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Annual forest aboveground biomass changes mapped using ICESat/GLAS measurements, historical inventory data, and time-series optical and radar imagery for Guangdong province, China
Wenjuan Shen, Mingshi Li, Chengquan Huang, Xin Tao, Anshi Wei
Nanjing Forestry University University of Maryland, College Park University at Buffalo, State University of New York Guangdong Province Environmental Monitoring Center
来源Agricultural and Forest Meteorology
年份2018
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物理Remote Sensing and LiDAR Applications
Remote Sensing in Agriculture · Forest ecology and management
参考文献 95
Classification and Regression by randomForest
被引 18,405Andy Liaw, Matthew C. Wiener · 2007
Ecologists Report Huge Storm Losses in China's Forests
被引 52Richard Stone · Science · 2008
Generalized Boosted Models: A guide to the gbm package
被引 769Greg Ridgeway · 2006
此处列出前 3 条
引用本文 66
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
被引 407Zhenzhen Liu, Mingyang Li, Chao Li · Scientific Reports · 2020
Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms
被引 181Zhenzhen Liu, Chao Li, Mingyang Li · Forests · 2019
Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests
被引 127Huiyi Su, Wenjuan Shen, Jingrui Wang · Forest Ecosystems · 2020
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