Hybrid Deep Learning–Geostatistical Mapping of Forest Aboveground Biomass in Lishui, China

Forest aboveground biomass (AGB) is a key indicator of forest productivity and carbon sequestration, yet many remote sensing AGB models overlook spatial autocorrelation in plot observations and model residuals. This study proposes a hybrid framework that combines a CNN-Transformer (Convolutional Neu...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Rui Qian, Qilin Zhang, Yuying Gong, Jingyi Wang, Xiaolei Cui, Xiong Yin, Mingshi Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Plants
Assuntos:	forest aboveground biomass CNN-Transformer Sentinel-2 ALOS PALSAR geostatistics Random Forest
Acesso em linha:	https://www.mdpi.com/2223-7747/15/4/587
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!