DeepAI AI Chat
Log In Sign Up

Detecting and Tracking Communal Bird Roosts in Weather Radar Data

04/24/2020
by   Zezhou Cheng, et al.
University of Massachusetts Amherst
cornell university
University of Washington
14

The US weather radar archive holds detailed information about biological phenomena in the atmosphere over the last 20 years. Communally roosting birds congregate in large numbers at nighttime roosting locations, and their morning exodus from the roost is often visible as a distinctive pattern in radar images. This paper describes a machine learning system to detect and track roost signatures in weather radar data. A significant challenge is that labels were collected opportunistically from previous research studies and there are systematic differences in labeling style. We contribute a latent variable model and EM algorithm to learn a detection model together with models of labeling styles for individual annotators. By properly accounting for these variations we learn a significantly more accurate detector. The resulting system detects previously unknown roosting locations and provides comprehensive spatio-temporal data about roosts across the US. This data will provide biologists important information about the poorly understood phenomena of broad-scale habitat use and movements of communally roosting birds during the non-breeding season.

READ FULL TEXT

page 2

page 4

page 7

11/30/2021

Synthetic weather radar using hybrid quantum-classical machine learning

The availability of high-resolution weather radar images underpins effec...
04/25/2014

Improving weather radar by fusion and classification

In air traffic management (ATM) all necessary operations (tactical plani...
11/08/2022

Physics-informed inference of aerial animal movements from weather radar data

Studying animal movements is essential for effective wildlife conservati...
12/21/2022

A recurrent CNN for online object detection on raw radar frames

Automotive radar sensors provide valuable information for advanced drivi...
10/20/2022

Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data

Recently, many deep-learning techniques have been applied to various wea...
07/01/2019

Short-term prediction of Electricity Outages Caused by Convective Storms

Prediction of power outages caused by convective storms which are highly...
10/01/2019

MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive

The use of analogs - similar weather patterns - for weather forecasting ...