In the realm of geospatial sciences, the utilisation of Unmanned Aerial Vehicles (UAVs) has emerged as a transformative tool for acquiring high-resolution spatial data. UAVs, equipped with advanced sensors, offer an unprecedented capability to capture detailed terrain information, essential for applications ranging from topographic mapping to environmental monitoring. This study focuses on evaluating the accuracy of height determination in Digital Terrain Models (DTM) derived from UAV data, with a specific emphasis on utilising the Sarawak Geocentric Datum. The objective is to ensure reliable and precise elevation information for diverse applications in the Sarawak region. The methodology involves the strategic deployment of Ground Control Points (GCPs) for georeferencing, adhering to the Sarawak Geocentric Datum. Coordinate system consistency is maintained throughout data collection and processing, guaranteeing accurate height determination. Vertical accuracy assessment is conducted by comparing UAV-derived heights against ground truth points, employing statistical measures such as root mean square error (RMSE) for quantitative evaluation. To enhance data reliability, rigorous data quality control procedures are implemented, addressing errors during acquisition and processing. Spatial resolution and sampling density are carefully considered to meet the specific requirements of the study area, capturing fine-scale terrain features accurately. The outcomes of this research aim to contribute valuable insights to geospatial practitioners, land-use planners, and infrastructure developers relying on precise elevation information in the Sarawak region. By evaluating the accuracy of UAV-derived DTMs within the Sarawak Geocentric Datum, this study addresses a critical aspect of geospatial data quality and supports informed decision-making for applications such as Native Customary Right (NCR) survey planning, environmental monitoring, land management, and infrastructure planning.

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Assessing Height Determination Accuracy in Digital Terrain Models (DTM) Derived from UAV Data Using Sarawak Geocentric Datum

  • Ramzi Abdillah,
  • Hajah Siti Romiza Romali,
  • Madeline Anak Ambit,
  • Mohd Faizury Abol Hassan,
  • Stephen Ling Jin Huat,
  • Wan Anom Wan Aris

摘要

In the realm of geospatial sciences, the utilisation of Unmanned Aerial Vehicles (UAVs) has emerged as a transformative tool for acquiring high-resolution spatial data. UAVs, equipped with advanced sensors, offer an unprecedented capability to capture detailed terrain information, essential for applications ranging from topographic mapping to environmental monitoring. This study focuses on evaluating the accuracy of height determination in Digital Terrain Models (DTM) derived from UAV data, with a specific emphasis on utilising the Sarawak Geocentric Datum. The objective is to ensure reliable and precise elevation information for diverse applications in the Sarawak region. The methodology involves the strategic deployment of Ground Control Points (GCPs) for georeferencing, adhering to the Sarawak Geocentric Datum. Coordinate system consistency is maintained throughout data collection and processing, guaranteeing accurate height determination. Vertical accuracy assessment is conducted by comparing UAV-derived heights against ground truth points, employing statistical measures such as root mean square error (RMSE) for quantitative evaluation. To enhance data reliability, rigorous data quality control procedures are implemented, addressing errors during acquisition and processing. Spatial resolution and sampling density are carefully considered to meet the specific requirements of the study area, capturing fine-scale terrain features accurately. The outcomes of this research aim to contribute valuable insights to geospatial practitioners, land-use planners, and infrastructure developers relying on precise elevation information in the Sarawak region. By evaluating the accuracy of UAV-derived DTMs within the Sarawak Geocentric Datum, this study addresses a critical aspect of geospatial data quality and supports informed decision-making for applications such as Native Customary Right (NCR) survey planning, environmental monitoring, land management, and infrastructure planning.