Next Article in Journal
Full Lifecycle Monitoring on Drought-Converted Catastrophic Flood Using Sentinel-1 SAR: A Case Study of Poyang Lake Region during Summer 2020
Previous Article in Journal
DGANet: A Dilated Graph Attention-Based Network for Local Feature Extraction on 3D Point Clouds
 
 
Article

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

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.
Academic Editor: Lin Cao
Remote Sens. 2021, 13(17), 3483; https://doi.org/10.3390/rs13173483
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)
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. View Full-Text
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
Show Figures

Graphical abstract

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

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop