Object-Based on Land Cover Classification on LAPAN-A3 Satellite Imagery Using Tree Algorithm (Case Study: Rote Island)

LAPAN became serious about making a remote sensing satellite on its third-generation satellite. Launched year after LAPAN-A2, the satellite, LAPAN-A3, brought LISAT as main payload. is multispectral camera with 4 bands (Red, Green, Blue, NIR) that can be used for land classification, agriculture monitoring, drought and use changing. LAPAN-A3 third generation of micro-satellite developed by Satellite Technology Center – LAPAN. This carries push-broom sensor record earth's surface at visible near-infrared spectrum. This paper aims to determine object-based cover classification in Rote Island using image tree method algorithm. technique expected increase accuracy classification. imagery Island. The first process was determined segmentation scale parameter 60, shape 0.5, compactness 0.5. result shows OBIA Island, area open class 233.67 km2, settlement 11.57 body water 2006.21 km2, low vegetation 525.93 high 437.5 there no data (cloud cloud shadows) 45.78 km2. values obtained were producer 86.67%, KIA 83.02%, Helden 92.86%, Short 86.7%, per 82.72%, 85.96%. meet international national standards, namely 80%.