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Integrative Approaches in Remote Sensing and GIS for Assessing Climate Change Impacts Across Malaysian Ecosystems and Societies

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  • Ricky Anak Kemarau

    (Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

  • Stanley Anak Suab

    (Institute for Tropical Biology and Conservation, University Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia)

  • Oliver Valentine Eboy

    (Geography Program, Faculty Social Sciences and Humanities, University Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia)

  • Zulfaqar Sa’adi

    (Centre for Environmental Sustainablility and Water Security, Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia)

  • Daniel Ugih Echoh

    (Faculty of Social Sciences and Humanities, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia)

  • Zaini Sakawi

    (Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

Abstract

Climate change presents significant problems to Malaysia, impacting its ecology and socio-economic structure through modified precipitation patterns, heightened flooding, coastal erosion, and agricultural susceptibility. This review methodically evaluates the utilization of remote sensing (RS) and geographic information systems (GISs) in comprehending these effects, employing a systematic approach following the PRISMA protocol. Through the examination of peer-reviewed papers from 2010 to 2024, we underscore the progress in remote sensing (RS) and geographic information system (GIS) technologies and their contribution to improving the spatial analysis of climate change impacts. Our research indicates considerable regional variations in the effects of climate change, highlighting the need for customized adaptation and mitigation efforts. The research Illustrates how advancements In remote sensing (RS) and geographic information systems (GISs) have enhanced forecasting skills and real-time surveillance, offering essential insights into ecosystem susceptibilities and socio-economic threats. This analysis underscores the necessity for cohesive policy strategies that leverage remote sensing and geographic information system insights to tackle the complex difficulties posed by climate change in Malaysia while pushing for additional research on the amalgamation of artificial intelligence and big data analytics to bolster climate resilience.

Suggested Citation

  • Ricky Anak Kemarau & Stanley Anak Suab & Oliver Valentine Eboy & Zulfaqar Sa’adi & Daniel Ugih Echoh & Zaini Sakawi, 2025. "Integrative Approaches in Remote Sensing and GIS for Assessing Climate Change Impacts Across Malaysian Ecosystems and Societies," Sustainability, MDPI, vol. 17(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1344-:d:1585445
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    References listed on IDEAS

    as
    1. Alias Nurul Ashikin & Mohd Idris Nor Diana & Chamhuri Siwar & Md. Mahmudul Alam & Muhamad Yasar, 2021. "Community Preparation and Vulnerability Indices for Floods in Pahang State of Malaysia," Land, MDPI, vol. 10(2), pages 1-23, February.
    2. Ricky Anak Kemarau & Wan Shafrina Wan Mohd Jaafar & Zaini Sakawi & Nurul Asyiqin Abu Bakar & Aisyah Marliza Muhmad Kamarulzaman & Stanley Anak Suab & Oliver Valentine Eboy & Siti Norliyana Harun & Zul, 2025. "UAVs and Social Science: A Transformative Perspective," Social Science Quarterly, Southwestern Social Science Association, vol. 106(1), January.
    3. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    4. Oliver Valentine Eboy & Ricky Anak Kemarau, 2023. "Study Variability of the Land Surface Temperature of Land Cover during El Niño Southern Oscillation (ENSO) in a Tropical City," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
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