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[HTML][HTML] A machine learning approach for classifying bird and insect radar echoes with S-band polarimetric weather radar
Abstract The S-band WSR-88D is sensitive enough to observe biological scatterers like
birds and insects. However, their nonspherical shapes and frequent collocation in the radar …
birds and insects. However, their nonspherical shapes and frequent collocation in the radar …
Extracting Bird and Insect Migration Echoes from Single-polarization Weather Radar Data Using Semi-Supervised Learning
Weather radar serves as a crucial tool for monitoring aeroecology by enabling the
observation of migrating birds and insects. Although dual-polarization weather radar offers …
observation of migrating birds and insects. Although dual-polarization weather radar offers …
Quantifying long‐term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar
Organisms have been shifting their timing of life history events (phenology) in response to
changes in the emergence of resources induced by climate change. Yet understanding …
changes in the emergence of resources induced by climate change. Yet understanding …
Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes
In this study, we combined a machine learning pipeline and human supervision to identify
and label swallow and martin roost locations on data captured from 2000 to 2020 by 12 …
and label swallow and martin roost locations on data captured from 2000 to 2020 by 12 …
Using spatiotemporal information in weather radar data to detect and track communal roosts
The exodus of flying animals from their roosting locations is often visible as expanding ring‐
shaped patterns in weather radar data. The NEXRAD network, for example, archives more …
shaped patterns in weather radar data. The NEXRAD network, for example, archives more …
Domain adaptors for hyperspectral images
We consider the problem of adapting a network trained on three-channel color images to
hyperspectral images with a large number of channels. We propose domain adaptors that …
hyperspectral images with a large number of channels. We propose domain adaptors that …
Superpixel-based Weak Biological Feature Echo Extraction Method for Weather Radar
Accurately extracting biological echoes is a fundamental prerequisite for weather radar
aeroecology monitoring. However, the concurrent presence of meteorological echoes and …
aeroecology monitoring. However, the concurrent presence of meteorological echoes and …
Extracting Diurnal Activity Patterns of Birds in Communal Roosts from Polarimetric Weather Radar Data
Communal roosts are essential stopover sites for migratory birds. Monitoring the diurnal
activity patterns of birds in communal roosts (DAPBCRs) is crucial for understanding their …
activity patterns of birds in communal roosts (DAPBCRs) is crucial for understanding their …
Detecting birds and insects in the atmosphere using machine learning on NEXRAD radar echoes
NEXRAD radars detect biological scatterers in the atmosphere, ie, birds and insects, without
distinguishing between them. A method is proposed to discriminate these bird and insect …
distinguishing between them. A method is proposed to discriminate these bird and insect …
Detection of Animal Movement from Weather Radar using Self-Supervised Learning
Detecting flying animals (eg, birds, bats, and insects) using weather radar helps gain
insights into animal movement and migration patterns, aids in management efforts (such as …
insights into animal movement and migration patterns, aids in management efforts (such as …