Mapping the invasive Spartina alterniflora in sub-meter level with improved phenological spectral features and deep learning method

Mapping the invasive Spartina alterniflora in sub-meter level with improved phenological spectral features and deep learning method

The invasion of Spartina alterniflora (S. alterniflora) has severely impacted China’s coastal ecosystems by disrupting native habitats and polluting waters, highlighting the necessity for accurate distribution mapping. Existing studies mainly rely on moderate-resolution remote sensing imagery, like...

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Bibliographic Details
Main Authors: Bingfeng Zhou, Meng Xu, Jinyan Tian, Yue Huang, Jie Song, Lin Zhu, Xiumin Zhu, Xinyuan Qu, Liyan Zhang, Xiaojuan Li, Huili Gong
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Spartina alterniflora
Invasive species
Sub-meter mapping
Phenology
Deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2024.2434634
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