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Multi-scale temporal characters mining for bird activities based on historical avian radar system datasets

Published online by Cambridge University Press:  01 February 2023

Q. Xu ,
J. Liu Open the ORCID record for J. Liu [Opens in a new window] ,
M. Su  and
W.S. Chen Open the ORCID record for W.S. Chen [Opens in a new window]
Q. Xu
Affiliation:
Research Institute of Civil Aviation Law, Regulation and Standardization, China Academy of Civil Aviation Science and Technology, Beijing, China
J. Liu*
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing, China
M. Su
Affiliation:
Guangxi Normal University, Guilin, China
W.S. Chen
Affiliation:
China Academy of Civil Aviation Science and Technology, Beijing, China
*
*Corresponding author. Email: bobmp5@163.com
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Abstract

Avian radar systems are effective for wide-area bird detection and tracking, but application significances need further exploration. Existing radar data mining methods provide long-term functionalities, but they are problematic for bird activity modelling especially in temporal domain. This paper complements this insufficiency by introducing a temporal bird activity extraction and interpretation method. The bird behaviour is quantified as the activity degree which integrates intensity and uncertainty characters with an entropy weighing algorithm. The method is applicable in multiple temporal scales. Historical radar dataset from a system deployed in an airport is adopted for verification. Temporal characters demonstrate good consistency with understandings from local observers and ornithologists. Daily commuting and roosting characters of local birds are well reflected, evening bat activities are also extracted. Night migration activities are demonstrated clearly. Results indicate the proposed method is effective in temporal bird activity modelling and interpretation. Its integration with bird strike risk models might be more useful for airport safety management with wildlife interference.

Keywords

Bird strikeRemote sensingData miningAviation safetyWildlife management
Type
Research Article
Information
The Aeronautical Journal , Volume 127 , Issue 1314 , August 2023 , pp. 1452 - 1472
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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