Application of GAI and UAVs for Correlation Analysis of Residential Density and LST in Panggang Island DKI Jakarta

Authors

  • Heinrich Rakuasa Biology Education Study Program, FKIP, Pattimura University and Management, Investigation, Measurement and Testing Unit (UP4), Water Resources Agency, DKI Jakarta Author
  • Nadhi Sugandhi Management, Investigation, Measurement and Testing Unit (UP4), Water Resources Agency, DKI Jakarta Author
  • Zainudin Management, Investigation, Measurement and Testing Unit (UP4), Water Resources Agency, DKI Jakarta Author
  • Wulan Abdul Wahab Management, Investigation, Measurement and Testing Unit (UP4), Water Resources Agency, DKI Jakarta Author
  • Kamiludin Management, Investigation, Measurement and Testing Unit (UP4), Water Resources Agency, DKI Jakarta Author

Keywords:

Geographical Artificial Intelligence, Surface Temperature, Unmanned Aerial Vehicles, Panggang Island

Abstract

This research aims to understand the relationship between high settlement density andland surface temperature associated with the Urban Heat Island (UHI) phenomenon.The data processing method involves collecting settlement density data using UAVsequipped with thermal sensors, as well as using GAI, namely GEE, to analyze LST onPanggang Island. The results showed a positive relationship between settlement densityand LST on Panggang Island, with high settlement density contributing to an increasein ground surface temperature. The benefits of the application of GAI and UAVs in thisanalysis include accurate mapping, understanding the impacts of urbanization,sustainable urban planning, and fact-based decision-making. It is hoped that thisresearch can contribute to better urban management and reduction of environmentalimpacts in Pulau Panggang, DKI Jakarta.

Downloads

Download data is not yet available.

References

Bordogna, Gloria, and Cristiano Fugazza. 2022. “Artificial Intelligence for Multisource Geospatial Information.” ISPRS International Journal of Geo-Information 12(1): 10. https://www.mdpi.com/2220-9964/12/1/10.

Çolak, Emre, and Filiz Sunar. 2023. “Investigating the Usefulness of Satellite-Retrieved Land Surface Temperature (LST) in Pre- and Post-Fire Spatial Analysis.” Earth Science Informatics 16(1): 945–63. https://link.springer.com/10.1007/s12145-022-00883-8.

Diksha, Maya Kumari, and Rina Kumari. 2023. “Spatiotemporal Characterization of Land Surface Temperature in Relation Landuse/Cover: A Spatial Autocorrelation Approach.” Journal of Landscape Ecology. https://www.sciendo.com/article/10.2478/jlecol-2023-0001.

Ermida, Sofia L. et al. 2020. “Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series.” Remote Sensing 12(9): 1471. https://www.mdpi.com/2072-4292/12/9/1471.

Fonseka, H.P.U. et al. 2019. “Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016.” Remote Sensing 11(8): 957. https://www.mdpi.com/2072-4292/11/8/957.

Hehanussa, F. S., Sumunar, D. R. S., & Rakuasa, H. 2023. “Pemanfaatan Geogle Earth Engine Untuk Identifikasi Perubahan Suhu Permukaan Daratan Kabupaten Buru Selatan Berbasis Cloud Computing.” Gudang Jurnal Multidisiplin Ilmu 1(1): 37–45.

How Jin Aik, Darren, Mohd Hasmadi Ismail, Farrah Melissa Muharam, and Mohamad Azani Alias. 2021. “Evaluating the Impacts of Land Use/Land Cover Changes across Topography against Land Surface Temperature in Cameron Highlands” ed. Jun Yang. PLOS ONE 16(5): e0252111. https://dx.plos.org/10.1371/journal.pone.0252111.

Latue, P. C., Rakuasa, H., Somae, G., & Muin, A. 2023. “Analisis Perubahan Suhu Permukaan Daratan Di Kabupaten Seram Bagian Barat Menggunakan Platform Berbasis Cloud Google Earth Engine.” Sudo Jurnal Teknik Informatika 2(2): 45–51.

Latue, P. C., Septory, J. S. I., & Rakuasa, H. 2023. “Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 Dan 2023.” JPG (Jurnal Pendidikan Geografi) 10(1): 177–86.

Neog, Rituraj. 2022. “Evaluation of Temporal Dynamics of Land Use and Land Surface Temperature (LST) in Agartala City of India.” Environment, Development and Sustainability 24(3): 3419–38. https://link.springer.com/10.1007/s10668-021-01572-0.

