A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data
Recent and archived data from weather radar networks are extensively used for the quantification of continent-wide bird migration patterns. While the process of discriminating birds from weather signals is well established, insect contamination is still a problem. We present a simple method combinin...
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MDPI AG
2021-05-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/13/10/1989 |
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author | Raphaël Nussbaumer Baptiste Schmid Silke Bauer Felix Liechti |
author_facet | Raphaël Nussbaumer Baptiste Schmid Silke Bauer Felix Liechti |
author_sort | Raphaël Nussbaumer |
collection | DOAJ |
description | Recent and archived data from weather radar networks are extensively used for the quantification of continent-wide bird migration patterns. While the process of discriminating birds from weather signals is well established, insect contamination is still a problem. We present a simple method combining two Doppler radar products within a Gaussian mixture model to estimate the proportions of birds and insects within a single measurement volume, as well as the density and speed of birds and insects. This method can be applied to any existing archives of vertical bird profiles, such as the European Network for the Radar surveillance of Animal Movement repository, with no need to recalculate the huge amount of original polar volume data, which often are not available. |
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format | Article |
id | doaj.art-7259c4348c0648bb86aa4fd893b84745 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T11:15:12Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-7259c4348c0648bb86aa4fd893b847452023-11-21T20:28:19ZengMDPI AGRemote Sensing2072-42922021-05-011310198910.3390/rs13101989A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar DataRaphaël Nussbaumer0Baptiste Schmid1Silke Bauer2Felix Liechti3Swiss Ornithological Institute, 6204 Sempach, SwitzerlandSwiss Ornithological Institute, 6204 Sempach, SwitzerlandSwiss Ornithological Institute, 6204 Sempach, SwitzerlandSwiss Ornithological Institute, 6204 Sempach, SwitzerlandRecent and archived data from weather radar networks are extensively used for the quantification of continent-wide bird migration patterns. While the process of discriminating birds from weather signals is well established, insect contamination is still a problem. We present a simple method combining two Doppler radar products within a Gaussian mixture model to estimate the proportions of birds and insects within a single measurement volume, as well as the density and speed of birds and insects. This method can be applied to any existing archives of vertical bird profiles, such as the European Network for the Radar surveillance of Animal Movement repository, with no need to recalculate the huge amount of original polar volume data, which often are not available.https://www.mdpi.com/2072-4292/13/10/1989migration ecologyclassificationornithologyGaussian mixture modelvertical profileecological modelling |
spellingShingle | Raphaël Nussbaumer Baptiste Schmid Silke Bauer Felix Liechti A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data Remote Sensing migration ecology classification ornithology Gaussian mixture model vertical profile ecological modelling |
title | A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data |
title_full | A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data |
title_fullStr | A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data |
title_full_unstemmed | A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data |
title_short | A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data |
title_sort | gaussian mixture model to separate birds and insects in single polarization weather radar data |
topic | migration ecology classification ornithology Gaussian mixture model vertical profile ecological modelling |
url | https://www.mdpi.com/2072-4292/13/10/1989 |
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