SIMULATION OF LOCALIZATION OF BEAVER BURROWS BY P-BAND SAR TOMOGRAPHY

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Author(s):	Ore, Gian ; Kirk, William ; Thomas, Rick M. ; Hernandez-Figueroa, Hugo E. Total Authors: 4
Document type:	Journal article
Source:	IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; v. N/A, p. 4-pg., 2023-01-01.
Abstract
The presence of beaver burrows, primarily found on riverbanks, poses significant risks due to the increased probability of subsidence, which can have a detrimental impact on infrastructures such as railways, bridges, flood embankments, and footpaths. Currently, identifying these structures is a complex and tedious job because they are natural underground formations, located in hard-to-reach areas. Alternative methods such as remote sensing based on Synthetic Aperture Radar (SAR) systems, offer great promise option for burrow detection. This work presents a set of software-based electromagnetic simulations of radar signals to evaluate the effectiveness of SAR technology to detect different beaver burrow formations. Beaver burrows in bare soil cases with varying dielectric constants were considered, achieving results that encourage us to test the beaver burrow detection with real data from SAR drone-borne survey. (AU)

FAPESP's process:	22/13498-6 - Attribute extraction by drone-borne radar and camera for monitoring power generators, transmission lines and distribution centers
Grantee:	Gian Carlos Oré Huacles
Support Opportunities:	Scholarships in Brazil - Doctorate