Quantifying the Mangrove Cooling Effects on Urban Heat: A Two-Decade Remote Sensing Analysis of Jakarta's Coastal Zone
Received: 15 August 2025 | Revised: 13 September 2025 | Accepted: 6 October 2025 | Online: 8 December 2025
Corresponding author: Andik Isdianto
Abstract
Urban coastal planning in North Jakarta's Muara Angke–Kapuk requires clear evidence of how land-cover composition influences Land Surface Temperature (LST). This study maps two decades of land-cover change using Object-Based Image Analysis (OBIA), derives LST from Landsat, and applies multiple linear regression across 242 uniform grids (150×150 m) to quantify the LST responses to the built-up area, mangroves, water, ponds, open land, and non-mangrove vegetation. The built-up area expanded from 716.1 to 1,525.1 ha, mangroves increased by 76.7% (183.7ha-324.6 ha), and mean LST increased by 7.5 °C (20.2°C-27.7 °C). The regression achieved a high fit (R2 = 0.951), with warming associations for the built-up area (B = 1.619 °C), open land (B = 1.139 °C), and cooling associations for mangroves (B = −0.960 °C), water bodies (B = −0.478 °C), ponds (B = −0.275 °C), and non-mangrove vegetation (B = −0.469 °C). These findings indicate that integrating mangrove conservation/restoration with broader green–blue planning can help moderate surface heat along Jakarta's coastal fringe. The OBIA–Landsat workflow provides a transferable, cost-effective basis for routine monitoring and supports climate-resilient urban development by linking land-cover management to LST mitigation in data-limited tropical megacities.
Keywords:
urban heat island, land surface temperature, OBIA, mangrove cooling effect, Jakarta BayDownloads
References
E. B. Barbier, S. D. Hacker, C. Kennedy, E. W. Koch, A. C. Stier, and B. R. Silliman, "The Value of Estuarine and Coastal Ecosystem Services," Ecological Monographs, vol. 81, no. 2, pp. 169–193, May 2011. DOI: https://doi.org/10.1890/10-1510.1
D. M. Alongi et al., "Indonesia's Blue Carbon: A Globally Significant and Vulnerable Sink for Seagrass and Mangrove Carbon," Wetlands Ecology and Management, vol. 24, no. 1, pp. 3–13, Feb. 2016. DOI: https://doi.org/10.1007/s11273-015-9446-y
C. Giri, "Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data," Remote Sensing, vol. 13, no. 4, Feb. 2021, Art. no. 563. DOI: https://doi.org/10.3390/rs13040563
A. W. Hasyim, B. M. Sukojo, I. A. Anggraini, E. R. Fatahillah, and A. Isdianto, "Urban Heat Island Effect and Sustainable Planning: Analysis of Land Surface Temperature and Vegetation in Malang City," International Journal of Sustainable Development and Planning, vol. 20, no. 2, pp. 683–697, Feb. 2025. DOI: https://doi.org/10.18280/ijsdp.200218
M. Mas'uddin, L. Karlinasari, S. Pertiwi, and E. Erizal, "Urban Heat Island Index Change Detection Based on Land Surface Temperature, Normalized Difference Vegetation Index, and Normalized Difference Built-Up Index: A Case Study," Journal of Ecological Engineering, vol. 24, no. 11, pp. 91–107, Nov. 2023. DOI: https://doi.org/10.12911/22998993/171371
S. Siswanto, et al., "Temperature, Extreme Precipitation, and Diurnal Rainfall Changes in the Urbanized Jakarta City During the Past 130 Years," International Journal of Climatology, vol. 36, no. 9, pp. 3207–3225, July 2016. DOI: https://doi.org/10.1002/joc.4548
