Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/45278
Title: RF Loss Model for Tree Canopies with Varying Water Content
Contributor(s): Peden, Sonam  (author); Bradbury, Ronald C  (author)orcid ; Lamb, David William  (author)orcid ; Hedley, Mark (author)
Publication Date: 2021-06-30
Open Access: Yes
DOI: 10.4236/jemaa.2021.136006
Handle Link: https://hdl.handle.net/1959.11/45278
Abstract: 

Detection of plant water status is important for monitoring plant physiology. Previous studies showed that radio waves are attenuated when passing through vegetation such as trees, and models (both empirical and analytical) were developed. However, for models to be more broadly applicable across a broad range of vegetation types and constructs, basic electrical properties of the vegetation need to be characterised. In our previous work, a model was developed to calculate the RF loss through vegetation with varying water content. In this paper, the model was extended to calculate RF loss through tree canopies with or without an air gap. When the model was compared with the actual RF loss acquired using Eucalyptus blakelyi trees (with and without leaves), there was a systematic offset equivalent to a residual moisture content of 13% that was attributed to bound water. When the model was adjusted for the additional water content, the effective water path (EWP) was found to explain 72% of the variance in the measured RF loss.

Publication Type: Journal Article
Source of Publication: Journal of Electromagnetic Analysis and Applications, 13(6), p. 83-101
Publisher: Scientific Research Publishing, Inc
Place of Publication: United States of America
ISSN: 1942-0749
1942-0730
Fields of Research (FoR) 2020: 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)
300710 Tree nutrition and physiology
510399 Classical physics not elsewhere classified
Socio-Economic Objective (SEO) 2020: 260104 Management of water consumption by plant production
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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