Deep learning model transfer in Forest Mapping using Multi-source Satellite SAR and Optical images
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth
observation (EO) images. However, in practical forest inventories, reference datasets are …
observation (EO) images. However, in practical forest inventories, reference datasets are …
Improving the Estimation of Structural Parameters of a Mixed Conifer–Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial …
Forest structural parameters are crucial for assessing ecological functions and forest quality.
To improve the accuracy of estimating these parameters, various approaches based on …
To improve the accuracy of estimating these parameters, various approaches based on …