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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Geospatial
Agung Budi Harto, Agung
Remote Sensing and Geographic Information System Research Group. Faculty of Earth Sciences and Technology, Bandung Institute of Technology.
Computer Science & IT Earth & Planetary Sciences Engineering

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The Calculation of Erosion and Sedimentation Rate in Coastal Zone Using Satellite Imageries (Case Study: Kecamatan Muara Gembong, Kabupaten Bekasi, West Java) Ekaputri, Dianlisa; Windupranata, Wiwin; Budi Harto, Agung
Indonesian Journal of Geospatial Vol 3, No 2 (2014)
Publisher : Indonesian Journal of Geospatial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1061.267 KB)

Abstract

Abstract. Coastal zone is a transition area which always influenced by the changes of the land and ocean. The changes may occur due to the tide, current, wave, wind, sea water intrusion, runoff, contamination, or continental shelf area. As an effect, erosion and sedimentation phenomenon are occurred and could cause the changes of coastline shape. Kecamatan Muara Gembong which belongs to Kabupaten Bekasi is located in the Northern Coast of Java Island. Due to its geographical location, this area is threatened by the risk that is caused by erosion and sedimentation in the coastal zone. Therefore, study in this area is needed in order to identify the changes of the coastline. Coastline mapping through spatio-temporal LANDSAT-7 ETM+ satellite imageries is one of the methods to conduct this study. It uses satellite images from year 2000 – 2012. These images were processed by two visual image enhancement methods, named ratioing and BILKO algorithm, so that the visual differences between the land and the ocean could be identified. After the images were processed, coastline digitizing could be done annually from both methods. The result of this study is that there is a significant amount of erosion occurred in the coastal zone of Desa Pantai Bahagia and Desa Pantai Sederhana with the value of 139.05 Ha and 91.65 Ha from the ratioing method whereas the result from BILKO algorithm method is 141.56 Ha and 103.82 Ha. Desa Pantai Mekar has the least reduces, that is 30.44 Ha from ratioing method and 26.27 Ha from BILKO algorithm method. Based on Net Coastline Changes, the area of Kecamatan Muara Gembong from year 2000–2012 has reduced 346.54–349.56 Ha with the speed average of erosion that has been obtained is 28.88–29.13 Ha/year. Keywords: coastline changes, LANDSAT-7 ETM+ satellite imageries, erosion, sedimentation
Effect of dataset distribution on automatic road extraction in very high-resolution orthophoto using DeepLab V3+ Sussi, Sussi; Husni, Emir; Siburian, Arthur; Yusuf, Rahadian; Budi Harto, Agung; Suwardhi, Deni
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1650-1657

Abstract

Road extraction is one of the stages in the map-making process, which has been done manually, takes a long time, and costs a lot. Deep Learning is used to speed up the road extraction process by performing binary semantic segmentation on the image. We propose DeepLab V3+ to produce road extraction from very high-resolution orthophoto for Indonesia study area, which poses many challenges, such as road obstruction by trees, clouds, building shadows, dense traffic, and similarities to rivers and rice fields. We compared the distribution of datasets to obtain the optimal performance of the DeepLab V3+ model in relation to the dataset. The results showed that dataset ratio of 75:10:15 resulted in mean Intersection Over Union (mIoU) of 0.92 and Dice Loss of 0.042. Visually, the results of road extraction are more accurate when compared to the results obtained from different distributions of the dataset.
Co-Authors Deni Suwardhi Dianlisa Ekaputri, Dianlisa Emir Husni, Emir Siburian, Arthur Sussi Wiwin Windupranata, Wiwin Yusuf, Rahadian