CORRELATION BETWEEN SOIL WATER INDEX (SWI) AND SOIL MOISTURE INDEX (SMI) TO POTENTIAL LANDSLIDE DISASTER CASE STUDY : LEBAK REGENCY

• Main Author: Rahmah Rusdi, Siti
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79161
• Institution: Institut Teknologi Bandung

Lebak Regency is an area in Indonesia that has many years affected by the Landslide disaster. To reduce disaster risks and protects communities from their impact is essential to mapping the Landslide hazard with do studies from various aspects, like landuse change, soil conditions, rainfall, slope, etc. This research aims to analyze rainfall, and determine correlation between the various of soil moisture index (SMI) with soil water index (SWI) using a remote sensing technology based on GPM Imerg, Landsat, Moderate Resolution Imaging Spectroradiometer (MODIS) and Metop Ascat satellite. Remote sensing technology makes a good contribution to the research process, especially for research that covers a wide area and over a long period of time. Soil Moisture Index (SMI) is a method that can be used to estimate the level of soil moisture using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) values. The results showed that Lebak Regency has quite a lot of rainfall, especially during the wet season ranged from 250 – 500 mm in February to April and November to Desember. Dry season is July to August ranged from 0 – 120 mm. SMI and SWI is categorize into five class namely very high, high, moderate, low and very low. The results of SMI analysis show that most of the study area in the dry season has low class of moisture, while in the wet season it has moderate. The final results of this study show there is no correlation between soil moisture index dan soil water index.