Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery

2016 ◽  
Author(s):  
Aruni Roy Chowdhury ◽  
Daniel Sheldon ◽  
Subhransu Maji ◽  
Erik Learned-Miller
Keyword(s):  
Bird Migration ◽  
Migration Patterns ◽  
Radar Imagery

scholarly journals Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task

2020 ◽  
Author(s):  
Kehinde Owoeye
Keyword(s):  
Bird Migration ◽  
Satellite Telemetry ◽  
Biodiversity Loss ◽  
Critical Infrastructures ◽  
Cathartes Aura ◽  
Migration Patterns ◽  
Building Models ◽  
High Tension ◽  
Avian Biodiversity ◽  
Better Than

Early forecasting of bird migration patterns has important application for example in reducing avian biodiversity loss. An estimated 100 million to 1 billion birds are known to die yearly during migration due to fatal collisions with human made infrastructures such as buildings, high tension lines, wind turbines and aircrafts thus raising a huge concern for conservationists. Building models that can forecast accurate migration patterns is therefore important to enable the optimal management of these critical infrastructures with the sole aim of reducing biodiversity loss. While previous works have largely focused on the task of forecasting migration intensities and the onset of just one migration state, predicting several migration states at even finer granularity is more useful towards optimally managing the infrastructures that causes these deaths. In this work, we consider the task of forecasting migration patterns of the popular Turkey Vulture (Cathartes aura) collected with the aid of satellite telemetry for multiple years at a resolution of one hour. We use a deep Bidirectional-GRU recurrent neural network augmented with an auxiliary task where the state information of one layer is used to initialise the other. Empirical results on a variety of experiments with our approach show we can accurately forecast migration up to one week in advance performing better than a variety of baselines.

Changes in bird-migration patterns associated with human-induced mortality

2016 ◽  
Vol 31 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Carlos Palacín ◽  
Juan C. Alonso ◽  
Carlos A. Martín ◽  
Javier A. Alonso
Keyword(s):  
Bird Migration ◽  
Migration Patterns

scholarly journals Bird migration patterns in the arid southwest-Final report

2010 ◽  
Author(s):  
Janet M. Ruth ◽  
Rodney K. Felix ◽  
Robert H. Dieh
Keyword(s):  
Bird Migration ◽  
Final Report ◽  
Migration Patterns ◽  
Arid Southwest

scholarly journals Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

2009 ◽  
Vol 4 (1) ◽  
pp. 65 ◽  
Author(s):  
Yali Si ◽  
Andrew K. Skidmore ◽  
Tiejun Wang ◽  
Willem F. De Boer ◽  
Pravesh Debba ◽  
...  
Keyword(s):  
Bird Migration ◽  
Temporal Dynamics ◽  
Migration Patterns ◽  
Spatio Temporal

scholarly journals High-Resolution Spatial Distribution of Bird Movements Estimated from a Weather Radar Network

2020 ◽  
Vol 12 (4) ◽  
pp. 635 ◽  
Author(s):  
Bart Kranstauber ◽  
Willem Bouten ◽  
Hidde Leijnse ◽  
Berend-Christiaan Wijers ◽  
Liesbeth Verlinden ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Scales ◽  
Regional Scale ◽  
Habitat Associations ◽  
Fine Scale ◽  
Migration Patterns ◽  
Spatial Image ◽  
Weather Radars ◽  
Spatial Coverage ◽  
Radar Imagery

Weather radars provide detailed information on aerial movements of organisms. However, interpreting fine-scale radar imagery remains challenging because of changes in aerial sampling altitude with distance from the radar. Fine-scale radar imagery has primarily been used to assess mass exodus at sunset to study stopover habitat associations. Here, we present a method that enables a more intuitive integration of information across elevation scans projected in a two-dimensional spatial image of fine-scale radar reflectivity. We applied this method on nights of intense bird migration to demonstrate how the spatial distribution of migrants can be explored at finer spatial scales and across multiple radars during the higher flying en-route phase of migration. The resulting reflectivity maps enable explorative analysis of factors influencing their regional and fine-scale distribution. We illustrate the method’s application by generating time-series of composites of up to 20 radars, achieving a nearly complete spatial coverage of a large part of Northwest Europe. These visualizations are highly useful in interpreting regional-scale migration patterns and provide detailed information on bird movements in the landscape and aerial environment.

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