Spatio Temporal Monitoring of Land Surface Temperature in Rubber and Oil Palm Plantations: A Google Earth Engine-Based Analysis Nurlina*, Ichsan Ridwan, Ibrahim
Department of Physics, Mathematics and Natural Science Faculty, Universitas Lambung Mangkurat
*nurlina_abdullah[at]ulm.ac.id
Abstract
Land conversion to rubber and oil palm plantations impacts local Land Surface Temperature (LST). This study aimed to monitor spatio temporal LST changes in rubber and oil palm plantations in Tanah Laut Regency, South Kalimantan, using Google Earth Engine (GEE). Objectives included comparing LST between these plantations and forests, and examining LST vegetation relationships. The methodology involved processing Landsat satellite imagery via GEE to extract LST and Normalized Difference Vegetation Index (NDVI). Results typically indicate that conversion of forests to both oil palm and rubber plantations consistently resulted in increased LST. Forests exhibited the lowest LST, followed by rubber plantations, then mature oil palm, with young oil palm plantations showing the highest LST increases (up to 3.4 oC warmer than forests for young oil palm). Over a 20 years period in Tanah Laut regency, an average daytime surface temperature increase of 1.05 oC was observed, linked to land cover changes. A negative correlation between LST and NDVI is commonly observed, signifying that denser vegetation is associated with lower temperatures. In conclusion, plantation development elevates LST. This research provides crucial data for sustainable land management and climate adaptation strategies in Tanah Laut, highlighting the thermal consequences of specific agricultural LULCC.
Keywords: Suhu Permukaan Lahan- Perkebunan Karet- Perkebunan Kelapa Sawit- Google Earth Engine- Perubahan Tutupan Lahan
