Name: 2022 Urban Trees

Display Field: lon

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Description: This dataset of tree points in urban areas of Los Angeles County was created using imagery from 2020 by a team of researchers at the Urban Forest Ecosystems Institute at Cal Poly (UFEI). This map is based on NAIP imagery from 2020, processed by a convolutional neural network (CNN) which learned to detect trees from a collection of hand-annotated samples. The CNN takes NAIP imagery as input and outputs a confidence map indicating the locations of trees. The individual tree locations are found by local peak finding.Find more information about how these points were populated here: https://www.sciencedirect.com/science/article/pii/S1569843224002024Find more information about UFEI here: https://ufei.calpoly.edu/This project was funded by CAL FIRE (award number: 8GB18415) the US Forest Service (award number: 21-CS-11052021-201)

Copyright Text: J. Ventura, C. Pawlak, M. Honsberger, C. Gonsalves, J. Rice, N.L.R. Love, S. Han, V. Nguyen, K. Sugano, J. Doremus, G.A. Fricker, J. Yost, and M. Ritter. "Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery." International Journal of Applied Earth Observation and Geoinformation 2024.

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Spatial Reference: 104024 (104024)

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Templates:

Name: 2022 Urban Trees
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Last Edit Date: 6/9/2025 10:34:32 PM

Schema Last Edit Date: 6/9/2025 10:34:32 PM

Data Last Edit Date: 6/9/2025 10:34:32 PM

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