TY - GEN
T1 - Mapping and Characterization of Seamounts in the Flores Sea Using Acoustic Remote Sensing and Gravity Core Technology
AU - Haryadi, Yudo
AU - Pratomo, Danar Guruh
AU - Sukojo, Bangun Muljo
AU - Satria Damarnegara, A. A.Ngurah
AU - Djajadihardja, Yusuf Surachman
AU - Irfan, Muhammad
AU - Febriawan, Hendra Kurnia
AU - Ardhyastuti, Sri
AU - Haryanto, Dwi
AU - Trinugroho,
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This study employs underwater acoustic remote sensing technology and deep-sea soil sampling to map and characterize the seafloor in the Flores Sea to examine the seamounts and potential deposits. The Multibeam Echosounder (MBES) is utilized as an underwater acoustic remote sensing instrument to provide high-resolution ocean bathymetry data, while the gravity core technology collects sediment data in the deep sea. Considering the geological and bathymetric background of the Flores Sea, tectonic processes may have contributed to seamount formation. Seamounts offer geological conditions conducive to mineralization. Thus, the study aims to map seamounts and assess their mineralization potential in the Flores Sea. Caris HIPS SIPS software is utilized to process the MBES data, while sediment analysis uses the megascopically technique. These data are qualitatively used to characterize seafloor features and identify mineralization indicators and ultimately will enhance our understanding of seamounts and their mineralization potential. The study has successfully identified a new seamount in the Flores Sea, located 120 km north of Mount Tambora, along with the presence of mineralization. These findings are expected to significantly contribute to resource mapping. Moreover, it could improve insights into seamounts and mineralization will aid further exploration and research in marine geology.
AB - This study employs underwater acoustic remote sensing technology and deep-sea soil sampling to map and characterize the seafloor in the Flores Sea to examine the seamounts and potential deposits. The Multibeam Echosounder (MBES) is utilized as an underwater acoustic remote sensing instrument to provide high-resolution ocean bathymetry data, while the gravity core technology collects sediment data in the deep sea. Considering the geological and bathymetric background of the Flores Sea, tectonic processes may have contributed to seamount formation. Seamounts offer geological conditions conducive to mineralization. Thus, the study aims to map seamounts and assess their mineralization potential in the Flores Sea. Caris HIPS SIPS software is utilized to process the MBES data, while sediment analysis uses the megascopically technique. These data are qualitatively used to characterize seafloor features and identify mineralization indicators and ultimately will enhance our understanding of seamounts and their mineralization potential. The study has successfully identified a new seamount in the Flores Sea, located 120 km north of Mount Tambora, along with the presence of mineralization. These findings are expected to significantly contribute to resource mapping. Moreover, it could improve insights into seamounts and mineralization will aid further exploration and research in marine geology.
KW - Acoustic remote sensing
KW - Flores Sea
KW - Mineralization
KW - Multibeam
KW - Seabed characterization
KW - Seamount
KW - Sediment
UR - http://www.scopus.com/inward/record.url?scp=85191491860&partnerID=8YFLogxK
U2 - 10.1109/AGERS61027.2023.10490672
DO - 10.1109/AGERS61027.2023.10490672
M3 - Conference contribution
AN - SCOPUS:85191491860
T3 - 2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology: Global Challenges in Geoscience, Electronics, and Remote Sensing: Future Directions in City, Land, and Ocean Sustainable Development, AGERS 2023
SP - 114
EP - 118
BT - 2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2023
Y2 - 19 December 2023 through 20 December 2023
ER -
