A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives

C Xing, H Wang, Z Zhang, J Yin, J Yang - Remote Sensing, 2023 - mdpi.com
Forests cover approximately one-third of the Earth's land surface and constitute the core
region of the carbon cycle on Earth. The paramount importance and multi-purpose …

Forest Height Inversion by Convolutional Neural Networks Based on L-Band PolInSAR Data Without Prior Knowledge Dependency

D Li, H Lu, C Li, L Mohaisen… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Forest height is a key forest parameter which is of great significance for monitoring forest
resources, calculating forest biomass, and observing the global carbon cycle. Because the …