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Hasil Plagiasi dengan judul Urban Heat Island Spatial Model for Climate Village Program Planning

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dc.contributor.author Ahmad Jauhari
dc.date.accessioned 2024-09-11T06:46:01Z
dc.date.available 2024-09-11T06:46:01Z
dc.date.issued 2024-05
dc.identifier.citation zihrin646@gmail.com en_US
dc.identifier.issn 2723-6471
dc.identifier.uri https://repo-dosen.ulm.ac.id//handle/123456789/36209
dc.description.abstract Global warming and climate change are critical issues impacting ecosystems, human habitats, and the overall environment. Urban Heat Island (UHI) is a significant phenomenon resulting from increased urban temperatures due to dense urban development, the use of heat-absorbing materials, and reduced vegetation. This study focuses on analyzing the UHI effect in Banjarmasin, Indonesia, using spatial regression and descriptive spatial analysis methods. By employing Land Surface Temperature (LST) data from Landsat 9 and Sentinel-2 satellite imagery, combined with data from wireless sensor networks (WSN), this research aims to develop a comprehensive UHI spatial model to inform climate village program planning. The specific objectives of this study are to: (1) map high-temperature areas within Banjarmasin near from Climate Village Program Planning, (2) validate satellite-derived LST data with real-time WSN measurements, and (3) propose actionable strategies for urban planners to mitigate UHI effects through the enhancement of green spaces and sustainable spatial planning in Climate Village Program Planning. The results reveal substantial temperature variations within Banjarmasin, with urban areas showing significantly higher LST values compared to vegetated outskirts. The integration of satellite data with real-time WSN measurements provides a robust validation method, ensuring accurate environmental monitoring. Additionally, this study includes an analysis of the Vegetation Health Index (VHI), which integrates both the Temperature Condition Index (TCI) and the Vegetation Condition Index (VCI) to assess the health and stress levels of vegetation. The VHI analysis highlights the importance of maintaining healthy vegetation to reduce surface temperatures and mitigate UHI effects. This study underscores the importance of enhancing green spaces and implementing sustainable spatial planning to mitigate UHI effects. The proposed UHI spatial model offers a valuable tool for urban planners and policymakers in developing strategies to improve urban environmental quality and resilience to climate change. en_US
dc.publisher Journal of Applied Data Sciences Vol. 5, No. 2, May 2024, pp. 546-558 en_US
dc.relation.ispartofseries Journal of Applied Data Sciences Vol. 5, No. 2, May 2024, pp. 546-558;
dc.subject UHI, LST, NDVI, VHI, Climate Village Program, WSN en_US
dc.title Hasil Plagiasi dengan judul Urban Heat Island Spatial Model for Climate Village Program Planning en_US
dc.type Other en_US


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