Datasets

creator: Songlin Fei, 0000-0003-2772-0166

Total is 24 Results
Spring and autumn phenology data from a northern red oak (Quercus rubra) common garden in West Lafayette, IN from 2013-2020.

10.4231/C2WH-Y183

Jeffrey S Dukes ORCID logo , Jonathan Knott , Liang Liang , Robert Swihart ORCID logo , Songlin Fei ORCID logo

06/13/2022

The files in this repository contain autumn and spring phenology data from a northern red oak (Quercus rubra) common garden at Martell Forest, West Lafayette, IN.

common garden diameter Forestry and Natural Resources northern red oak oak phenology provenance test Quercus rubra

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

Invasive Species Identification from High-resolution 4-band Multispectral Imagery - Data

10.4231/QNEQ-WG69

Bina Thapa ORCID logo , Cameron Wingren ORCID logo , Christopher Ardohain ORCID logo , Songlin Fei ORCID logo

07/02/2024

Data associated with invasive species (Callery Pear) identification in the greater New York City metropolitan area.

Convolutional neural network Deep learning Callery pear Negative training data Tree phenology

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