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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Rui Qian, Qilin Zhang, Yuying Gong, Jingyi Wang, Xiaolei Cui, Xiong Yin, Mingshi Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-02-01
Sarja:	Plants
Aiheet:	forest aboveground biomass CNN-Transformer Sentinel-2 ALOS PALSAR geostatistics Random Forest
Linkit:	https://www.mdpi.com/2223-7747/15/4/587
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