Integrating data from unmanned aerial vehicles and Sentinel-2 with PROSAIL-5D-driven machine learning for fuel moisture content estimation in agroecosystems
Fuel moisture content (FMC) is a critical ecological indicator for evaluating vegetation water status and ecosystem resilience, particularly in agricultural ecosystems. This study presents an advanced framework integrating multi-source remote sensing data fusion, physically based modeling, and machi...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-11-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S157495412500398X |
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