TY - JOUR
T1 - A spatial study of landscape patterns in landslide-prone areas at cikakak sub-district, west java
AU - Aisyah, S. N.
AU - Supriatna, S.
AU - Rustanto, A.
N1 - Funding Information:
Gratitude is addressed to The Directorate of Research and Community Service (DRPM) Universitas Indonesia which has supported and funded this research grant PUTI UI 2020.
Publisher Copyright:
© 2022 Institute of Physics Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85142468163&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1089/1/012010
DO - 10.1088/1755-1315/1089/1/012010
M3 - Conference article
AN - SCOPUS:85142468163
SN - 1755-1307
VL - 1089
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012010
T2 - 4th International Geography Seminar 2020, IGEOS 2020
Y2 - 29 September 2020 through 30 September 2020
ER -