TREE CROWN MAPPING BASED ON UNMANNED AERIAL VEHICLE (UAV) TOWARDS A GREEN-SUSTAINABLE RESIDENTIAL

Authors

  • Suzanah Abdullah Department of Built Environment Studies & Technology Faculty of Architecture, Planning and Surveying UNIVERSITI TEKNOLOGI MARA, PERAK BRANCH, MALAYSIA
  • Mohd Fadzil Abdul Rashid Department of Built Environment Studies & Technology Faculty of Architecture, Planning and Surveying UNIVERSITI TEKNOLOGI MARA, PERAK BRANCH, MALAYSIA
  • Khairul Nizam Tahar Faculty of Architecture, Planning and Surveying UNIVERSITI TEKNOLOGI MARA, SHAH ALAM, MALAYSIA
  • Muhammad Ariffin Osoman Geoinfo Services Sdn Bhd. KUALA LUMPUR, MALAYSIA

DOI:

https://doi.org/10.21837/pm.v19i16.955

Keywords:

Unmanned Aerial Vehicle, tree crown, urban planning, sustainable residential

Abstract

Tree crown plays a crucial role in creating urban characters and spatial arrangements of living environment towards a green-sustainable city. It provides the fundamental needs for human’s living quality and health conditions such as improving water quality, preserving energy, minimising greenhouse gasses, and beautification and comfortable purposes. Therefore, there is a need for urban planners to recognise its importance and plan for it wisely. This paper attempts to demonstrate a mapping tree crowns for a case of the residential neighbourhood using Unmanned Aerial Vehicle (UAV) based GIS technologies. Four main stages involved in a mapping tree crown process namely: flight planning, data acquisition, data processing and analyses and results. As a result, this paper able to show the capabilities of the technologies in measuring and mapping tree crowns for the residential neighbourhood. Moreover, it provides urban planners with informative scenario of the tree planting and clarifies its importance for future planning and benefits – in creating and promoting a green-sustainable and healthy living environment.

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References

Bravo-Bello, J. C., Martinez-Trinidad, T., Valdez-Lazalde, J. R., Romero-Sanchez, M. E., & Martinez-Trinidad, S. (2020). Analyzing potential tree-planting sites and tree coverage in Mexico City using Satellite Imagery. Forests, 11(4), 1–12. https://doi.org/10.3390/F11040423

Hasan, Ramly; Othman, N. I. F. (2018). Developing Malaysia roadside tree species selection model in urban areas. Planning Malaysia Journal of The Malaysian Institute of Planners, 16(3), 248–260.

Helmenstine, A. M. (2019). How Much Oxygen Does One Tree Produce. BBC Science Focus, 2–3. Retrieved from https://www.thoughtco.com/how-much-oxygen-doesone-tree-produce-606785

Jenkins, N. A. L. (2015). An Application of Aerial Drones in Zoning and Urban Land Use Planning in Canada. University of Guelph.

Jim, C. Y., Konijnendijk van den Bosch, C., & Chen, W. Y. (2018). Acute challenges and solutions for urban forestry in compact and densifying cities. Journal of Urban Planning and Development, 144(3), 04018025. https://doi.org/10.1061/(asce)up.1943-5444.0000466

Kamarul Zaman, N. A. F., Kanniah, K. D., & Kaskaoutis, D. G. (2017). Estimating Particulate Matter using Satellite Based Aerosol Optical Depth and Meteorological Variables in Malaysia. Atmospheric Research, 193, 142–162. https://doi.org/10.1016/j.atmosres.2017.04.019

Kanniah, K. D., Kaskaoutis, D. G., San Lim, H., Latif, M. T., Kamarul Zaman, N. A. F., & Liew, J. (2016). Overview of atmospheric aerosol studies in Malaysia: known and unknown. Atmospheric Research, 182, 302–318. https://doi.org/10.1016/j.atmosres.2016.08.002

Kanniah, K. D., & Siong, H. C. (2017). Urban forest cover change and sustainability of Malaysian cities. Chemical Engineering Transactions, 56, 673–678. https://doi.org/10.3303/CET1756113

Keyhole. (2018). Puncak Iskandar, Bandar Seri Iskandar, Perak.pdf. Lesher, A., Rosenbloom, J., & Duerksen, C. (2014). Tree canopy cover. Retrieved August 24, 2020, from https://sustainablecitycode.org/about/

Lowry, J. H., Baker, M. E., & Ramsey, D. (2012). Determinants of urban tree canopy in residential neighborhoods: household characteristics, urban form, and the geophysical landscape. Urban Ecosystems, 15(1), 247–266. https://doi.org/10.1007/s11252-011-0185-4

Lucas, D. (2019). Rural Landscape Development Guideline. New Zealand Agricultural Science (Vol. 17).

Matasci, G., Coops, N. C., Williams, D. A. R., & Page, N. (2018). Mapping tree canopies in urban environments using Airborne Laser Scanning (ALS): A Vancouver case study. Forest Ecosystems, 5(1). https://doi.org/10.1186/s40663-018-0146-y

Mohan, M., Silva, C. A., Klauberg, C., Jat, P., Catts, G., Cardil, A., … Dia, M. (2017). Individual tree detection from Unmanned Aerial Vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest. Forests, 8(9), 1–17. https://doi.org/10.3390/f8090340

Negara, J. L. (2020). Garis Panduan Kemudahan Rekreasi dan Landskap.

Niluka, M., U I, M., Premasiri, H. M. ., N, L. D., Madawalagama, S. l, & Samarakoon, L. (2016). Developing methodology to map tree canopy in urban areas from low cost commercials UAVs. In 37th Asian Conference of Remote Sensing (Vol. Colombo, p. 7). Columbo Retrieved from https://www.researchgate.net/publication/309349770_Developing_Methodology_To_Map_Tree_Canopy_In_Urban_Areas_from_Low_Cost_Commercial_UAVS

Noor, N. M., Abdullah, A. A. A., Abdullah, A., Ibrahim, I., & Sabeek, S. (2019). 3D City Modeling using Multirotor Drone for city heritage conservation. Planning Malaysia Journal of The Malaysian Institute of Planners, 17(1), 338–349. https://doi.org/10.21837/pmjournal.v17.i9.610

Nowak, D. J., & Greenfield, E. J. (2012). Tree and impervious cover in the United States. Landscape and Urban Planning, 107(1), 21–30. https://doi.org/10.1016/j.landurbplan.2012.04.005

Preethi Latha, T., Naga Sundari, K., Cherukuri, S., & Prasad, M. V. V. S. V. (2019). Remote Sensing UAV/Drone technology as a tool for urban development measures in APCRDA. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2/W13), 525–529. https://doi.org/10.5194/isprs-archives-XLII-2-W13-525-2019

Ritter, B. (2014). Use of Unmanned Aerial Vehicle (UAV) for Urban Tree Inventories. MSC Thesis.

Timilsina, S., Aryal, J., & Kirkpatrick, J. B. (2020). Mapping urban tree cover changes using Object-based Convolution Neural Network (OB-CNN). Remote Sensing, 12(18). https://doi.org/10.3390/RS12183017

Turner?Skoff, J. B., & Cavender, N. (2019). The benefits of trees for livable and sustainable communities. Plants, People, Planet, 1(4), 323–335. https://doi.org/10.1002/ppp3.39

Turner, M. (2019). Trees are crucial to the future of our cities. ScienceDaily, pp. 2019–2022. Retrieved from https://www.sciencedaily.com/releases/2019/03/190325173305.htm

Wallace, R. & T. (2021). Tree canopy preservation. Connect Our Future, 1–6.

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Published

2021-07-27

How to Cite

Abdullah, S., Abdul Rashid, M. F., Tahar, K. N., & Osoman, M. A. (2021). TREE CROWN MAPPING BASED ON UNMANNED AERIAL VEHICLE (UAV) TOWARDS A GREEN-SUSTAINABLE RESIDENTIAL. PLANNING MALAYSIA, 19(16). https://doi.org/10.21837/pm.v19i16.955

Issue

Vol. 19 (2021): PLANNING MALAYSIA JOURNAL : Volume 19, Issue 2, 2021

Section

Article

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eISSN: 0128-0945 © Year. The Authors. Published for Malaysia Institute of Planners. This is an open-access article under the CC BY-NC-ND license.

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