.png){kind=icon}
.png){kind=icon}
Return
Improving terrestrial net primary productivity estimation through process-consistent FPAR retrieval from multi-source remote sensing data
.png){kind=icon}
OA
AI
H
L
L
DOI：10.1016/j.jag.2026.105298.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Process-consistent FPAR dataset reconstructed from FLUXNET observations. • FAMA-Net integrates multi-source variables for FPAR retrieval. • FAMA-Net mitigates NDVI saturation and improves FPAR estimation. • Improved FPAR enhances CASA-based NPP simulations accuracy. • SHAP reveals how canopy, water, and energy regulate FPAR variability.
Keywords:
Fraction of absorbed photosynthetically active radiation (FPAR)
Net primary productivity (NPP)
CASA model
Multi-source remote sensing
FLUXNET
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8.6
Papers:
5.1K
Citations:
2.4W
Organization
Cited Papers