TY - JOUR
T1 - Understanding the nature of landslides through detailed geomorphological mapping on the Sumbing Volcanic Landscape, Java Island, Indonesia
AU - Pratiwi, Elok Surya
AU - Shen, Su min
AU - Sartohadi, Junun
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps.
PY - 2024
Y1 - 2024
N2 - A 1:2,500-scale geomorphological map was created to illustrate the landslide characteristics on the southern flank of the Sumbing Volcanic Landscape (SVL), Java Island, Indonesia. High-resolution LiDAR Digital Terrain Model (DTM), Global Navigation Satellite System (GNSS) data, Unmanned Aerial Vehicle (UAV)-based aerial photographs, and field surveys were integrated to enable detailed landform interpretation of post-volcanic mass wasting processes. Landslides were classified by type, activity level, and origin. Additionally, morphometric analysis, including slope and area measurements, was conducted. Through this detailed geomorphological mapping process, it reveals that most recent landslides have developed within relict landslides, which were previously overlooked. It also detects smaller, more hazardous landslides caused by human activities, in addition to those triggered by natural forces. This study represents the first large-scale geomorphological mapping effort integrating high-resolution datasets in Indonesia’s dormant volcanic landscapes. It will enhance understanding of landslide characteristics and will support disaster management strategies.
AB - A 1:2,500-scale geomorphological map was created to illustrate the landslide characteristics on the southern flank of the Sumbing Volcanic Landscape (SVL), Java Island, Indonesia. High-resolution LiDAR Digital Terrain Model (DTM), Global Navigation Satellite System (GNSS) data, Unmanned Aerial Vehicle (UAV)-based aerial photographs, and field surveys were integrated to enable detailed landform interpretation of post-volcanic mass wasting processes. Landslides were classified by type, activity level, and origin. Additionally, morphometric analysis, including slope and area measurements, was conducted. Through this detailed geomorphological mapping process, it reveals that most recent landslides have developed within relict landslides, which were previously overlooked. It also detects smaller, more hazardous landslides caused by human activities, in addition to those triggered by natural forces. This study represents the first large-scale geomorphological mapping effort integrating high-resolution datasets in Indonesia’s dormant volcanic landscapes. It will enhance understanding of landslide characteristics and will support disaster management strategies.
KW - Detailed geomorphological map
KW - LiDAR DTM
KW - Sumbing Volcanic Landscape
KW - disaster management
KW - landslide investigation
UR - https://www.scopus.com/pages/publications/85209910376
UR - https://www.scopus.com/pages/publications/85209910376#tab=citedBy
U2 - 10.1080/17445647.2024.2429710
DO - 10.1080/17445647.2024.2429710
M3 - Article
AN - SCOPUS:85209910376
SN - 1744-5647
VL - 20
JO - Journal of Maps
JF - Journal of Maps
IS - 1
M1 - 2429710
ER -