Miaogen Shen
Orcid: 0000-0001-5742-8807
According to our database1,
Miaogen Shen
authored at least 15 papers
between 2010 and 2023.
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Bibliography
2023
Spatio-Temporal Dynamic of Disturbances in Planted and Natural Forests for the Saihanba Region of China.
Remote. Sens., October, 2023
Remotely Sensed Vegetation Green-Up Onset Date on the Tibetan Plateau: Simulations and Future Predictions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Characterizing Spatiotemporal Patterns of Winter Wheat Phenology from 1981 to 2016 in North China by Improving Phenology Estimation.
Remote. Sens., 2022
Characteristics of Greening along Altitudinal Gradients on the Qinghai-Tibet Plateau Based on Time-Series Landsat Images.
Remote. Sens., 2022
Reconstructing High-Spatiotemporal-Resolution (30 m and 8-Days) NDVI Time-Series Data for the Qinghai-Tibetan Plateau from 2000-2020.
Remote. Sens., 2022
An Overview of Ecosystem Changes in Tibetan and Other Alpine Regions from Earth Observation.
Remote. Sens., 2022
2021
Optimal Color Composition Method for Generating High-Quality Daily Photographic Time Series From PhenoCam.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion.
IEEE Trans. Geosci. Remote. Sens., 2020
Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau.
Remote. Sens., 2020
Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology.
Remote. Sens., 2020
Uncertainty of Vegetation Green-Up Date Estimated from Vegetation Indices Due to Snowmelt at Northern Middle and High Latitudes.
Remote. Sens., 2020
2019
How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?
Remote. Sens., 2019
2018
A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery.
Remote. Sens., 2018
2016
A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index.
IEEE Trans. Geosci. Remote. Sens., 2016
2010
Sci. China Inf. Sci., 2010