Ensemble Machine Learning for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest

Article

Abstract: The increased variety of satellite remote sensing platforms creates opportunities for estimating tro

Palabras claves:

ensemble machine learning, interpolated canopy height and elevation models, multispectral imagery, seasonally dry tropical forest, α-diversity

Autores:

Andrea K. Jara-Guerrero, Carlos Iván Espinosa Iñiguez, María Fernanda Tapia-Armijos, Sesnie S.E.

Fuentes:

google

scopus