J. R. Yepez Ramírez, R. R. Ricaurte Parraga, and J. A. Verdugo Arcos, "Use of Geomatic Techniques for Mapping Suspended Solids in Aquatic Ecosystems: The Case Study of Guayas River, Ecuador," Engineering, Technology & Applied Science Research, vol. 14, no. 6, pp. 17650–17656, Dec. 2024. DOI: https://doi.org/10.48084/etasr.8664
Y. Li, Q. Liu, S. Chen, and X. Zhang, "An Improved Gap-Filling Method for Reconstructing Dense Time-Series Images from LANDSAT 7 SLC-Off Data," Remote Sensing, vol. 16, no. 12, June 2024, Art. no. 2064. DOI: https://doi.org/10.3390/rs16122064
S. Patel, M. Indraganti, and R. N. Jawarneh, "A Comprehensive Systematic Review: Impact of Land Use/ Land Cover (LULC) on Land Surface Temperatures (LST) and Outdoor Thermal Comfort," Building and Environment, vol. 249, Feb. 2024, Art. no. 111130. DOI: https://doi.org/10.1016/j.buildenv.2023.111130
F. Mirchooli, S. H. Sadeghi, and A. Khaledi Darvishan, "Analyzing Spatial Variations of Relationships between Land Surface Temperature and Some Remotely Sensed Indices in Different Land Uses," Remote Sensing Applications: Society and Environment, vol. 19, Aug. 2020, Art. no. 100359. DOI: https://doi.org/10.1016/j.rsase.2020.100359
Z.-L. Li et al., "Satellite-Derived Land Surface Temperature: Current Status and Perspectives," Remote Sensing of Environment, vol. 131, pp. 14–37, Apr. 2013. DOI: https://doi.org/10.1016/j.rse.2012.12.008
J. C. Jimenez-Munoz and J. A. Sobrino, "A Single-Channel Algorithm for Land-Surface Temperature Retrieval from ASTER Data," IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 1, pp. 176–179, Jan. 2010. DOI: https://doi.org/10.1109/LGRS.2009.2029534
V. Kumar et al., "GIS-Based Analysis of a Rainwater Harvesting System in the Multipurpose Hall of Quaid-e-Awam University of Engineering, Science, and Technology," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8837–8842, Aug. 2022. DOI: https://doi.org/10.48084/etasr.4995
A. W. Hasyim, I. A. Anggraini, F. Usman, and A. Isdianto, "Evaluating Urban Heat Island Effects in Malang City Parks Using UAV and OBIA Technologies," International Journal of Sustainable Development and Planning, vol. 20, no. 04, pp. 1633–1644, Apr. 2025. DOI: https://doi.org/10.18280/ijsdp.200425
M. Chi et al., "Big Data for Remote Sensing: Challenges and Opportunities," Proceedings of the IEEE, vol. 104, no. 11, pp. 2207–2219, Nov. 2016. DOI: https://doi.org/10.1109/JPROC.2016.2598228
D. X. Tran et al., "Characterizing the Relationship between Land use Land Cover Change and Land Surface Temperature," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 124, pp. 119–132, Feb. 2017. DOI: https://doi.org/10.1016/j.isprsjprs.2017.01.001
D. Danniswari, T. Honjo, and K. Furuya, "Analysis of Building Height Impact on Land Surface Temperature by Digital Building Height Model Obtained from AW3D30 and SRTM," Geographies, vol. 2, no. 4, pp. 563–576, Sept. 2022. DOI: https://doi.org/10.3390/geographies2040034
A. Zhang and C. Xia, "Scale Effect on the Relationship between Urban Landscape Patterns and Land Surface Temperature," Sustainable Cities and Society, vol. 117, Dec. 2024, Art. no. 105942. DOI: https://doi.org/10.1016/j.scs.2024.105942
A. W. Hasyimet al., "Assessing the Impact of Population Density and Land Use on Land Surface Temperature for Sustainable Urban Planning in Malang City, Indonesia," International Journal of Sustainable Development and Planning, vol. 20, no. 5, pp. 1679–2197, May 2025. DOI: https://doi.org/10.18280/ijsdp.200533
