ABSTRACT: Accurate canopy height estimation is critical for forest management and carbon monitoring in Zambia’s ecologically diverse landscapes. This study developed a high-resolution canopy height ...

About Python script to pull plot-level variables from Google Earth Engine ...

Ensemble methods such as random forest works well on high-dimensional datasets. However, when the number of features is extremely large compared to the number of samples and the percentage of truly ...

Cloudy Mountain Plot function in Python. Contribute to g-insana/cmplot.py development by creating an account on GitHub.

By properly modifying the training process of standard random forest, our algorithm significantly improves the performance while preserving the virtue of random forest such as low computational burden ...