International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 1, February 2018, pp. 360~371 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i1.pp360-371  360 Journal homepage: http://iaescore.com/journals/index.php/IJECE A Minimum Cloud Cover Mosaic Image Model of the Operational Land Imager Landsat-8 Multitemporal Data using Tile based Ratih Dewanti Dimyati 1 , Projo Danoedoro 2 , Hartono 3 , Kustiyo 4 1,2,3 Gadjah Mada University, Indonesia 4 LAPAN, Indonesia Article Info ABSTRACT Article history: Received Dec 25, 2017 Revised Jan 5, 2018 Accepted Jan 10, 2018 The need for remote sensing minimum cloud cover or cloud free mosaic images is now increasing in line with the increased of national development activities based on one map policy. However, the continuity and availability of cloud and haze free remote sensing data for the purpose of monitoring the natural resources are still low. This paper presents a model of medium resolution remote sensing data processing of Landsat-8 uses a new approach called mosaic tile based model (MTB), which is developed from the mosaic pixel based model (MPB) algorithm, to obtain an annual multitemporal mosaic image with minimum cloud cover mosaic imageries. The MTB model is an approach constructed from a set of pixels (called tiles) considering the image quality that is extracted from cloud and haze free areas, vegetation coverage, and open land coverage of multitemporal imageries. The data used in the model are from Landsat-8 Operational Land Imager (OLI) covering 10 scenes area, with 2.5 years recording period from June 2015 to June 2017; covered Riau, West Sumatra and North Sumatra Provinces. The MTB model is examined with tile size of 0.1 degrees (11x11 km 2 ), 0.05 degrees (5.5x5.5 km 2 ), and 0.02 degrees (2.2x2.2 km 2 ). The result of the analysis shows that the smallest tile size 0.02 gives the best result in terms of minimum cloud cover and haze (or named clear area). The comparison of clear area values to cloud cover and haze for three years (2015, 2016 and 2017) for the three mosaic images of MTB are 68.2%, 78.8%, and 86.4%, respectively. Keyword: Minimum cloud cover mosaic image Mosaic Pixel Based model Mosaic Tile Based model One map policy Standardization policy data processing mosaic The annual image data Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Ratih Dewanti Dimyati Gadjah Mada University, Yogyakarta, Indonesia. Telp. +62-21-8710786 Email: ratih_dewanti@lapan.go.id 1. INTRODUCTION The need for remote sensing image mosaic of minimum cloud cover for wide area analysis, such as provincial level, is now increasing, it is in line with the increase of national development activities that implement one map policy as stated in the Laws [1], among others Law No. 4 of 2011 on geospatial information [2], and Law No. 6 of 2014 on the village [3]. However, the continuity and availability of medium resolution Remote Sensing data in Indonesia for the purpose of monitoring natural and environmental resources is still low, moreover for the areas often covered by cloud and haze, such as Sumatra, Kalimantan and Papua [4], [5]. Meanwhile, LAPAN as the Institution assigned to provide annual remote sensing data with minimum cloud cover and cloud free for all Indonesian territory, and the provision of information related to the image quality [6], has not yet continuously provided such data. This is because until now there has been