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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-X-5-W2-2025-713-2025</article-id>
<title-group>
<article-title>Contemporary Geospatial Technologies for Urban Planning and Infrastructure Development</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Verma</surname>
<given-names>Shipra</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Research Scholar M.N.N.I.T. Allahabad, India</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>X-5/W2-2025</volume>
<fpage>713</fpage>
<lpage>718</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Shipra Verma</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/X-5-W2-2025/713/2025/isprs-annals-X-5-W2-2025-713-2025.html">This article is available from https://isprs-annals.copernicus.org/articles/X-5-W2-2025/713/2025/isprs-annals-X-5-W2-2025-713-2025.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/X-5-W2-2025/713/2025/isprs-annals-X-5-W2-2025-713-2025.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/X-5-W2-2025/713/2025/isprs-annals-X-5-W2-2025-713-2025.pdf</self-uri>
<abstract>
<p>In recent years, continuous development in surveying and mapping technologies has also ushered in new developments and breakthroughs in civil engineering projects. Contemporary surveying and mapping technologies, such as remote sensing, GPS (Global Positioning System), Smart Stations, UAV (Unmanned Aerial Vehicles), GPR (Ground Penetrating Radar), LiDAR (Light Detection and Ranging) and GIS (Geographic Information System) have not only provided fast results but also improved the accuracy of mapping infrastructures. This paper discusses the role of these technologies in enhancing the efficiency and effectiveness in civil engineering projects. The modern surveying and mapping technologies have revolutionized the field of civil engineering by providing critical data/information, such as BIM (Building Information Modelling), DEM (Digital Elevation Model) and DSM (Digital Surface Model) required for planning, design, construction, management and monitoring of infrastructure projects.&lt;/p&gt;
&lt;p&gt;The integration of these technologies with the capabilities of AI (Artificial Intelligence) and ML (Machine Learning) enables accurate terrain mapping, real-time monitoring, and data-driven decision-making for the development of more efficient, sustainable, and resilient infrastructure that supports the needs of modern society, which are crucial for ensuring the safety, sustainability, and resilience of modern infrastructure. This paper also examines the potential benefits and limitations of these technologies.</p>
</abstract>
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