A spatial study of landscape patterns in landslide-prone areas at cikakak sub-district, west java

S. N. Aisyah, S. Supriatna, A. Rustanto

Research output: Contribution to journalConference articlepeer-review

Abstract

Landslides have a record of deadliest impact in Indonesia during 2015 – 2017. Landslide may be caused by human activities which deteriorate the environment condition such as by reconstructing the landscapes that may reduce the ecological functions. Therefore, mapping the landslide-prone area is necessary as one of the efforts to mitigate the disaster that could be following. The methods used in this study are the landscape metrics with FRAGSTATS 4.2. and Index Storie. Landscape metrics is useful to map the landscape pattern while the Index Storie can be used to map the landslide-prone area, both Indexes then being used for further analysis to determine the relationship between landscape patterns and landslide-prone areas in the study area. Deforestation in the study area is indicated by the values of PD, LPI, and IJI, the Index Storie shows that areas of moderate landslide-prone areas dominate the study area and have specific characteristics that trigger the landslides. A combination of landscape metrics and Index Storie show that the relationship between landscape patterns and landslide-prone areas can be one of the priorities determining tools used for monitoring and planning land cover as an effort to mitigate landslides.

Original languageEnglish
Article number012010
JournalIOP Conference Series: Earth and Environmental Science
Volume1089
Issue number1
DOIs
Publication statusPublished - 2022
Event4th International Geography Seminar 2020, IGEOS 2020 - Virtual, Online
Duration: 29 Sept 202030 Sept 2020

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