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Ornamental Trees Mapping and Airborne Pollen Modelling in Urban Areas Based on GIS and Remote Sensing Techniques

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 3887

Special Issue Editors


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Guest Editor
Center of Allergy and Environment (ZAUM), Technical University Munich, 80802 Munich, Germany
Interests: aerobiology; botany; pollen; GIS; phenological models; R programming

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Guest Editor
Botany, Ecology and Vegetal physiology department, University of Córdoba, 14071 Córdoba, Spain
Interests: aerobiology; botany; pollen; GIS; phenological models; R programming
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Environmental Sciences, University of Castilla-La Mancha, 13001 Ciudad Real, Spain
Interests: aerobiology; botany; pollen; GIS; phenological models; R programming

Special Issue Information

Dear Colleagues,

Although ornamental trees in urban environments are beneficial for people considering psychological, well-being, and aesthetic aspects, they also are a relevant cause of allergy due to the released airborne pollen, which is often overlooked by urban planners. Due to the increasing urban population and because they are simultaneously affected by the exposure to other pollutants, affecting also the allergenicity power for their pollen grains, this number of sensitized people is predicted to increase in the future.

Thus, the evaluation of local factors influencing pollen dispersion, mapping the sources within the cities and possible modeling, can be used to enhance urban air quality and to detect possible non-obvious patterns within this distribution and their effects. These issues should be other elements to consider in green infrastructure design and urban environmental planning. This Special Issue aims to enlighten how GIS and remote sensing techniques can be useful to reach an enhancement in urban air quality by studying aerobiological particles and their emission sources. 

Dr. Jose María Maya Manzano
Dr. Jose Antonio Oteros Moreno
Dr. Jesús Rojo Úbeda
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Aerobiology
  • Botany
  • Ecology
  • Pollen modeling
  • Remote sensing
  • GIS
  • Geo statistics
  • Mapping sources
  • Urban landscape
  • Ornamental trees

Published Papers (1 paper)

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Research

18 pages, 5368 KiB  
Article
Integration of Aerobiological Information for Construction Engineering Based on LiDAR and BIM
by Eva Quevedo-Martínez, Juan Pedro Cortés-Pérez, Juan Francisco Coloma, José Francisco Fernández-Alvarado, Marta García and Santiago Fernández-Rodríguez
Remote Sens. 2022, 14(3), 618; https://0-doi-org.brum.beds.ac.uk/10.3390/rs14030618 - 27 Jan 2022
Cited by 7 | Viewed by 3323
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 [...] Read more.
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. Full article
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