Cao et al. (2025) LESMI: Integrating Linear-Exponential Model, Shapelets, and Multirocket for Wetland Vegetation Inundation Monitoring With Time Series SAR

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-30
• Authors: Yuanye Cao, Xiuguo LIU, Yuannan Long, Hui Yang, Shixiong Yan, Qihao Chen
• DOI: 10.1109/jstars.2025.3649200

Research Groups

[Not available in the provided text.]

Short Summary

[Not available in the provided text.]

Objective

• To develop and apply a novel integrated approach (LESMI) for monitoring wetland vegetation inundation using time series Synthetic Aperture Radar (SAR) data.

Study Configuration

• Spatial Scale: [Not available in the provided text.]
• Temporal Scale: [Not available in the provided text, but implied by "Time Series SAR" to be multi-temporal.]

Methodology and Data

• Models used: Linear-Exponential Model, Shapelets, Multirocket (integrated into the LESMI framework).
• Data sources: Time Series Synthetic Aperture Radar (SAR) data.

Main Results

[Not available in the provided text.]

Contributions

[Not available in the provided text.]

Funding

[Not available in the provided text.]

Citation

@article{Cao2025LESMI,
  author = {Cao, Yuanye and LIU, Xiuguo and Long, Yuannan and Yang, Hui and Yan, Shixiong and Chen, Qihao},
  title = {LESMI: Integrating Linear-Exponential Model, Shapelets, and Multirocket for Wetland Vegetation Inundation Monitoring With Time Series SAR},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3649200},
  url = {https://doi.org/10.1109/jstars.2025.3649200}
}