Development of Annual Composite Algorithm using Landsat-8 to Minimizes Cloud (Case Study: Southern Part of Central Kalimantan)

Since January 2013, Landsat-8 data can be freely accessed from LAPAN, making it possible to use the all available Landsat-8 data to produce the cloud-free Landsat-8 composite
images. This study used Landsat-8 archive images in 2015, Operational Land Imager (OLI) sensor in 30 meters resolution, geometric correction level of L1T. The eight data in L1T of
118-062,southern part of Central Kalimantanwere used to produce a cloud-free composite image. Radiometric correction using Top of Atmospher (TOA) and Bidirectional Reflectance
Distribution Function(BRDF) algorithm to produce reflectance images have been applied, and then the most cloud-free pixels were selected in composite result. Six composite methods base
on greeness, open area and haze indexs were compared, and the best one was selected using visual analysis. The analysis shows that the composite algorithm using Max (Max (NIR,
SWIR1) / Green) produces the best image composite.