TREE CANOPY HEIGHT ESTIMATION USING MULTI BASELINE RVOG INVERSION TECHNIQUE

8 citations as recorded by crossref.

1. PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India M. Ramya & S. Kumar 10.1016/j.srs.2021.100020
2. UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon U. Asopa & S. Kumar 10.1029/2020EA001230
3. High-density forest AGB estimation in tropical forest integrated with PolInSAR multidimensional features and optimized machine learning algorithms H. Luo et al. 10.1016/j.ecolind.2024.111878
4. Pol-InSAR sensitivity to hemi-boreal forest structure at L- and P-bands S. Hosseini & F. Garestier 10.1016/j.jag.2020.102213
5. Fusion method for vegetation height inversion with multibaseline PolInSAR data 成. 邢 et al. 10.1360/SSI-2021-0436
6. Forest Canopy Height Estimation by Integrating Structural Equation Modeling and Multiple Weighted Regression H. Zhu et al. 10.3390/f15020369
7. A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives C. Xing et al. 10.3390/rs15153781
8. Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen H. Song et al. 10.34133/remotesensing.0379