From Remote Sensing to Decision Support System for Industrial Quarry Basins

被引：0

作者：

Licciardello, Cinzia ^{[1
]}

Di Marco, Antonio ^{[1
]}

Biagini, Stefania ^{[1
]}

Tayeh, Khalil ^{[1
]}

Palazzuoli, Diego ^{[1
]}

机构：

[1] ARPAT, Via Nicola Porpora 22, I-50144 Florence, Italy

来源：

GEOMATICS AND GEOSPATIAL TECHNOLOGIES, ASITA 2021 | 2022年 / 1507卷

关键词：

ENERGY;

D O I：

10.1007/978-3-030-94426-1_28

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Remote Sensing data and techniques play a great role in quarry and mining activity monitoring: UAVs, aerials and terrestrials LiDAR and optical sensors are widely used in quarry management in evaluating extraction phases and compliancy to working stages. Environmental management of large quarry areas requires not only precise 3D data to assess yearly volume changes, but also availability of datasets useful in monitoring compliancy to natural soil consumption previsions and water/extraction waste management rules issued by public authorities. Integration of both remotely sensed and environmental information systems' data is required to define waste production indicators related to extraction activities. A novel set of indicators over Carrara extractive basin has been proposed by integrating surface and volume changes over the years with production and waste management data: the proposed indicators have been evaluated over all active quarry located in Carrara extraction basin. The indicators, integrated in a Decision Support System (DSS), can be used to classify all quarries by environmental management performances' scores, thus allowing planning of in-situ controls related to water and marble quarry/cutting waste (MQW/MCW) management according to risk management quantitative criteria. Prototyping time-varying data on dynamic maps and 3D navigation interfaces have been proposed to support environmental controls' planners in yearly extraction waste production and land cover changes monitoring.

引用

页码：385 / 404

页数：20

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