A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth Engine platform
Monitoring changes in carbon stocks through forest biomass assessment is essential for understanding the carbon cycle. However, acquiring timely and reliable ground measurements poses challenges in creating spatially continuous maps of forests aboveground biomass density (AGB). This study presents a...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | Ecological Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125000615 |