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Item type:Item, Annual analysis of surface temperature, land cover, and precipitation impacts on durian harvests in Thailand(2026-01-01) ;Lubis, Muhammad Zainuddin ;Dwi Wulandari, Pratiwi ;Simanjuntak, Andrean V.H. ;Batara, B.Kausarian, HusnulThis study analyzes the impact of land surface temperature (LST), NDVI, land cover, precipitation, and climatic factors on durian productivity in Thailand (2019–2025). Results show a significant positive correlation between LST and durian yields, particularly in the southern regions, where LST increased by 0.2–0.3 °C. Statistical models indicate that the southern sector will contribute over 50% of the national durian harvest by 2025, with an average yield of 617,990 tons. The precipitation and NDVI trends also correlate with regional variations in yield. The results underscore the complex interactions of temperature, land cover, and precipitation, emphasizing the need for targeted adaptation strategies and integrated planning to sustain agricultural productivity. These findings highlight the critical role of climate variables in shaping durian productivity and stress the importance of adaptive strategies to ensure sustainable agricultural output. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Satellite-derived Spatio-temporal Dynamics of Sea Surface Temperature in the Indonesian and Halmahera Seas During ENSO Events(2025-03-01) ;Lubis, Muhammad Zainuddin ;Purwanto, Budi ;Sobaruddin, Dyan Primana ;Adrianto, DianDwinovantyo, AnggaOur study investigates the satellite-derived spatio-temporal dynamics of sea surface temperature (SST) in the Indonesian and Halmahera Seas from 2019 to 2021, highlighting its implications for climate change and marine resource management. SST values range from 21.95ºC to 33.50ºC, with pronounced peaks during the East Season (June to October) and lower temperatures in the West Season (January to March). These variations are closely associated with the El Niño-Southern Oscillation (ENSO) and seasonal wind and rainfall patterns. During the East Season, we observed notable upwelling events that indicate significant ecological impacts on fish distribution and fisheries productivity. Our study employed Conductivity-Temperature-Depth (CTD) data to validate satellite observations from the Copernicus Marine Environment Monitoring Service (CMEMS). The results revealed a strong correlation between satellite and observation data (coefficients of 0.91 and 0.93), confirming the reliability of satellite data for monitoring SST in remote marine areas. Our findings underscore the critical importance of continuous SST monitoring for sustainable marine resource management and the integration of satellite data in oceanographic studies. Our study is vital for developing adaptive strategies to address climate variability, particularly El Niño and La Niña events, which significantly influence regional weather patterns and ocean dynamics and ultimately impact global climate systems. Future research should explore the long-term trends of SST toward ongoing climate change and the resilience of marine ecosystems in the face of such variability.
