Identifying Slum Area Spread Based on Multi-temporal Imagery Data

Abstract

A settlement is one of the vital necessities of human life besides food and clothing. The quantity and quality of settlements are an indicator of well-being. Moreover, at a broader scale, it is an indicator of a city’s welfare. The strong attraction of a growing city generates urbanization flowing from its surrounding villages. Poor people tend to be marginalized, living crammed in frail spaces or in illegal areas such as riverbanks and the periphery. Without drainage and waste services, these settlements will be transformed into a slum area. In this study, satellite imagery analysis is applied to identify the spread of slum area more efficiently. This research is a preliminary step in determining the slum area based on geographic imagery patterns and physical characteristics of Paser Regency. The results of this study are considered to be useful as basis data for determining preventive action to manage the slum area growth in the Paser Regency. Slum-level assessment is assigned through a scoring analysis of the character of every district over slum criteria. “Temporary building criteria” is no longer relevant to Paser Regency cases according to the AHP analysis result. Muara Langon and Uko villages are categorized as villages with low slum level. This study indicates that the villages having a moderate level include Muarakomam, Uko, Busui, Songka, Batu Kajang, Sungaiterik, Klempangsari, Keluanglolo, Sempulang, Janju, Tepian Batang, Kendarom, Modang, Sandeley, Semuntai, Lombok, Pait, Longikis, Krayan Bahagia, Kayungo, Busui, Krayanjaya, Long Kali, and Sebakung villages. The villages that can be categorized as a high slum level from this study are Kuaro, Tanah Grogot, Sungai Tuak, Tanah Periuk, Padang Jaya, and Rangan villages.