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2D/3D SOIL CONSUMPTION TRACKING IN A MARBLE QUARRY DISTRICT

Authors :
Licciardello, C.
Marco, A.
Biagini, S.
Palazzuoli, D.
Tayeh, K.
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :259-264
Publication Year :
2022
Publisher :
Copernicus GmbH, 2022.

Abstract

Complex extractive districts, such as the marble quarries in the Apuan Alps (northern Italy), require soil consumption monitoring over the years that could be achieved through high-resolution remotely sensed data. To derive 2D and 3D indicators with appropriate resolution for annual monitoring of high-resolution changes in soil consumption, aerial images, LiDAR acquisitions, satellite data, and Remotely Piloted Aircraft Systems (RPAS) acquisitions were used. In particular, open-access Sentinel-2 multispectral satellite imagery with a spatial resolution of 10 m was used to assess cover changes (2D), and then refined by manual interpretation for 5 years (2016-2021). 3D changes were detected by comparing free aerial LiDAR data from 2009 and 2017, integrated with two stereo models obtained from Pléiades high-resolution satellite images from 2020 and 2022. 3D changes observed over the years by algebraic elevation comparison, performed in QGIS 3.x environment, highlight quarries characterized by intense mining activities (extracted marble blocks, characterized by positive elevation differences) and quarry area management (debris disposal and service infrastructure construction, characterized by negative elevation differences). The combined use of 2D and 3D change indicators can be challenging in order to correctly represent soil consumption over the years. A dual 2D/3D webgis client have been developed for proper representation of 2D/3D spatial indicators of ongoing extraction activities in the Carrara marble basin: high-resolution images have been served as tiled data, while 2D/3D spatial indicators are served as static and/or tiled vector data. Open-Source libraries have used in data processing, serving and representation inside a map interface.

Details

ISSN :
21949034
Database :
OpenAIRE
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Accession number :
edsair.doi.dedup.....f297d4c81abe0e7bc927a5cd3b091aea
Full Text :
https://doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-259-2022