Wang et al. (2025) Coupling Machine Learning and Detrended Cumulative Drought Index for Lake-Area Prediction
Identification
- Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Year: 2025
- Date: 2025-12-19
- Authors: Lei Wang, Shaohang Xu, Zailin Huo, Zia Ahmed, Brian Alan Johnson, Ngai Weng Chan
- DOI: 10.1109/jstars.2025.3633500
Research Groups
N/A
Short Summary
This paper proposes a method for predicting lake area by integrating machine learning techniques with a detrended cumulative drought index.
Objective
- To develop and evaluate a coupled machine learning and detrended cumulative drought index approach for accurate lake-area prediction.
Study Configuration
- Spatial Scale: N/A
- Temporal Scale: N/A
Methodology and Data
- Models used: Machine Learning (general), Detrended Cumulative Drought Index
- Data sources: N/A
Main Results
N/A
Contributions
N/A
Funding
N/A
Citation
@article{Wang2025Coupling,
author = {Wang, Lei and Xu, Shaohang and Huo, Zailin and Zhang, Fei and Ahmed, Zia and Johnson, Brian Alan and Chan, Ngai Weng},
title = {Coupling Machine Learning and Detrended Cumulative Drought Index for Lake-Area Prediction},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year = {2025},
doi = {10.1109/jstars.2025.3633500},
url = {https://doi.org/10.1109/jstars.2025.3633500}
}
Original Source: https://doi.org/10.1109/jstars.2025.3633500