Urban Heat Islands, GIS, Remote Sensing, Sustainable Urban Planning, Climate Change, Global Warming, Land Surface Temperature
Downloads
References
1. Akbari, H., Cartalis, C., Kolokotsa, D., Muscio, A., Pisello, A. L., Rossi, F., Santamouris, M., Synnef, A., Wong, N. H., & Zinzi, M. (2015). Local climate change and urban heat island mitigation techniques – the state of the art. Journal of Civil Engineering and Management, 22(1), 1-16. https://doi.org/10.3846/13923730.2015.1111934 [Google Scholar] [Crossref]
2. Arifwidodo, S. D., Abdulharis, R., & Kubota, T. (2018). Final Technical Report CAF2016-RR12-CMY-Arifwidodo Understanding Urban Heat Island Effect and Its Implications to Climate Change Adaptation Strategies in Major Southeast Asian Cities. https://www.apn-gcr.org/wp-content/uploads/2020/09/bca1fac6f3e698096c445f3133a23f70.pdf [Google Scholar] [Crossref]
3. Arrau, C. P. (2021, August 26). URBAN HEAT ISLANDS (UHIs). Sites.google.com. https://www.urbanheatislands.com [Google Scholar] [Crossref]
4. Babu, Raghu N. (2000). Environmental Planning: The Needs and The Possibilities… GIS Development. September, Vol. IV Issue 9. [Google Scholar] [Crossref]
5. Buchholz, Saskia. (2021, January 20). Climate Information for Sustainable and Resilient Urban Planning. Urbanet. https://www.urbanet.info/climate-information-for-sustainable-and-resilient-urban-planning/ [Google Scholar] [Crossref]
6. Blueie. (2023, May 4). Tutorial for identifying Urban Heat Island Effect in ArcGIS Pro. YouTube. https://www.youtube.com/watch?v=StBE__Rj5M8 [Google Scholar] [Crossref]
7. Favretto, Andrea. (2018). Urban Heat Island analysis with Remote Sensing and GIS methods: an application in the Trieste area (North-East of Italy). Bollettino della Società Geografica Italiana. 1. 10.13128/bsgi.v1i1.101. [Google Scholar] [Crossref]
8. Guan, Katharine K. (2011). Surface and ambient air temperatures associated with different ground material: a case study at the University of California, Berkeley. https://nature.berkeley.edu/classes/es196/projects/2011final/GuanK_2011.pdf [Google Scholar] [Crossref]
9. Innocent, C. (2022, August 8). GIS and Remote Sensing - Geoinfotech. https://geoinfotech.ng/gis-and-remote-sensing/#:~:text=Remote%20sensing%20is%20a%20surveying [Google Scholar] [Crossref]
10. Jalali, Z., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Donn, M., Almhafdy, A., Walker, C., & Berardi, U. (2022). What we know and do not know about New Zealand’s urban microclimate: A critical review [Review of What we know and do not know about New Zealand’s urban microclimate: A critical review]. Elsevier, 274(112430). [Google Scholar] [Crossref]
11. LaVoi, Anthony and Sandy Ward (1998). Using Geographic Information Systems and Hazards Information for Local Planning and Coastal Management. National Oceanic and Atmospheric Administration Coastal Services Center, Charleston, South Carolina. [Google Scholar] [Crossref]
12. Lien, J. (2024). Role of Urban Planning in Reducing Urban Heat Island Effects in Vietnam. American Journal of Environment Studies, 7(4), 15–25. [Google Scholar] [Crossref]
13. MAPFRE, R. (2023, October 23). How would just one degree of temperature rise affect our planet? MAPFRE. https://www.mapfre.com/en/insights/sustainability/rising-temperatures-planet-climate-change/#:~:text=A%20 temperature%20rise%20of%20just%20one%20degree%20Celsius%20would%20also [Google Scholar] [Crossref]
14. M, L. (2024, May 25). The role of urban planning in reducing urban heat islands. Linkedin.com. https://www.linkedin.com/pulse/role-urban-planning-reducing-heat-islands-lesley-mashiri--evmhf#:~:text=Higher%20temperatures%20in%20UHIs%20can [Google Scholar] [Crossref]
15. NASA. (2019). what is an urban heat island? | NASA Climate Kids. Nasa.gov. https://climatekids.nasa.gov/heat-islands/ [Google Scholar] [Crossref]
16. NASA. (2023). What Is Remote Sensing? Earthdata. https://www.earthdata.nasa.gov/learn/backgrounders/remote-sensing [Google Scholar] [Crossref]
17. National Geographic. (2022, May 20). Urban Heat Island. Education.nationalgeographic.org. https://education.nationalgeographic.org/resource/urban-heat-island/ [Google Scholar] [Crossref]
18. National Geographic. (2023). GIS (Geographic Information System). Education.nationalgeographic.org. https://education.nationalgeographic.org/resource/geographic-information-system-gis/ [Google Scholar] [Crossref]
19. Pena Acosta, M., Vahdatikhaki, F., Santos, J., Hammad, A., & Dorée, A. G. (2021). How to bring UHI to the urban planning table? A data-driven modeling approach. Sustainable Cities and Society, 71, 102948. https://doi.org/10.1016/j.scs.2021.102948 [Google Scholar] [Crossref]
