An Integrated Approach to Land Condition Mapping:Combining Terrestrial Surveys, Photogrammetry, and GIS for Data Center Development in Nongsa Special Economic Zone

Sudra Irawan; Prastiwo Anggoro; Rizki Widi Pratama; Farouki Dinda Rassarandi; Marsanda Nainggolan; Muhammad Adi Hasan Basri; M. Rajab Al Hakim; Fridheani Reshana Sembiring; Pernando Simanjuntak; Tia Artini; Satriya Bayu Aji

doi:10.25299/jgeet.2025.10.02.21462

Authors

Sudra Irawan Professional Engineer Program, Department of Mechanical Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Prastiwo Anggoro PT. Lancang Kuning Sukses , Bintang Industrial Park Lot B-308, Batam, Riau Islands, Indonesia
Rizki Widi Pratama Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Farouki Dinda Rassarandi Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Marsanda Nainggolan Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Muhammad Adi Hasan Basri Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
M. Rajab Al Hakim Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Fridheani Reshana Sembiring Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Pernando Simanjuntak Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Tia Artini Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.
Satriya Bayu Aji Geomatics Technology, Department of Informatics Engineering, Politeknik Negeri Batam, Batam, Riau Islands, Indonesia.

DOI:

https://doi.org/10.25299/jgeet.2025.10.02.21462

Keywords:

Terrestrial Survey, Photogrammetry, GIS, Land Condition Mapping, Flood, Nongsa SEZ

Abstract

Accurate and comprehensive land condition mapping is crucial for infrastructure development planning, particularly for data center construction in Nongsa Special Economic Zone (SEZ). This research integrates terrestrial survey, photogrammetry, and geographic information system (GIS) data to produce optimal land condition maps. The methodology involves field data collection through terrestrial measurements, aerial photography using photogrammetry, and data processing/analysis using GIS tools. This integrated approach enables the creation of comprehensive land condition maps, incorporating topography, land use, and other supporting parameters. The results demonstrate improved mapping accuracy and detailed spatial information, supporting informed location decisions. Eleven thematic maps were created, including topography, longitudinal and transverse profiles, composite volume, DSM/DTM contours, land cover, soil type, slope, water density, and flood hazard maps. Flood hazard analysis reveals that Nongsa has low (1.13 km²), moderate (61.16 km²), high (34.32 km²), and very high (0.0078 km²) flood risk areas. The majority of Nongsa (61.16 km²) falls within the moderate flood risk category. This research identifies that a significant portion of Nongsa, specifically 61.16 km², is categorized as having a moderate flood risk, highlighting the need for targeted infrastructure planning and risk mitigation strategies in the development of data centers within the SEZ. The results of this study also provide important insights into the impact of land use changes on the local ecosystem, making them valuable for planning more environmentally friendly and sustainable development.

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