Monitoring Mangrove Phenology Based on Gap Filling and Spatiotemporal Fusion: An Optimized Mangrove Phenology Extraction Approach (OMPEA)

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 549 - 549

Published: Feb. 6, 2025

Monitoring mangrove phenology requires frequent, high-resolution remote sensing data, yet satellite imagery often suffers from coarse resolution and cloud interference. Traditional methods, such as denoising spatiotemporal fusion, faced limitations: algorithms usually enhance temporal without improving spatial quality, while fusion models struggle with prolonged data gaps heavy noise. This study proposes an optimized extraction approach (OMPEA), which integrates Landsat MODIS a algorithm (e.g., Gap Filling Savitzky–Golay filtering, GF–SG) model Enhanced Spatial Temporal Adaptive Reflectance Fusion Model, ESTARFM). The key of OMPEA is that GF–SG filled cover transit gaps, providing high-quality input to ESTARFM its accuracy NDVI reconstruction in extraction. By conducting experiments on the GEE platform, generates 1-day, 30 m imagery, phenological parameters (i.e., start (SoS), end (EoS), length (LoS), peak (PoS) growing season) are derived using maximum separation (MS) method. Validation four areas along coastal China shows significantly improves potential capture presence incomplete data. increased usable adding 7–33 images 318–415 per region. generated series exhibits strong consistency original (R2: 0.788–0.998, RMSE: 0.007–0.253) revealed earlier SoS longer LoS at lower latitudes. Cross-correlation analysis showed 2–3 month lagged effects temperature mangroves’ growth, precipitation having minimal impact. proposed possibility capturing under non-continuous low-resolution valuable insights for large-scale long-term conservation management.

Language: Английский

A review of mangrove degradation assessment using remote sensing: advances, challenges, and opportunities

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: April 14, 2025

Language: Английский

Streamlined multilayer perceptron for contaminated time series reconstruction: A case study in coastal zones of southern China

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 221, P. 193 - 209

Published: Feb. 12, 2025

Language: Английский