Performance of LAPAN-A2 satellite data to classify land cover/land use in Semarang, Central Java

Abstract

LAPAN-A2 is a 2nd generation of microsatellite developed by the Indonesian National Institute of Aeronautics and Space (LAPAN), Indonesia. This satellite has been launched on September 28, 2015, with several primary missions are: Earth observation using an RGB camera, maritime traffic monitoring using Automatic Identification System (AIS), and supporting disaster mitigation through amateur radio automatic packet reporting system (APRS) and a voice repeater. The installed camera on the satellite can provide imagery with 3.5 m spatial resolution and able to view a swath 7 km wide. This study is attempt to classify and evaluate the accuracy of land cover and land use (LCLU) map classified from the LAPAN-A2 satellite data. As a reference we used the Pleiades-1A Orthorectified imagery data with 0.5 m spatial resolution. Through visual interpretation method, we classified the LCLU into five classess as follows: water body, building, vegetation, road, and bare land. The confusion matrix was applied to evaluate the classification results for three selected area of interest (AOI). We obtained the overall accuracy, producer's accuracy, and user's accuracy are about 61.77%, 61.02%, and 83.78% respectively.