Rong Shang

Publications

• 基于背景知识的全球长时间序列反照率反演
• Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices
• LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters
• A 21-Year Time Series of Global Leaf Chlorophyll Content Maps From MODIS Imagery
• Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data
• Satellite Observed Land Surface Greening in Summer Controlled by the Precipitation Frequency Rather Than Its Total Over Tibetan Plateau
• Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data
• Determining the start of the growing season from MODIS data in the Indian Monsoon Region: Identifying available data in the rainy season and modeling the varied vegetation growth trajectories
• Extracting the vegetation phenology of India monsoon forest
• Differences of vegetation phenology monitoring by remote sensing based on different spectral vegetation indices
• Retrieving global leaf chlorophyll content from MERIS data using a neural network method
• Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data
• High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
• Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach
• The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology
• Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability
• Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach
• Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series
• High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data
• Can Landsat 7 preserve its science capability with a drifting orbit?
• GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000-2020
• China's current forest age structure will lead to weakened carbon sinks in the near future
• A Satellite Observational Study of Topographical Effects on Daytime Shallow Convective Clouds
• Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples