Pemetaan Geomorfologi Berbasis Penginderaan Jauh dan Integrasi Data Spasial serta Keterkaitan Pemanfaatan Ruang Kota Kendari

Muhammad Syafii, M. Tufaila Hemon, Intan Wally, Rian Saraswati, Vida Evi Lestari, Ld. Muh. Fikram

Abstract


Kendari City comprises diverse coastal, lowland, and hilly landscapes, while urban development increases the need for physical-landscape information to support spatial planning. This study identifies landform distribution, examines land-use/land-cover patterns within each landform unit, and describes their spatial association. A quantitative descriptive approach based on remote sensing and Geographic Information Systems was applied. The main datasets were 2024 Landsat 8 OLI/TIRS imagery and a Digital Elevation Model (DEM), supported by geological, soil, hydrological, administrative-boundary, land-use/land-cover, settlement, and road-network data. Data were compiled from geospatial sources and relevant publications, clipped to the study boundary, visually interpreted, processed into topographic parameters, delineated into landform units, and analyzed through overlay and area-percentage calculations. The results identified seven landform units covering approximately 26,470.14 ha. The largest unit was a small-hilly plain on mixed sedimentary rocks (31.14%), followed by a steep oriented metamorphic mountain ridge (28.82%). Settlements tended to dominate relatively gentle landforms, secondary dryland forest the steep ridges, shrubland the undulating plains, and aquaculture ponds the intertidal mudflat. These findings indicate spatial association rather than a direct causal relationship. The landform map can serve only as preliminary information for spatial planning because it has not yet been supported by field validation and land-suitability analysis.


Keywords


Geomorphology; Landform; Remote Sensing; Digital Elevation Model; Kendari City

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DOI: https://doi.org/10.37905/geojpg.v5i2.41961

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