Datasets

creator: Brady Hardiman

Total is 2 Results
Localization of Urban Trees across the USA with Generative AI

10.4231/7AK0-1P48

Adnan Firoze ORCID logo , Akshaj Uppala , Bedrich Benes ORCID logo , Brady Hardiman , Daniel Aliaga , Lindsay Darling , Raymond Yeh , Songlin Fei ORCID logo

12/12/2023

We use deep learning to provide a novel solution to map all trees on both public and private lands across 330 United States (U.S.) cities. This repository contains the dataset and code base.

Computer Science Computer Vision Ecology Pattern Recognition urban forestry urban tree

Structural diversity and ecosystem function

10.4231/N88M-7A62

Brady Hardiman , Elizabeth A Larue ORCID logo , Jessica Elliott , Songlin Fei ORCID logo

10/14/2019

Codes and data for published article: LaRue, EA, BS Hardiman, JM Elliott, S Fei. 2019. Structural diversity as a predictor of ecosystem function. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab49bb

Ecosystem Function Forestry and Natural Resources Invasion Biology LiDAR Macrosystems biology NEON RStudio Structural diversity

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