ANALISIS PERUBAHAN SUHU PERMUKAAN DARATAN (LAND SURFACE TEMPERATURE) DI KABUPATEN SERAM BAGIAN BARAT BERBASIS PENGINDERAAN JAUH

ABSTRACT Land cover changes and vegetation conditions are important environmental dynamics associated with variations in land surface temperature. West Seram Regency has geographical characteristics that provide opportunities for environmental change assessment using remote sensing technology. This study aims to analyze changes in land cover, vegetation density, and land surface temperature, as well as identify their spatial relationships during the 2018–2023 period. A quantitative approach employing spatial analysis based on Landsat 8 OLI/TIRS imagery was applied. The research procedures included image preprocessing, calculation of the Normalized Difference Vegetation Index (NDVI), extraction of Land Surface Temperature (LST), classification of land cover and vegetation conditions, and overlay analysis to examine spatial distribution patterns and changes across categories. The results reveal variations in the areas of different land cover, NDVI, and LST classes throughout the observation period. The very high vegetation class increased, whereas the high and moderate vegetation classes decreased. The LST distribution also shifted from the dominance of the 20–24°C temperature class toward an increase in the areas classified as 24–28°C and 28–32°C. These findings indicate that spatial changes in vegetation and land surface temperature occurred concurrently. This study provides an overview of regional environmental dynamics and serves as a basis for continuous monitoring of land cover and vegetation conditions. ABSTRAK Perubahan tutupan lahan dan kondisi vegetasi merupakan aspek penting dalam dinamika lingkungan yang berkaitan dengan variasi suhu permukaan daratan. Kabupaten Seram Bagian Barat memiliki karakteristik wilayah yang memungkinkan kajian perubahan lingkungan melalui pemanfaatan teknologi penginderaan jauh. Penelitian ini bertujuan menganalisis dinamika tutupan lahan, kerapatan vegetasi, dan suhu permukaan daratan serta mengidentifikasi keterkaitan spasial ketiganya selama periode 2018–2023. Penelitian menggunakan pendekatan kuantitatif dengan analisis spasial berbasis citra Landsat 8 OLI/TIRS. Tahapan penelitian meliputi pra-pemrosesan citra, perhitungan Normalized Difference Vegetation Index (NDVI), ekstraksi Land Surface Temperature (LST), klasifikasi tutupan lahan dan kondisi vegetasi, serta analisis overlay untuk mengamati pola persebaran dan perubahan antarkategori. Hasil penelitian memperlihatkan adanya perubahan luas pada berbagai kelas tutupan lahan, NDVI, dan LST selama periode pengamatan. Pada NDVI, kelas vegetasi sangat tinggi mengalami peningkatan, sementara kelas tinggi dan sedang mengalami penurunan. Distribusi LST juga bergeser dari dominasi kelas suhu 20–24°C menuju peningkatan luas kelas 24–28°C dan 28–32°C. Temuan ini menunjukkan adanya dinamika spasial vegetasi dan suhu permukaan yang berlangsung bersamaan. Penelitian ini memberikan gambaran perubahan lingkungan wilayah dan menjadi dasar bagi pemantauan tutupan lahan serta kondisi vegetasi secara berkelanjutan.