Spatial Modelling for Food Vulnerability Using Remote Sensing Data and GIS (Study Case in Klungkung Regency, Bali)

Abstract

Food insecurity is an important thing that must be reviewed because it relates to the lives of many people. Food security is composed of subsystems, availability, distribution, and consumption so that if one of subsystem is not well functioning, there will be a problem of food insecurity. Remote sensing can help us to review food insecurity spatially through land critical levels, erosion potential level, and PUSO (crop failure) potential level. The erosion potential is influenced by rainfall and slope that can be obtained from interpolation of rainfall stations and the elevation points. Land critical level is influenced by the percentage of canopy cover, drainage, and soil solum thickness. While PUSO potential can be obtained from flood potential and rainfall intensity. With remote sensing, we can map the locations that were suffered from food insecurities. Thus, adequate distribution of food needs for the community can be done by the local government. Beside of the physical factors, for the distribution of food insecurity area is also influenced by the population income which locates the insecure area in poverty line. in conclusion, this Food Insecurity Map is very helpful for identifying the food needs of the local community. remote sensing data that used are Landsat 8 Imagery and Rapid-Eye Imagery in 2013 to produce Food Insecurity Map in Klungkung, Bali.