成果/Result

Prediction and Spatiotemporal Dynamics of Vegetation Index Based on Deep Learning and Environmental Factors in the Yangtze River Basin被引量：1收藏 分享

作者：Wang, Yin[1] Zhang, Nan[1] Chen, Mingjie[1] Zhao, Yabing[1] Guo, Famiao[1]

机构：Beijing Forestry Univ;Chinese Acad Forestry

来源：FORESTS  2025

关键词：CNN-BiLSTM-AM   vegetation index prediction   Yangtze River basin   Shared Socioeconomic Pathways (SSPs) Scenario  

Forest carbon storage in China from 2003 to 2021: Estimation based on the volume-derived carbon storage model with scale-compatible and tree species-merged被引量：0收藏 分享

作者：Zhang, Cong[1,2] Li, Haikui[1,2] Wang, Xiaohui[1,3] Liu, Pengju[1,2] Liu, Qi[1,2]

机构：Chinese Acad Forestry;State Forestry & Grassland Adm;Natl Forestry & Grassland Adm

来源：FOREST ECOLOGY AND MANAGEMENT  2025

关键词：Forest carbon storage   Uncertainty   Volume-derived carbon storage model   Scale-compatible   Tree species-merged