Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data

Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data

Soil organic carbon (SOC) is an essential component for plant growth and a pivotal factor in the global carbon cycle. <italic>Spartina alterniflora</italic> (<italic>S. alterniflora</italic>), an invasive species characterized by high primary productivity and rapid carbon seq...

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Bibliographic Details
Main Authors: Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Extreme gradient boosting
machine learning
random forest (RF)
soil organic carbon content
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Spartina alterniflora</italic>
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/10854657/
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