Article: Integration of Aerobiological Information for Construction Engineering Based on LiDAR and BIM
Remote Sensing. 2022 Jan. 27, v. 14, no. 3
2022
Abstract: In green urban areas, the allergenic factor is important when selecting trees to improve the quality of life of the population. An application of laser imaging detection and ranging (LiDAR) in building information modelling (BIM) is the capture of geo- ... ...
Abstract | In green urban areas, the allergenic factor is important when selecting trees to improve the quality of life of the population. An application of laser imaging detection and ranging (LiDAR) in building information modelling (BIM) is the capture of geo-referenced geometric information of the environment. This study presents the process of digitalisation of a green infrastructure inventory based on the geolocation and bioparameters of the cypress species. The aerobiological index (IUGZA) was estimated by developing green infrastructure BIM models at different detail levels and with a new BIM dimension (6D) for the urban environment. The novelty of the study is the modelling of urban information for evaluating the potential environmental impact related to the allergenicity of the urban green infrastructure using LiDAR through BIM. The measurements of cypress trees based on bioparameters and distances were applied to the IUGZA. This innovation for describing the current 3D environments and designing new scenarios in 6D may prevent future problems in urban areas during construction projects. |
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Keywords | allergenicity ; environmental impact ; geometry ; georeferencing ; green infrastructure ; inventories ; lidar ; quality of life ; urban areas |
Language | English |
Dates of publication | 2022-0127 |
Publishing place | Multidisciplinary Digital Publishing Institute |
Document type | Article |
ZDB-ID | 2513863-7 |
ISSN | 2072-4292 |
ISSN | 2072-4292 |
DOI | 10.3390/rs14030618 |
Database | NAL-Catalogue (AGRICOLA) |
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