LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery.

ABSTRACT: Leaf area index (LAI) is an important biophysical parameter of vegetation and serves as a significant indicator for assessing forest ecosystems. Multi-source remote sensing data enables large-scale and dynamic surface observations, providing effective data for quantifying various indices in forest and evaluating ecosystem changes. However, employing single-source remote sensing spectral or LiDAR waveform data poses limitations for LAI inversion, making the integration of multi-source remote sensing data a trend. Currently, the fusion of active and passive remote sensing data for LAI inversion primarily relies on empirical models, which are mainly constructed based on field measurements and do not provide a good explanation of the fusion mechanism. In this study, we aimed to estimate LAI ba

SUBMITTER: Shi Z 

PROVIDER: S-EPMC10576535 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature