TREE CANOPY HEIGHT ESTIMATION USING MULTI BASELINE RVOG INVERSION TECHNIQUE

6 citations as recorded by crossref.

1. UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon U. Asopa & S. Kumar https://doi.org/10.1029/2020EA001230
2. High-density forest AGB estimation in tropical forest integrated with PolInSAR multidimensional features and optimized machine learning algorithms H. Luo et al. https://doi.org/10.1016/j.ecolind.2024.111878
3. Fusion method for vegetation height inversion with multibaseline PolInSAR data 成. 邢 et al. https://doi.org/10.1360/SSI-2021-0436
4. Forest Canopy Height Estimation by Integrating Structural Equation Modeling and Multiple Weighted Regression H. Zhu et al. https://doi.org/10.3390/f15020369
5. A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives C. Xing et al. https://doi.org/10.3390/rs15153781
6. Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen H. Song et al. https://doi.org/10.34133/remotesensing.0379