Dr. Catur Aries Rokhmana Profile

Dr. Catur Aries Rokhmana

at Gadjah Mada Univ

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Proceedings Article | 22 December 2021 Paper

Sharpening of Sentinel-2 imagery for updating thematic layer of base maps

Catur Aries Rokhmana, Dani Puguh Laksono

Proceedings Volume 12082, 1208202 (2021) https://doi.org/10.1117/12.2619446

KEYWORDS: Short wave infrared radiation, Visualization, Image processing, Spatial resolution, Superposition, Composites, Satellites, Image fusion

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Currently, the Geospatial Information Agency of Indonesia has provided a relatively complete Base Maps RBI (Rupa Bumi Indonesia) on the map scale of 1/25,000 to 1/50,000. This Base maps data that can be downloaded for free via the https://tanahair.indonesia.go.id/. However, some of the RBI Maps were produced in 2001. Therefore, it is necessary to update the Maps. The existence of access to medium-resolution image data such as the Sentinel-2 satellite imagery can be a low-cost solution. However, the Sentinel-2 imagery should be enhanced for better visual interpretation. This research tries to sharpen Sentinel-2 imagery. The results can be used to update the existing themes in the RBI Map. This study takes the case of the Sleman district in the province of Yogyakarta area which is developing quite rapidly. The Sentinel-2 level 2A data from 2 epochs was used for sharpening. The process of sharpening is carried out with the concept of upscaling and superposition operator using two-epoch images. The procedure has succeeded in sharpening imagery for visible interpretation of selected band. After sharpening imagery, the thematic object's shape can be seen clearly so that visual interpretation is more reliable to use. Furthermore, band combination operators and the color composites formation are carried out to enhance the selected thematic objects more clearly. The process of updating the RBI map is done by visual interpretation. The road network theme data on the RBI map is used as a geometric and updated reference. So that the updating process is carried out in one block area that does not cross the road line. Sharpening of Sentinel-2 imagery has opened up opportunities to apply visual interpretation to update thematic objects on RBI maps at a 1/25,000 scale.

Proceedings Article | 21 November 2019 Open Access

DTM generation from aerial photo and Worldview-3 images by using different DSM filtering methods

Catur Aries Rokhmana, Ahmad Ridho Sastra

Proceedings Volume 11311, 113110J (2019) https://doi.org/10.1117/12.2547622

KEYWORDS: Clouds, Vegetation, Digital filtering, Orthophoto maps, Tin, Visualization, Image filtering, Spatial resolution, LIDAR, Photography

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The goal of this study is to analyze the suitability of filtering method towards the generation of Digital Terrain Model (DTM) from Digital Surface Model (DSM). In this case DSM was produced by optical images sensor with stereoscopic viewing. There are 2 kind of optical image that used which are Very High Resolution Satellite (VHRS) image Worldview-3 and Aerial Photograph from Drone mission. Furthermore, there are three different DSM filtering methods are used which are Elevation Threshold with Expand Window (ETEW), 2D Morphological Square (Morph 2D Filter), and Adaptive TIN (ATin). The ALDPAT v.1.0 software has used to implement those algorithm. In addition, the visual interpretation from their correspondent images are used to evaluate the quality of the filtering process. A good filtering result will remove the point that not represent a terrain. The missing of non-ground point due to the filtering process than filling by implementation the same interpolation algorithm. The ETEW and ATin filter algorithm are suitable for residential areas. While ATin filter algorithm give the best results in the vegetation area. An iterative filtering process should be implemented to make a non-terrain point completely remove. Further, an interpolation process should be made for filling the missing non-terrain point.

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