Updating Geospatial Data by Creating a High Resolution Digital Surface Model

Author:

Picu Iuliana Adriana Cuibac1

Affiliation:

1. National Center of Cartography, Cartography and Photogrammetry Department , 012101; Doctoral School, Technical University of Civil Engineering of Bucharest , 020396 , Romania

Abstract

Abstract Smart Cities are no longer just an aspiration, they are a necessity. For a city to be smart, accurate data collection or improvement the existing ones is needed, also an infrastructure that allows the integration of heterogeneous geographic information and sensor networks at a common technological point. Over the past two decades, laser scanning technology, also known as LiDAR (Light Detection and Ranging), has become a very important measurement method, providing high accuracy data and information on land topography, vegetation, buildings, and so on. Proving to be a great way to create Digital Terrain Models. The digital terrain model is a statistical representation of the terrain surface, including in its dataset the elements on its surface, such as construction or vegetation. The data use in the following article is from the LAKI II project “Services for producing a digital model of land by aerial scanning, aerial photographs and production of new maps and orthophotomaps for approximately 50 000 sqKm in 6 counties: Bihor, Arad, Hunedoara, Alba, Mures, Harghita including the High Risk Flood Zone (the border area with the Republic of Hungary in Arad and Bihor)”, which are obtained through LiDAR technology with a point density of 8 points per square meter. The purpose of this article is to update geospatial data with a higher resolution digital surface model and to demonstrate the differences between a digital surface models obtain by aerial images and one obtain by LiDAR technology. The digital surface model will be included in the existing geographic information system of the city Marghita in Bihor County, and it will be used to help develop studies on land use, transport planning system and geological applications. It could also be used to detect changes over time to archaeological sites, to create countur lines maps, flight simulation programs, or other viewing and modelling applications.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference26 articles.

1. Axelsson, P., 2000. DEM generation from laser scanner data using adaptive TIN models. The International Archives of the Photogrammetry and Remote Sensing, 33 (B4/1), pp. 110–117.

2. Bethmann, F., Luhmann T., 2014. Object-based Multi-Image Semi-Global Matching–Concept and first results. ISPRS-archives-XLI -5.10.5194/isprsarchives-XL-5-93-2014

3. Clark, M. L., Clark, D. B., and Roberts, D. A. 2004. “Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape. Remote Sensing of Environment 91(1), 68–89.

4. Cramer, M., 2005. Digital Camera Calibration and Validation. EuroSDR: GeoInformatics, 8, 16-19.

5. Donoghue, D.N.M., Watt, P.J., Cox, N.J., Wilson, J., 2007.

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