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Landslide assessment using interferometric synthetic aperture radar in Pacitan, East Java Dimas Bayu Ichsandya; Muhammad Dimyati; Iqbal Putut Ash Shidiq; Faris Zulkarnain; Nurul Sri Rahatiningtyas; Riza Putera Syamsuddin; Farhan Makarim Zein
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2614-2625

Abstract

Landslides are a common type of disaster in Indonesia, especially in steep-slope areas. The landslide process can be well understood by measuring the surface deformation. Currently, there are no practical solutions for measuring surface deformation at landslide locations other than field surveys in the Pacitan Regency. We apply LiCSBAS, to identify surface deformation in several landslide locations in a specific non-urban area with mixed topographical features. LiCSBAS is a module that utilizes data from the project of looking inside the continent from space (LiCS), using the new small baseline area subset (NSBAS) method. This study utilizes the leaf area index (LAI) to validate the ability of LiCSBAS to detect surface deformation values at landslide locations. The study succeeded in identifying surface deformations at 100 landslide locations, with deformation values ranging from 15.1 to 10.9 millimeters per year. Most of the landslide locations are closely related to volcanic rocks and volcanic sediments on slopes of 30–35°. The NSBAS method in the LiCSBAS module can reduce gaps error in the sentinel-1 image network. However, the utilization of the C-band at a pixel size of 100 meters made surface deformation only well detectable in a large open landslide area.
Correlation Between Characteristic Meteorological Drought and Climate Variability in Gunungkidul Regency Using SPI Astrid Damayanti; Adyaksa Grahito Bagas Pamungkas; Riza Putera Syamsuddin
International Journal of Remote Sensing and Earth Sciences Vol. 22 No. 1 (2025)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v22i1.14959

Abstract

Meteorological droughts are the beginning of all kinds of droughts that can affect food security and human well-being, It can cause humans to move to other areas. Meteorological droughts are closely related to rainfall that can be affected by climate variabilities such as El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD), thus causing long drought conditions. Drought problems almost every year occur in Indonesia, including Gunungkidul Regency. Therefore, this research is expected to provide prevention of sustainable drought impacts and as a reference for further research. This study used data from a period of 30 years from 1991 to 2020 which included rainfall, sea level pressure (SLP), and sea surface temperature (SST) data. The Standardized Precipitation Index (SPI) was used in this study to characterize drought and classify drought levels with a time scale of 3 and 12 months. Climate variability was identified using the Southern Oscillation Index (SOI) for ENSO and the Dipole Mode Index (DMI) for IOD. Spatial descriptive analyses and statistical descriptive analyses are used to examine meteorological drought characteristics and patterns. In 30 years, Gunungkidul Regency faced drought events at least more than 70 times. Meteorological droughts tend to occur in areas that have elevation between 200 – 400 masl, 400 – 600 masl, 0 – 200 masl, and >600 masl. The meteorological drought in Gunungkidul Regency will get worse if there is an El Nino and Positive IOD phase simultaneously.