The research aims to explore the representation of the landscape through methodologies and experiments that involve information systems aimed at reading and representing the landscape. The general objective of this project is to define a methodology that integrates data acquisition with the use of unmanned aerial vehicles (UAVs), point cloud management in GIS (Geographic Information System), and the cataloguing of information and the representation of landscape components through representational maps and 3D models in GIS. This workflow is aimed at promoting and improving the documentation, management, and enhancement processes of territorial heritage. The research thinks about the possibilities of information systems to transfer and assign an added value in the process of knowledge of the landscape, and to be exhaustive in the aspects of Representation, through maps and three-dimensional models. The case study is a part of the Caffarella Valley in Rome, near the Vaccareccia farmhouse, inside the Appia Antica Archaeological Park. The first phase concerns the aerial photogrammetric acquisition with a drone. The second phase involved the recognition of plant types through direct observation, collection of botanical samples, data cataloging and consultation with a botanist. Processing in the GIS environment involved: importing the point cloud; its classification; the processing of DEM, TIN and isoipse; the construction of the three-dimensional model of the buildings of the farmhouse; the representation of vegetation systems and the assignment of information attributes; the representation of the arboreal essences with the informative attributes concerning the vegetative, botanical and metric-dimensional state.

Colaceci, S., Cianci, M.G., Chiavoni, E. (2022). UAVs and GIS models for landscape representation. DISEGNARE CON..., 15(n. 29), 1-14 [10.20365/disegnarecon.29.2022.10].

UAVs and GIS models for landscape representation

Sara Colaceci;Maria Grazia Cianci;
2022-01-01

Abstract

The research aims to explore the representation of the landscape through methodologies and experiments that involve information systems aimed at reading and representing the landscape. The general objective of this project is to define a methodology that integrates data acquisition with the use of unmanned aerial vehicles (UAVs), point cloud management in GIS (Geographic Information System), and the cataloguing of information and the representation of landscape components through representational maps and 3D models in GIS. This workflow is aimed at promoting and improving the documentation, management, and enhancement processes of territorial heritage. The research thinks about the possibilities of information systems to transfer and assign an added value in the process of knowledge of the landscape, and to be exhaustive in the aspects of Representation, through maps and three-dimensional models. The case study is a part of the Caffarella Valley in Rome, near the Vaccareccia farmhouse, inside the Appia Antica Archaeological Park. The first phase concerns the aerial photogrammetric acquisition with a drone. The second phase involved the recognition of plant types through direct observation, collection of botanical samples, data cataloging and consultation with a botanist. Processing in the GIS environment involved: importing the point cloud; its classification; the processing of DEM, TIN and isoipse; the construction of the three-dimensional model of the buildings of the farmhouse; the representation of vegetation systems and the assignment of information attributes; the representation of the arboreal essences with the informative attributes concerning the vegetative, botanical and metric-dimensional state.
2022
Colaceci, S., Cianci, M.G., Chiavoni, E. (2022). UAVs and GIS models for landscape representation. DISEGNARE CON..., 15(n. 29), 1-14 [10.20365/disegnarecon.29.2022.10].
File in questo prodotto:
File Dimensione Formato  
2022_Colaceci_Chiavoni_Cianci_UAVs GIS.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 6.16 MB
Formato Adobe PDF
6.16 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/434432
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact