Deep learning models for improved reliability of tree aboveground biomass prediction in the tropical evergreen broadleaf forests

Bao Huy,Nguyen Quy Truong,Nguyen Quy Khiem,Krishna P. Poudel,Hailemariam Temesgen

Forest Ecology and Management（2022）

引用 6|浏览0

暂无评分

摘要

•Deep Learning (DL) improved the reliability of tree aboveground biomass (AGB) prediction compared to regression equations.•Factor Analysis for Mixed Data to identify AGB predictors that varied at tree, stand, and ecological gradients.•The best DL model for predicting tree AGB had nine predictors (DBH, H, Ecoregion, Altitude, P, T, Soil type, N and WD).

查看译文

关键词

Aboveground biomass,Artificial intelligence,Deep learning,Evergreen broadleaf forest,Forest carbon sequestration

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要