Special Issue "Remote Sensing, Metric Survey and Spatial Information Technologies for Heritage Management"

The technological development of Remote Sensing, Photogrammetry, and the disciplines that are today grouped under Geomatics (e.g., GIS, HBIM) offers every year, new ideas and new products that can help with the documentation, intervention, monitoring, and day-by-day management of cultural heritage assets. Cultural Heritage assets are today extremely in danger due to different natural and human factors (e.g., climate change, earthquakes, hydrogeological risks, wars, urban development). The experts involved in cultural heritage management (documentation, intervention, day-by-day management) are continuously looking for the best possible solutions to their needs, by considering both technical and economic aspects. The proposed Special Issue of Remote Sensing aims to explore the potentialities of the new primary data for metric and semantic description of cultural heritage assets (e.g., landscapes, urban centers, buildings, sculptures, paintings, books, underground and underwater resources) and the new tools to manage all those data in a coherent and effective way to describe their basic physical properties and to monitor their changes over the times.

Deadline for manuscript submissions: 31 July 2020.

Keywords

  • Remote sensing
  • Photogrammetry
  • GIS and HBIM
  • Quality assessment
  • Satellite image processing
  • Aerial image processing
  • Terrestrial and underwater image processing
  • CH documentation
  • CH monitoring

Special Issue Editors:

Prof. Fulvio Rinaudo

Prof. Dr. José Luis Lerma

 

 

For further information please visit the MDPI webpage

 

 

Special Issue Proposal ""Heritage 3D Modeling from Remote Sensing Data"

Dear Colleagues,

The advancement of image-based sensors and algorithms in recent years has led to changes in work methodologies in different fields, and the area of cultural heritage (CH) is not an exception. The possibilities for CH recording, documentation, and dissemination have increased, whereas 3D modeling techniques have acquired certain maturity in the last decade. However, the creation of reliable 3D CH models from images still presents geometric and radiometric difficulties. Moreover, CH analysis involves several disciplines (archeologists, historians, surveyors, etc.), so each of them aims at optimizing different performance metrics. The inherent complexity of CH leads to a combination of sensors and techniques, but their fusion and hybridization is a hot topic in the scientific community. Moreover, the necessity of complete virtual documentation of the CH element for planning and management tasks requires the consideration of specific modeling algorithms to automate the operation, as well as specific information models, such as Heritage BIM. This escalating demand, along with the need for accurate and dense 3D geospatial information in CH, is the driving force that leads geomatics to propose innovative solutions, ranging from new open-source software approaches to the development of artificial intelligence approaches. The aim of the present Special Issue is to cover the relevant topics, trends, and best practices in image-based 3D modeling for CH sites and scenarios, and also to introduce new tendencies in the field.

We would like to invite you to contribute by submitting articles about your recent research, experimental work, reviews, and/or case studies related to the field of image-based modeling. Contributions may be from, but not limited to, the following topics:

  • 3D modeling for CH from images from different geomatics sensors: Terrestrial, drones, airborne, satellite;
  • Latest developments in image-based documentation techniques;
  • 3D modeling of historical heritage;
  • Automation in 3D modeling;
  • Data and sensor integration;
  • Multiscale CH documentation;
  • Semantic classification of point clouds;
  • From point cloud to BIM for CH assets/sites;
  • BIM applied to CH assets/sites;
  • Virtual reality for CH;
  • Open-source software approaches;
  • Accuracy and precision assessment of CH modeling;
  • Remote sensing for CH;
  • Mobile mapping for CH documentation.

Deadline for manuscript submissions: 31 January 2020.

Special Issue Editors:

Dr. Pablo Rodríguez-Gonzálvez

Prof. Dr. Francesco Fassi 

Prof. Dr. Fabio Remondino

 

 

For further information please visit the MDPI webpage