Philia Christi Latue, Heinrich Rakuasa. 2023. “Analisis Perubahan Suhu Permukaan Daratan Di Kecamatan Ternate Tengah Menggunakan Google Earth Engine Berbasis Cloud Computing.” E- JOINT ( Electronica and Electrical Journal of Innovation Technology) 4(1): 16–20.

Rakuasa, H., Sihasale , D. A., & Latue, P. C. 2023. “Spatial Pattern of Changes in Land Surface Temperature of Seram Island Based on Google Earth Engine Cloud Computing.” International Journal of Basic and Applied Science 12(1): 1–9.

Rakuasa, Heinrich. 2022. “ANALISIS SPASIAL TEMPORAL SUHU PERMUKAAN DARATAN/ LAND SURFACE TEMPERATURE (LST) KOTA AMBON BERBASIS CLOUD COMPUTING: GOOGLE EARTH ENGINE.” Jurnal Ilmiah Informatika Komputer 27(3): 194–205. http://ejournal.gunadarma.ac.id/index.php/infokom/article/view/7101.

Rakuasa, Heinrich, Daniel A Sihasale, Glendy Somae, and Philia Christi Latue. 2023. “Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method.” Jurnal Geosains dan Remote Sensing 4(1): 1–10. https://jgrs.eng.unila.ac.id/index.php/geo/article/view/85.

Saha, Sunil et al. 2021. “Analyzing Spatial Relationship between Land Use/Land Cover (LULC) and Land Surface Temperature (LST) of Three Urban Agglomerations (UAs) of Eastern India.” Remote Sensing Applications: Society and Environment 22: 100507. https://linkinghub.elsevier.com/retrieve/pii/S2352938521000434.

Sandy Liwan & Philia Christi Latue. 2023. “Analisis Spasial Perubahan Suhu Permukaan Daratan Kota Kupang Menggunakan Pendekatan Geospatial Artificial Intelligence (GeoAI).” Buana Jurnal Geografi, Ekologi dan Kebencanaan 1(1): 14–20.

Sugandhi, N., Rakuasa, H., Zainudin, Z., Wahab, W. A., Kamiludin, K., Jaelani, A., ... & Rinaldi, M. 2023. “Pemanfaatan Unmanned Aerial Vehicle (UAV) Untuk Pemetaan Pengunaan Lahan Di Sekitar Waduk Pondok Ranggon, Provinsi DKI Jakarta.” ULIL ALBAB: Jurnal Ilmiah Multidisiplin 2(7): 3109–18.

Ullah, Waheed et al. 2023. “Analysis of the Relationship among Land Surface Temperature (LST), Land Use Land Cover (LULC), and Normalized Difference Vegetation Index (NDVI) with Topographic Elements in the Lower Himalayan Region.” Heliyon 9(2): e13322. https://linkinghub.elsevier.com/retrieve/pii/S2405844023005297.

Wang, Ran et al. 2019. “Detecting Multi-Temporal Land Cover Change and Land Surface Temperature in Pearl River Delta by Adopting Local Climate Zone.” Urban Climate 28: 100455. https://www.sciencedirect.com/science/article/pii/S2212095519300938.

Wei, Chunzhu, and Thomas Blaschke. 2018. “Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density.” Urban Science 2(1): 2. http://www.mdpi.com/2413-8851/2/1/2.

Downloads

Published

2023-08-22

Issue

Vol. 1 No. 1 (2023): Multidisciplinary Research Larisa August 2023

Section

Artikel

License

Copyright (c) 2023 Heinrich Rakuasa, Nadhi Sugandhi, Zainudin, Wulan Abdul Wahab, Kamiludin (Penulis)

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Licence

Creative Commons License

Creative Commons license
The journal is published by Larisa Multidisciplinary Research licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

You are free to:

Share — copy and redistribute the material in any media or format

Adapt — remix, transform, and develop material for any purpose, even commercially

Under the following conditions:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if any changes have been made. You may do so in any reasonable way, but not in any way that would imply that the licensor endorses you or your use.

Share Alike — If you mix, modify, or build upon the material, you must distribute your contributions under the same license as the original

No additional restrictions — You may not apply legal provisions or technological measures that legally restrict others from doing anything the license permits