High-density forest AGB estimation in tropical forest integrated with PolInSAR multidimensional features and optimized machine learning algorithms
Accurately estimating the above-ground biomass (AGB) of high-density tropical rainforests is a challenging issue. In this study, airborne multi-baseline PolInSAR data were used to estimate the tropical rainforest AGB in Gabon, Africa. The most suitable baseline combination of the PolInSAR data was i...
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| Principais autores: | , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Elsevier
2024-03-01
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| 叢編: | Ecological Indicators |
| 主題: | |
| 在線閱讀: | http://www.sciencedirect.com/science/article/pii/S1470160X24003352 |
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