Municipal map model for the Dominican Republic, using drone-based digital photogrammetry and GIS. Case study: San José de Ocoa urban area

Updating urban cartography is essential for territorial development planning and management in the Dominican Republic, where municipalities lack Geographic Information Systems (GIS) that detail local productive components. To address this need, a municipal cartographic model was proposed using digital photogrammetry with a UAV and GIS, focusing on the municipality of San José de Ocoa. The study area was delimited using Google Earth satellite images and a flight was conducted with a Phantom 4 RTK drone, employing RTK/PPK techniques to ensure the accuracy of the geographic coordinates. GNSS observations were stored in RINEX 3.02 format for possible subsequent adjustments.Nine flights were conducted, obtaining 4 985 georeferenced photos with accuracies of less than 2 cm. Image processing was performed in three stages using Agisoft Metashape, generating digital terrain models and contour lines with Global Mapper. Subsequently, urban map elements, such as buildings and street axes, were vectorized using Civil 3D and orthophotos as reference.The result was a georeferenced plan including the footprints of buildings and bodies of water, exported in shapefile format. Finally, the cartography was validated by a walk through the municipality, updating the vectorized information with data from the UAV survey

Authors

Institutions

Publication Details

Journal
Land and Architecture
Published
2025-06-22
DOI
https://doi.org/10.56294/la2026259
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Municipal map model for the Dominican Republic, using drone-based digital photogrammetry and GIS. Case study: San José de Ocoa urban area

Juan Manuel Sosa, Eva Mejía, Pedro Enrique Sosa Veras
Land and Architecture
3D Surveying and Cultural Heritage
article

Municipal map model for the Dominican Republic, using drone-based digital photogrammetry and GIS. Case study: San José de Ocoa urban area

Juan Manuel Sosa, Eva Mejía, Pedro Enrique Sosa Veras
article en

Abstract

Updating urban cartography is essential for territorial development planning and management in the Dominican Republic, where municipalities lack Geographic Information Systems (GIS) that detail local productive components. To address this need, a municipal cartographic model was proposed using digital photogrammetry with a UAV and GIS, focusing on the municipality of San José de Ocoa. The study area was delimited using Google Earth satellite images and a flight was conducted with a Phantom 4 RTK drone, employing RTK/PPK techniques to ensure the accuracy of the geographic coordinates. GNSS observations were stored in RINEX 3.02 format for possible subsequent adjustments.Nine flights were conducted, obtaining 4 985 georeferenced photos with accuracies of less than 2 cm. Image processing was performed in three stages using Agisoft Metashape, generating digital terrain models and contour lines with Global Mapper. Subsequently, urban map elements, such as buildings and street axes, were vectorized using Civil 3D and orthophotos as reference.The result was a georeferenced plan including the footprints of buildings and bodies of water, exported in shapefile format. Finally, the cartography was validated by a walk through the municipality, updating the vectorized information with data from the UAV survey

Land and ArchitectureVol. 5
Universidad Autónoma de Santo Domingo (DO)
Sustainable cities and communities
Openalex Percentile: Top 79%
3D Surveying and Cultural Heritage
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.