Mr. Mohammad Isnaini Sadali Profile

Mohammad Isnaini Sadali

at Univ. Gadjah Mada

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Proceedings Article | 21 November 2019 Open Access

The role of detail spatial data resulted from unmanned aerial vehicle for tourism area planning in Karst Area, Gunungkidul

Warsini Handayani, Yudhistira Tri Nurteisa, Mohammad Isnaini Sadali

Proceedings Volume 11311, 113110N (2019) https://doi.org/10.1117/12.2548391

KEYWORDS: Unmanned aerial vehicles, Data acquisition, Orthophoto maps, Data modeling, Analytical research, Agriculture, Vegetation, Bridges, Data processing, Satellite navigation systems

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Karst area has a fascinating tourist attraction especially special interest tourism such as cave tubing in Kalisuci turism area, Gunungkidul, Yogyakarta. The presence of visitor restrictions has an impact on tourism waiting times. However, it also spurs the development potential besides cave exploration. Planning and development of tourist sites that include locations and consider the existing conditions of the region can only be done optimally with data and spatial analysis. On the other hand, the specific terrain condition, steeply hilly karst, is a great challenge in planning and developing karst area. This research aims to built basic spatial data in the Kalisuci Tourism area and provide a reference about the role of spatial data produced for planning special interest tourism in Kalisuci karst area, Gunungkidul. Basic spatial data is built from the results of data acquisition using Unmanned Aerial Vehicle (UAV) technology. This data is very important in the planning inputs for the development of the Kalisuci special interest tourism area in supporting the planning of tourist areas in accordance with terrain conditions. In addition, the data obtained from acquisition with UAVs are expected to provide detail spatial data collection, which is currently very limited. The resulting data are small format aerial photographs, aerial photo imagery (orthorectification results), and digital elevation models in the form of Digital Surface Model (DSM). This paper discusses how far the data generated can contribute to overall field observation and assist in planning special interest tourism in karst area.

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