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Deep learning model to detect wind turbines using high resolution imagery. A brief summary of the item is not available. Add a brief summary about the item.

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Item created: Feb 18, 2022 Item updated: Dec 29, 2024 Number of downloads: 7,597

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Description

Wind turbines are an important source of renewable energy. There is a rapid growth in the number of wind turbine installations across the globe. These installations are visible in high resolution aerial imagery. However, it can be tedious to analyze imagery and mark these installations manually. This deep learning model can automate the detection of wind turbines by interpreting high resolution imagery.

Using the model

Follow the guide to use the model. This model requires deep learning libraries to be installed, install them using Deep Learning Libraries Installer for ArcGIS.

Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.

Input
8-bit, 3-band high-resolution (60 cm) imagery.

Output
Feature class containing detected wind turbines.

Applicable geographies
The model is expected to work well across USA and Netherlands.

Model architecture
This model uses the FasterRCNN model architecture implemented in ArcGIS API for Python.

Accuracy metrics
This model has an average precision score of 0.96.

Training data
This model has been trained on an Esri proprietary wind turbines dataset.

Sample results
Here are a few results from the model.


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Terms of Use

https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png This work is licensed under the Esri Master License Agreement.

No special restrictions or limitations on using the item's content have been provided.

Comments (7)

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s1108564_ZGIS Item Owner commented a month ago Delete Reply

super

Gabrieliceberg Item Owner commented 2 months ago Delete Reply

This is nice, but I also want to learn to design the model.

ptuteja_geosaurus Item Owner commented 2 months ago Delete

@Gabrieliceberg Glad to hear from you. The fine-tuning page has details about designing a similar model for your own area of interest.

omendile Item Owner commented 4 months ago Delete Reply

thid is nice but i also want to learn to design the model and all that happens in the arcitecture. When given a pre-trained model eventually u are tempted to want to use it in your specific area of projects.

spathak_deldev Item Owner commented 4 months ago Delete

Hi, you can refer to this sample notebook which shows the whole workflow for training a deep learning model for wind turbine detection: https://developers.arcgis.com/python/latest/samples/training-a-wind-turbine-detection-model-using-large-volume-of-training-data/. Additionally, you can also finetune this pretrained model for your area of interest by refering to the following guide: https://doc.arcgis.com/en/pretrained-models/latest/imagery/finetuning-the-wind-turbine-detection.htm

ovrz1996 Item Owner commented 10 months ago Delete Reply

you can get imagery from USGS

carl.green@dallascityhall.com_DallasGIS Item Owner commented 10 months ago Delete Reply

Where do I download the imagery to test this deep learning model?

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          ID: 0e3f954bffc549429340dde22eb03152

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          energy, wind, turbine, fasterrcnn, object detection, LivingAtlasDLPK, dlpk

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