Three-Stage Up-Scaling and Uncertainty Estimation in Forest Aboveground Biomass Based on Multi-Source Remote Sensing Data Considering Spatial Correlation基于多源遥感数据并考虑空间相关性的森林地上生物量三阶段上采样与不确定性估计REMOTE SENSINGIF4.12025-02-160OA
Fine scale optical remote sensing experiment of mixed stand over complex terrain (FOREST) in the Genhe Reserve Area: objective, observation and a case studyINTERNATIONAL JOURNAL OF DIGITAL EARTHIF4.92021-08-239OA
Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDARIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSINGIF8.62020-01-0118PREAI
Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountainsAGRICULTURAL AND FOREST METEOROLOGYIF5.72017-11-0142OAAI
Estimating montane forest above-ground biomass in the upper reaches of the Heihe River Basin using Landsat-TM dataINTERNATIONAL JOURNAL OF REMOTE SENSINGIF2.62014-11-0355PREAI
Reprint of: Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid areaINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATIONIF8.62012-07-0119PREAI
Feature analysis of LIDAR waveforms from forest canopiesSCIENCE CHINA-EARTH SCIENCESIF5.82011-06-1710PREAI
ELECTROMAGNETIC SCATTERING FROM A CORN CANOPY AT L AND C BANDSPROGRESS IN ELECTROMAGNETICS RESEARCH-PIERIF9.32011-01-013OAAI