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Remote Sensing
Volume 13
Issue 17
10.3390/rs13173483
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Article

Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy

by
Jakub Tyc
1,*,
Defne Sunguroğlu Hensel
2,
Erica Isabella Parisi
3,
Grazia Tucci
3 and
Michael Ulrich Hensel
1
1
Research Department for Digital Architecture and Planning, Vienna University of Technology, Karlsplatz 13, A-1040 Vienna, Austria
2
Green Technologies in Landscape Architecture, Technical University Munich, Arcisstrasse 21, 80333 Munich, Germany
3
Laboratory of Geomatics for Environment and Conservation of Cultural Heritage (GeCo), Department of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Florence, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(17), 3483; https://doi.org/10.3390/rs13173483
Submission received: 8 July 2021 / Revised: 25 August 2021 / Accepted: 30 August 2021 / Published: 2 September 2021
(This article belongs to the Section Remote Sensing in Agriculture and Vegetation)
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Abstract

Understanding socio-ecological systems and the discovery, recovery and adaptation of land knowledge are key challenges for sustainable land use. The analysis of sustainable agricultural systems and practices, for instance, requires interdisciplinary and transdisciplinary research and coordinated data acquisition, data integration and analysis. However, datasets, which are acquired using remote sensing, geospatial analysis and simulation techniques, are often limited by narrow disciplinary boundaries and therefore fall short in enabling a holistic approach across multiple domains and scales. In this work, we demonstrate a new workflow for interdisciplinary data acquisition and integration, focusing on terraced vineyards in Tuscany, Italy. We used multi-modal data acquisition and performed data integration via a voxelised point cloud that we term a composite voxel model. The latter facilitates a multi-domain and multi-scale data-integrated approach for advancing the discovery and recovery of land knowledge. This approach enables integration, correlation and analysis of data pertaining to different domains and scales in a single data structure.
Keywords: photogrammetry; thermography; point cloud; geospatial analysis; composite voxel model; environmental performance; terraced vineyards photogrammetry; thermography; point cloud; geospatial analysis; composite voxel model; environmental performance; terraced vineyards
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MDPI and ACS Style

Tyc, J.; Sunguroğlu Hensel, D.; Parisi, E.I.; Tucci, G.; Hensel, M.U. Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy. Remote Sens. 2021, 13, 3483. https://doi.org/10.3390/rs13173483

AMA Style

Tyc J, Sunguroğlu Hensel D, Parisi EI, Tucci G, Hensel MU. Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy. Remote Sensing. 2021; 13(17):3483. https://doi.org/10.3390/rs13173483

Chicago/Turabian Style

Tyc, Jakub, Defne Sunguroğlu Hensel, Erica Isabella Parisi, Grazia Tucci, and Michael Ulrich Hensel. 2021. "Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy" Remote Sensing 13, no. 17: 3483. https://doi.org/10.3390/rs13173483

APA Style

Tyc, J., Sunguroğlu Hensel, D., Parisi, E. I., Tucci, G., & Hensel, M. U. (2021). Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy. Remote Sensing, 13(17), 3483. https://doi.org/10.3390/rs13173483

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