Dec 24, 2022 · The results from this study lay the groundwork for future use and implementation of NEON data by determining the best models, variables, and ...
Dec 13, 2022 · Optimal model hyperparameters and potential limitations of the NEON dataset for classifying woody plants in dryland regions were also identified ...
Detecting Woody Plants in Southern Arizona Using Data from the National Ecological Observatory Network (NEON) · Thomas Hutsler, N. Pricope, +1 author. Monica T.
Detecting Woody Plants in Southern Arizona Using Data from the National Ecological Observatory Network (NEON). Academic Article.
The paper presents an object-based method to estimate the fraction of woody plant in drylands using remote sensing imagery (LiDAR) and in situ data. Different ...
Detecting Woody Plants in Southern Arizona Using Data from the National Ecological Observatory Network (NEON). https://doi.org/10.3390/rs15010098 ·. Journal ...
Detecting Woody Plants in Southern Arizona Using Data from the National Ecological Observatory Network (NEON): Land cover changes and conversions are ...
Dec 24, 2022 · Detecting Woody Plants in Southern Arizona Using Data from the National Ecological Observatory Network (NEON). mdpi.com. 33 ...
Vegetation structure data are collected at all NEON terrestrial sites at which woody or non-woody perennial individuals meet presence or percent cover criteria ...
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Plant diversity sampling at SRER is measured twice annually around peak flowering. Plant species composition, presence and abundance data, and estimates of ...