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A low-tech but reliable method to estimate site specific flight speed for collision risk modelling
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A low-tech but reliable method to estimate site specific flight speed for collision risk modelling

Jill Shephard, T Sonia, Trish Fleming, Kristin Warren and Fiona Scarff
Ecological Applications -Methods
Shephard, JM
2026
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Shephard_flightSpeed_suppMat177.32 kBDownloadView
Open Access CC BY V4.0

Abstract

green energy wind turbine strike birds flight speed flight dynamics Collision risk modelling, CRM Wildlife and habitat management Conservation and biodiversity Ecological applications not elsewhere classified
This script downloads hourly 10-metre wind data from the ERA5 Land data set, using Google Earth Engine. It must be provided with a csv file containing columns 'latitude', 'longitude' (in the coordinate reference system epsg:4326, i.e. WGS84), 'utc' (a datetime stamp in the UTC time zone) and 'rounded_utc' (rounded to the beginning of the hour plus one second). The user will need a Google Earth Engine account, and to have created a Project in Earth Engine. To do that, you will also need an account with Google Cloud Project. The script assumes you have a Google Drive account, which is where the output is exported to, but there may be other ways to export it. Written for analysis of flying speeds in Carnaby's Cockatoo. Apart from the first line, which is a Bash shell command, the script language is Python, together with some syntax specific to the Earth Engine API. The entire script can be run in Google Colab. Run the first line just once. It installs the Google Earth Engine API in your Python environment. However, if you switch to use a different Python environment you'll need to run it again to install the package there.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy
#11 Sustainable Cities and Communities
#13 Climate Action
#15 Life on Land

Source: SDGs in the Output

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