20. Rahaman ZA, Kafy AA, Saha M, Rahim AA, Almulhim AI, Rahaman SN et al (2022) Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia. Build Environ 222:109335 [Google Scholar] [Crossref]
21. Rahman, M. N., Rony, M. R. H., Jannat, F. A., Chandra Pal, S., Islam, M. S., Alam, E., & Islam, A. R. M. T. (2022). Impact of urbanization on urban heat island intensity in major districts of Bangladesh using remote sensing and geo-spatial tools. Climate, 10(1), 3. [Google Scholar] [Crossref]
22. Renz Palalimpa. (2024, July). Booming Sta. Rosa eyes sustainable future. INQUIRER.net. https://business.inquirer.net/471045/booming-sta-rosa-eyes-sustainable-future. [Google Scholar] [Crossref]
23. Rudrawar, Shireeshkumar. (2020). Use of GIS in Sustainable Urban Planning: A review. 105-111. [Google Scholar] [Crossref]
24. Sharma, P., Yogeswaran, N. (2024). A Systematic Review of Literature on Major Domains of Urban Heat Island Studies. In: Nandineni, R.D., Ang, S., Mohd Nawawi, N.B. (eds) Sustainable Resilient Built Environments. SRBE 2022. Advances in 21st Century Human Settlements. Springer, Singapore. https://doi.org/10.1007/978-981-99-8811-2_18 [Google Scholar] [Crossref]
25. Shi, H., Xian, G., Auch, R., Gallo, K., & Zhou, Q. (2021). Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology. Land 2021, 10, 867. https://doi.org/10.3390/land10080867 [Google Scholar] [Crossref]
26. Syam, Tamaluddin and Kamaruzaman Jusoff. (1999). Remote Sensing (RS) and Geographic Information System (GIS) Technology for Field Implementation in Malaysian Agriculture. Precision Agriculture Programme Institute Bioscience Universiti Putra Malaysia 43400 UPM Serdang, Selangor, Malaysia. [Google Scholar] [Crossref]
27. Tapper, N. J., Tyson, P. D., Owens, I. F., & Hastie, W. J. (1981). Modeling the Winter Urban Heat Island Over Christchurch, New Zealand. Journal of Applied Meteorology and Climatology, 20(4), 365–376. https://doi.org/10.1175/1520-0450(1981)020%3C0365:VKECOH%3E2.0.CO;2 [Google Scholar] [Crossref]
28. Tatlonghari, Rick Jayson A. (2002). Rapid Initial Criterion Key (RICK) Model for Selection of Suitable Disposal Site Using GIS Technology [Unpublished manuscript]. IRNR-CFNR, Graduate School, University of the Philippines Los Baños. [Google Scholar] [Crossref]
29. UCAR. (2021). Urban Heat Islands | UCAR Center for Science Education. Scied.ucar.edu. https://scied.ucar.edu/learning-zone/climate-change-impacts/urban-heat-islands [Google Scholar] [Crossref]
30. Lewellen, B. J. (2023, January 26). Sustainability Trust. Sustainability Trust. https://sustaintrust.org.nz/blog/urban-heat-islands#:~:text=This%20effect%2C%20or%20UHI%20for [Google Scholar] [Crossref]
31. US EPA, O. (2014, June 17). Learn About Heat Islands. Www.epa.gov. https://www.epa.gov/heatislands/learn-about-heat-islands#:~:text=Hard%2C%20dry%20surfaces%20in%20urban [Google Scholar] [Crossref]
32. USGS EROS Archive - Landsat Archives - Landsat 8-9 OLI/TIRS Collection 2 Level-2 Science Products | U.S. Geological Survey. (n.d.). www.usgs.gov. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-8-9-olitirs-collection-2-level-2 [Google Scholar] [Crossref]
33. Utah State University. (2024). Surface Temperature | Weather. Usu.edu. https://caas.usu.edu/weather/graphical-data/surface-temperature#:~:text=The%20temperature%20of%20the%20ground [Google Scholar] [Crossref]
34. van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., & Thiel, F. (2018). Imaging Spectroscopy of Urban Environments. Surveys in Geophysics, 40(3), 471–488. https://doi.org/10.1007/s10712-018-9486-y [Google Scholar] [Crossref]
35. Vergara, M., & Blanco, A. C. (2023). Surface Urban Heat Islands and Related Health Risk In The Philippines: A Geospatial Assessment Using Modis Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W6-2022, 451–456. https://doi.org/10.5194/isprs-archives-xlviii-4-w6-2022-451-2023 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assess the Dilemma between the Use of Conventional and Unconventional Energy in Nigerian Shallow Water Oil Fields
- Modeling and Simulation of ‘Univariate and Multivariate analytics’ by applying ‘Deep Learning and Machine Learning’ Application of Support Vector Regression, Random Forest, K-Nearest Neighbors, Long Short-Term Memory and Gated Recurrent Units Algorithms f
- The Effects of Integrating Information and Communication Technology (ICT) In Teaching the Atomic Structure in Chemistry among Senior High School Students
- An Assessment of the Impact of Poor Indoor Air Quality on Public Health in Nigerian Urban Environments; Case Study of FCT, Abuja
- Optimizing Building Envelope Design for Cooling Loads Reduction in Abuja