Historical maps represent an important source of geographical information. The changes occurred over time can be extrapolated from them, especially if their geometric accuracies match those achievable with modern survey techniques. An 1820 map belonging to the Gregorian Cadastre provides the position of seven hermitages belonging to the monastery of Fara in Sabina (Italy). Just three of them are nowadays visible, while the others may have been covered by thick vegetation or been destroyed during the Second World War. The paper proposes the integration of geomatic techniques for the localization of the lost hermitages. To do so, Structure from Motion (SfM) algorithms were applied to UAV imagery to produce an orthophoto of the area. In addition, a GNSS survey was carried out using a professional and a low-cost receiver to correctly georeference the photogrammetric products. An accuracy assessment was then performed to evaluate the performance of the u-blox board in real applications. The accuracies obtained with the low-cost receiver indicates a possible more widespread utilization of these new devices. Subsequently, the comparison between the orthophoto and the cadastral map have been detailed. A weak correspondence between the position of the hermitages in the two maps have been observed. On the other side, the comparison led to the localization of two lost hermitages, with the other two being still undiscovered. This study has opened the door to an enhancement process of the monastery and to the rediscovery of the religious values of the hermitages.

Integrated geomatic techniques for the localization and georeferencing of ancient hermitages / Baiocchi, V.; Onori, M.; Scuti, M.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1750. - 46:M-1-2021(2021), pp. 31-37. (Intervento presentato al convegno 28th CIPA Symposium on Great Learning and Digital Emotion, CIPA 2021 tenutosi a Beijing, China) [10.5194/isprs-Archives-XLVI-M-1-2021-31-2021].

Integrated geomatic techniques for the localization and georeferencing of ancient hermitages

Baiocchi V.;Onori M.;
2021

Abstract

Historical maps represent an important source of geographical information. The changes occurred over time can be extrapolated from them, especially if their geometric accuracies match those achievable with modern survey techniques. An 1820 map belonging to the Gregorian Cadastre provides the position of seven hermitages belonging to the monastery of Fara in Sabina (Italy). Just three of them are nowadays visible, while the others may have been covered by thick vegetation or been destroyed during the Second World War. The paper proposes the integration of geomatic techniques for the localization of the lost hermitages. To do so, Structure from Motion (SfM) algorithms were applied to UAV imagery to produce an orthophoto of the area. In addition, a GNSS survey was carried out using a professional and a low-cost receiver to correctly georeference the photogrammetric products. An accuracy assessment was then performed to evaluate the performance of the u-blox board in real applications. The accuracies obtained with the low-cost receiver indicates a possible more widespread utilization of these new devices. Subsequently, the comparison between the orthophoto and the cadastral map have been detailed. A weak correspondence between the position of the hermitages in the two maps have been observed. On the other side, the comparison led to the localization of two lost hermitages, with the other two being still undiscovered. This study has opened the door to an enhancement process of the monastery and to the rediscovery of the religious values of the hermitages.
2021
28th CIPA Symposium on Great Learning and Digital Emotion, CIPA 2021
3D modelling; cultural heritage; georeferencing.; GNSS; Hermitages; photogrammetry; SfM; UAV
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
Integrated geomatic techniques for the localization and georeferencing of ancient hermitages / Baiocchi, V.; Onori, M.; Scuti, M.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1750. - 46:M-1-2021(2021), pp. 31-37. (Intervento presentato al convegno 28th CIPA Symposium on Great Learning and Digital Emotion, CIPA 2021 tenutosi a Beijing, China) [10.5194/isprs-Archives-XLVI-M-1-2021-31-2021].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1607468
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