H. Gu, H. Li, L. Yan, Z. Liu, T. Blaschke, and U. Soergel, "An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology," Remote Sensing, vol. 9, no. 4, Mar. 2017, Art. no. 329. DOI: https://doi.org/10.3390/rs9040329
H. Cai and X. Xu, "Impacts of Built-up Area Expansion in 2D and 3D on Regional Surface Temperature," Sustainability, vol. 9, no. 10, Oct. 2017, Art. no. 1862. DOI: https://doi.org/10.3390/su9101862
D. Kumar and S. Shekhar, "Statistical Analysis of Land Surface Temperature–Vegetation Indexes Relationship Through Thermal Remote Sensing," Ecotoxicology and Environmental Safety, vol. 121, pp. 39–44, Nov. 2015. DOI: https://doi.org/10.1016/j.ecoenv.2015.07.004
O. E. Adeyeri, A. A. Akinsanola, and K. A. Ishola, "Investigating Surface Urban Heat Island Characteristics Over Abuja, Nigeria: Relationship Between Land Surface Temperature and Multiple Vegetation Indices," Remote Sensing Applications: Society and Environment, vol. 7, pp. 57–68, Aug. 2017. DOI: https://doi.org/10.1016/j.rsase.2017.06.005
Y.-J. Shiau and C.-Y. Chiu, "Biogeochemical Processes of C and N in the Soil of Mangrove Forest Ecosystems," Forests, vol. 11, no. 5, Apr. 2020, Art. no. 492. DOI: https://doi.org/10.3390/f11050492
E. Sumarga, A. Sholihah, F. A. E. Srigati, S. Nabila, P. R. Azzahra, and N. P. Rabbani, "Quantification of Ecosystem Services from Urban Mangrove Forest: A Case Study in Angke Kapuk Jakarta," Forests, vol. 14, no. 9, Sept. 2023, Art. no. 1796. DOI: https://doi.org/10.3390/f14091796
K. Kanjin and B. M. Alam, "Assessing Changes in Land Cover, NDVI, and LST in the Sundarbans Mangrove Forest in Bangladesh and India: A GIS and remote sensing approach," Remote Sensing Applications: Society and Environment, vol. 36, Nov. 2024, Art. no. 101289. DOI: https://doi.org/10.1016/j.rsase.2024.101289
R. F. P. Murillo, W. Lavado Casimiro, Y. C. Pachac Huerta, M. Zapana Quispe, and D. Guevara-Freire, "Use of the SWAT Model to Simulate the Hydrological Response to LULC in a Binational Basin between Ecuador and Peru," Engineering, Technology & Applied Science Research, vol. 14, no. 6, pp. 17816–17823, Dec. 2024. DOI: https://doi.org/10.48084/etasr.8646
T. Modi et al., "Geospatial Evaluation of Normalized Difference Vegetation Index (NDVI) and Urban Heat Island: A Spatio-temporal Study of Gandhinagar City, Gujarat, India," Geomatics, Natural Hazards and Risk, vol. 15, no. 1, Dec. 2024, Art. no. 2356214. DOI: https://doi.org/10.1080/19475705.2024.2356214
A. Isdianto, A. W. Hasyim, B. M. Sukojo, I. Alimuddin, I. A. Anggraini, and E. R. Fatahillah, "Integrating Urban Design with Natural Dynamics: Enhancing Ecological Resilience in Malang City over a Decade," International Journal of Sustainable Development and Planning, vol. 20, no. 3, pp. 1061–1075, Mar. 2025. DOI: https://doi.org/10.18280/ijsdp.200313
B. G. Heusinkveld, G. J. Steeneveld, L. W. A. Van Hove, C. M. J. Jacobs, and A. A. M. Holtslag, "Spatial Variability of the Rotterdam Urban Heat Island as Influenced by Urban Land Use," Journal of Geophysical Research: Atmospheres, vol. 119, no. 2, pp. 677–692, Jan. 2014. DOI: https://doi.org/10.1002/2012JD019399
T. Kusumadewi et al., "Synthesizing Environmental, Social, and Urban Density Metrics to Predict Urban Heat Island Dynamics using Remote Sensing and Support Vector Regression," Engineering, Technology & Applied Science Research, vol. 15, no. 3, pp. 23141–23148, June 2025. DOI: https://doi.org/10.48084/etasr.9791
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