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All Journal Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Marko, Kuswantoro
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Earth & Planetary Sciences

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APPLICATION OF FOREST CANOPY DENSITY (FCD) MODEL FOR THE HOTSPOT MONITORING OF CROWN FIRE IN TEBO, JAMBI PROVINCE Falensky, Muhammad Attorik; Sulti, Anggieani Laras; Putra, Ranggas Dhuha; Marko, Kuswantoro
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 4, No. 1
Publisher : UI Scholars Hub

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Indonesia is one of the owners of the 9th largest forest area in the world. Forest area in Indonesia reaches 884,950 km2 . Tebo Regency is a regency in Jambi Province which has a wide forest area of 628,003 Ha. However, this forest area has been reduced due to the conversion of functions of Industrial Plantation Forests (HTI), oil palm plantations, and forest clearing activities for both settlements and plantations which led to the phenomenon of forest and land fires (karhutla). This study aims to get a better knowledge of crowns of fire potential locations in forest areas using remote sensing technology. Remote sensing data used in this study is from the satellite imagery of Landsat 8 OLI - TIRS in 2019. Remote sensing data is used to produce a Forest Canopy Density (FCD) model that can be overlapped with a hotspot location, so the crown fire potential locations will be explored in the forest area of Tebo Regency, Jambi Province. Identification of hotspot patterns in Forest Areas was analyzed using spatial analysis. The results of this study are useful for the government as the information of the hotspot area as the cause of fires in the Forest Region of Tebo Regency Jambi Province.
PEMODELAN DEBIT BANJIR SEHUBUNGAN DENGAN PREDIKSI PERUBAHAN TUTUPAN LAHAN DI DAERAH ALIRAN CI LEUNGSI HULU MENGGUNAKAN HEC-HMS Marko, Kuswantoro; Zulkarnain, Faris
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 2, No. 1
Publisher : UI Scholars Hub

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Upper Ci Leungsi catchment area is one of the catchments that has an important role in contributing water runoff to downstream areas i.e. Bekasi City. High population growth has led to significant changes in land use that impact in potentially increased surface runoff causing flooding. This study aims to estimate the flood discharge that will occur in relation to land cover change prediction in 2020, 2025, and 2030. The SCS-CN method is used for calculation of runoff volume and synthetic unit hydrograph using HEC-HMS. The CN value obtained on the existing data i.e. 72.5; 74.4; and 75.4 in 2005, 2010, and 2014 respectively, whereas the predicted CN values in 2020, 2025 and 2030 increased by 77.2; 78.4; and 79.4 respectively. This study concludes that the prediction of flood discharge in 2020, 2025, and 2030 has increased, from 2020 to 2025 by 28.4%, and from 2025 to 2030 by 26.8%. For a 25-year re-period with 197mm design rainfall resulted in flood discharge of 624.6, 653.0, and 679.8 m3 / dt in 2020, 2025, and 2030 respectively. This study is highly useful for urban development planning, particularly in anticipating the damages due to floods in future.
Co-Authors Falensky, Muhammad Attorik Putra, Ranggas Dhuha Sulti, Anggieani Laras Zulkarnain, Faris