Cite as:
Noskov, A.; Bendix, J. &amp; Friess, N. (2021): <b>A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques</b>. <i>Sensors</i> <b>21</b>(4), 1-23.

Resource Description

Title: A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques
FOR816dw ID: 415
Publication Date: 2021-01-01
License and Usage Rights: Creative Commons<br/> Attribution (CC BY) license (
Resource Owner(s):
Individual: Alexey Noskov
Individual: Jörg Bendix
Individual: Nicolas Friess
Drastic declines in insect populations are a vital concern worldwide. Despite widespread insect monitoring, the significant gaps in the literature must be addressed. Future monitoring techniques must be systematic and global. Advanced technologies and computer solutions are needed. We provide here a review of relevant works to show the high potential for solving the aforementioned problems. Major historical and modern methods of insect monitoring are considered. All major radar solutions are carefully reviewed. Insect monitoring with radar is a well established technique, but it is still a fast-growing topic. The paper provides an updated classification of insect radar sets. Three main groups of insect radar solutions are distinguished: scanning, vertical-looking, and harmonic. Pulsed radar sets are utilized for all three groups, while frequency-modulated continuous-wave (FMCW) systems are applied only for vertical-looking and harmonic insect radar solutions. This work proves the high potential of radar entomology based on the growing research interest, along with the emerging novel setups, compact devices, and data processing approaches. The review exposes promising insect monitoring solutions using compact radar instruments. The proposed compact and resource-effective setups can be very beneficial for systematic insect monitoring.
| remote sensing | insect radar | conservation | light trap | FMCW radar | UGV |
Literature type specific fields:
Journal: Sensors
Volume: 21
Issue: 4
Page Range: 1-23
Publisher: MDPI
ISSN: 1424-8220
Metadata Provider:
Individual: Alexey Noskov
Online Distribution:
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