Li et al. (2025) Estimating and Mapping Aboveground Biomass of Vegetation in Typical Lake Flooding Wetland Based on MODIS and Landsat Images Fusion

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Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-11-18
• Authors: Xianghu Li, Yaling Lin, Z. Z. Lv, Yuanyuan Song, Xing Huang
• DOI: 10.3390/rs17223754

Research Groups

Not available from the provided text.

Short Summary

This study simulated aboveground biomass (AGB) of multi-community wetland plants in Poyang Lake using long-term high-resolution NDVI data, revealing spatial distribution patterns and their strong relationship with wetland surface elevation and water level dynamics.

Objective

• To simulate the aboveground biomass (AGB) of multi-community wetland plants in Poyang Lake (PYL) using long-term high-resolution NDVI data.
• To analyze the spatial distribution of AGB for different wetland plants and their relationships with wetland surface elevation.

Study Configuration

• Spatial Scale: Poyang Lake (PYL) wetland.
• Temporal Scale: Long-term (2001–2020), seasonal (spring growth period, June to August).

Methodology and Data

• Models used: Cubic polynomial regression model (for AGB-NDVI relationship).
• Data sources: Long-term high-resolution (30 m, 8 d) Normalized Difference Vegetation Index (NDVI) fused from MODIS and Landsat images.

Main Results

• The cubic polynomial regression model best described the AGB-NDVI relationship, achieving an R² of 0.83 for fitting data, a Root Mean Square Error (RMSE) of 51.8 g/m², and a prediction accuracy (G) of 71.7% for validation data.
• Maximum AGB during the spring growth period reached 1352 g/m² for Carex cinerascens and 1529 g/m² for Phragmites australis-Triarrhena lutarioriparia communities.
• The Polygonum hydropiper-Phalaris arundinacea community exhibited the lowest total AGB from June to August due to Poyang Lake's flooding.
• AGB of Carex cinerascens and Polygonum hydropiper-Phalaris arundinacea communities showed increasing trends between 2001 and 2020.
• Spatially, Southern and Western areas had the largest average AGB (1340 g/m² and 1283 g/m², respectively), while the Northern lake area had the lowest.
• Over 78% of the total vegetation AGB was distributed in areas with elevations of 11.0–15.0 m, accounting for total AGB values up to 332.7–376.3 × 10⁷ kg.
• Changes in water level and the timing of soil exposure in Poyang Lake were identified as dominant factors influencing the spatiotemporal patterns of wetland vegetation AGB.

Contributions

• Developed and validated a robust cubic polynomial regression model for AGB estimation in multi-community wetland environments using fused satellite imagery.
• Provided a detailed long-term (2001–2020) spatiotemporal analysis of AGB distribution in Poyang Lake, highlighting community-specific trends and spatial hotspots.
• Quantified the significant influence of wetland surface elevation, water level changes, and soil exposure timing on wetland vegetation AGB patterns.

Funding

Not available from the provided text.

Citation

@article{Li2025Estimating,
  author = {Li, Xianghu and Lin, Yaling and Lv, Z. Z. and Song, Yuanyuan and Huang, Xing},
  title = {Estimating and Mapping Aboveground Biomass of Vegetation in Typical Lake Flooding Wetland Based on MODIS and Landsat Images Fusion},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17223754},
  url = {https://doi.org/10.3390/rs17223754}
}