Literature DB >> 28842836

On the use of dorsiventral reflectance asymmetry of hornbeam (Carpinus betulus L.) leaves in air pollution estimation.

Melanka Brackx1, Jolien Verhelst2, Paul Scheunders3, Roeland Samson2.   

Abstract

This study examines the role of dorsiventral leaf measurements in reflectance-based air quality estimation. The dorsiventral asymmetry is used to describe the difference between the upper (adaxial) and lower (abaxial) leaf side. Spectral characteristics of dorsiventral asymmetry and both adaxial and abaxial leaf reflectance are investigated for a typical dicotyledonous species Carpinus betulus used in an urban environment. The link with traffic-related air pollution is established and the potential for monitoring of air quality is evaluated. We conclude that dorsiventral reflectance asymmetry is a factor that should not be ignored in canopy measurements and modeling. On the other hand, the benefits of dorsiventral asymmetry indices as a tool for reflectance-based air quality seem limited.

Entities:  

Keywords:  Air pollution; Asymmetry; Dorsiventral leaf; Plants; Spectral reflectance; Spectroscopy; Urban environment

Mesh:

Year:  2017        PMID: 28842836     DOI: 10.1007/s10661-017-6168-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  12 in total

1.  Estimating near-infrared leaf reflectance from leaf structural characteristics.

Authors:  M R Slaton; E Raymond Hunt; W K Smith
Journal:  Am J Bot       Date:  2001-02       Impact factor: 3.844

2.  Dorsi-ventral leaf reflectance properties of Carpinus betulus L.: an indicator of urban habitat quality.

Authors:  A R Khavanin Zadeh; F Veroustraete; K Wuyts; F Kardel; R Samson
Journal:  Environ Pollut       Date:  2011-12-20       Impact factor: 8.071

3.  Reflectance spectroscopy is an effective tool for monitoring soot pollution in an urban suburb.

Authors:  H Saaroni; A Chudnovsky; E Ben-Dor
Journal:  Sci Total Environ       Date:  2009-11-26       Impact factor: 7.963

4.  The research of air pollution based on spectral features in leaf surface of Ficus microcarpa in Guangzhou, China.

Authors:  Jie Wang; Ruisong Xu; Yueliang Ma; Li Miao; Rui Cai; Yu Chen
Journal:  Environ Monit Assess       Date:  2007-10-11       Impact factor: 2.513

5.  Mapping dustfall distribution in urban areas using remote sensing and ground spectral data.

Authors:  Xing Yan; Wenzhong Shi; Wenji Zhao; Nana Luo
Journal:  Sci Total Environ       Date:  2014-11-26       Impact factor: 7.963

6.  Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia.

Authors:  Shari Van Wittenberghe; Luis Alonso; Jochem Verrelst; Inge Hermans; Jesús Delegido; Frank Veroustraete; Roland Valcke; José Moreno; Roeland Samson
Journal:  Environ Pollut       Date:  2012-11-28       Impact factor: 8.071

7.  Assessing urban habitat quality using spectral characteristics of Tilia leaves.

Authors:  A R Khavanin Zadeh; F Veroustraete; J A N Buytaert; J Dirckx; R Samson
Journal:  Environ Pollut       Date:  2013-03-19       Impact factor: 8.071

8.  On the temporal variation of leaf magnetic parameters: seasonal accumulation of leaf-deposited and leaf-encapsulated particles of a roadside tree crown.

Authors:  Jelle Hofman; Karen Wuyts; Shari Van Wittenberghe; Roeland Samson
Journal:  Sci Total Environ       Date:  2014-07-03       Impact factor: 7.963

9.  On the link between biomagnetic monitoring and leaf-deposited dust load of urban trees: relationships and spatial variability of different particle size fractions.

Authors:  Jelle Hofman; Karen Wuyts; Shari Van Wittenberghe; Melanka Brackx; Roeland Samson
Journal:  Environ Pollut       Date:  2014-03-14       Impact factor: 8.071

10.  Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces.

Authors:  Shan Lu; Xingtong Lu; Wenli Zhao; Yu Liu; Zheyi Wang; Kenji Omasa
Journal:  J Exp Bot       Date:  2015-06-01       Impact factor: 6.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.