Forest age is a critical ecological variable for quantifying carbon sequestration, assessing biodiversity, and supporting sustainable forest management. Conventional remote sensing approaches for forest age estimation either rely heavily on field inventory data or require long-term optical archives, limiting their scal...
Yi-Ya Qiao, S. Nie, Cheng Wang et al.· IEEE Transactions on Geoscie...· 0 citations
Integrating airborne light detection and ranging (LiDAR) with the global ecosystem dynamics investigation (GEDI) offers an effective way to characterize forest canopy height changes. However, the accuracy of conventional change estimation methods is often limited by systematic geolocation errors, intersensor inconsiste...
Hua-Chen Zhao, S. Nie, X. Xi et al.· IEEE Transactions on Geoscie...· 0 citations
Airborne light detection and ranging (LiDAR) provides detailed 3-D structural information for forest attribute retrieval. However, existing parametric models for stand volume estimation often exhibit limited transferability and robustness across heterogeneous forest conditions. This study introduces a LiDAR 3-D structu...
S. Nie, Cheng Wang, Xiao-Xiao Zhu et al.· IEEE Transactions on Geoscie...· 0 citations
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