Rong Shang

Orcid: 0000-0001-6448-4428

According to our database1, Rong Shang authored at least 9 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Satellite Observational Study of Topographical Effects on Daytime Shallow Convective Clouds.
Remote. Sens., December, 2023

LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters.
Remote. Sens., July, 2023

Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices.
Remote. Sens., May, 2023

2022
A 21-Year Time Series of Global Leaf Chlorophyll Content Maps From MODIS Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022

2020
High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. 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, <i>Remote Sens.</i> 2018, <i>10</i>, 122.
Remote. Sens., 2019

Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data.
Remote. Sens., 2019

2018
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.
Remote. Sens., 2018

2016
Extracting the vegetation phenology of India monsoon forest.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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