Habitat Patrol puts the power of satellite imagery in your hands to detect habitat loss in the places you care about.
Latest imagery
Habitat Patrol uses the most recently available data from the European Space Agency’s Sentinel-2 satellite system, provided through the Google Earth Engine. With 10 meter pixel resolution and updates every 5 days, our apps allow you to accurately monitor landscape change for your projects.
Leveraging AI
Automated change detection is powered by machine learning algorithms trained on millions of data points. These models can detect and delineate land clearing in a wide range of habitat types, including desert, forest, grassland, shrubland, and wetland areas. For more information on the change detection algorithms, see: Supporting Habitat Conservation With Automated Change Detection In Google Earth Engine .
Interested in participating in beta testing?
Help us improve Habitat Patrol so it can be more helpful to you!
As a beta tester, you will be able to help us shape the future of our apps. Sign up and choose your level of participation to start helping us push the platform forward. You will also have the option to receive regular email updates about this app and other new features we plan to add in the future.
Coming Soon
Habitat Patrol Alpha-stage development and optimization is underway.
March 30th, 2021
Habitat Patrol is in the Alpha-stage of development, which means it currently provides a rudimentary user flow that enables the viewing of imagery generated by the change detection algorithm. The imagery is generated after choosing two dates in the landscape's history that are of interest, and selecting the area on the landscape to investigate.During the computational portion of the user flow, the app may require one to three minutes to process the imagery data. Given the app's unoptimized state, we ask app users to have patience while computations are being performed.If you are having trouble receiving or understanding the output from the app, please contact us using the contact form and someone from the development team will get back to you to help.
Timeline
Deployment of a change detection app
2021
We are be performing under-the-hood improvements of HP in order to improve the change-detection processing time and accuracy. This will enable landscape conservationists to produce the analyses they need more quickly, and over larger areas of interest. The planned technology improvements include updating the statistical models, currently used in the algorithm, to AI-based neural network models.
Deployment of a change detection app
January, 2020
The CCI Tech Team has implemented this change-detection technology in the form of a web app to make the analysis process publicly available. The app, called Habitat Patrol or HP, uses enabling technologies such as Leaflet and Google Earth Engine to transform the algorithm into a user application.
Evaluating how landscapes change
2018
Dr. Michael Evans has developed a "change-detection" algorithm to supply the USFWS with crucial data to inform the Section 4 ESA Listing Process for the Lesser Prairie Chicken. This algorithm is used to analyze satellite data taken on different dates, and compares the imagery data to detect habitat loss over time.