Geoecology Identification Using Landsat 8 for Spatial Planning in North Sulawesi Coastal

https://doi.org/10.22146/ijg.13189

Edwin Maulana(1*), Th. Retno Wulan(2), Dwi Sri Wahyunungsih(3), Farid Ibrahim(4), Anggara Setyabawana Putra(5), Mega Dharma Putra(6)

(1) Parangtritis Geomaritime Science Park, Geospatial Information Agency
(2) Parangtritis Geomaritime Science Park, Bantul, Yogyakarta Geospatial Information Agency, Bogor, Indonesia. Faculty of Geography, Universitas Gadjah Mada.
(3) Parangtritis Geomaritime Science Park, Bantul, Yogyakarta
(4) Parangtritis Geomaritime Science Park, Bantul.Yogyakarta
(5) Parangtritis Geomaritime Science Park, Bantul.Yogyakarta
(6) Parangtritis Geomaritime Science Park, Bantul.Yogyakarta
(*) Corresponding Author

Abstract


Abstract Geoecology is a landscape study combined with the social and environmental aspect. The study aims to identify Geoecology of coastal Manado, North Sulawesi. Identification of coastal Geoecology using Landsat 8 supported by SRTM. Data was collected by field survey and taking aerial photo using UAVs. The field survey was conducted to capture the documentation and in-depth interviews. The research method is the interpretation of remote sensing imagery. Data from image interpretation collaborated with field survey data. The results showed that there are three types of coastal that is sandy, rocky and muddy. The sandy comes from karst hills and volcanoes. The rocky and karst hills come from volcanic material that has the character of a big wave. The muddy affected by the presence of the river that carries materials from structural hills. Geoecology based coastal area management is expected to be instrumental in structuring regional integrated and planned.

Key words: Geoecology, Landsat, Coastal, North Sulawesi


Keywords


Geoecology;Landsat; Coastal; North Sulawesi

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DOI: https://doi.org/10.22146/ijg.13189

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 30/E/KPT/2018, Vol 50 No 1 the Year 2018 - Vol 54 No 2 the Year 2022

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

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