Liang Sun
Orcid: 0000-0003-2631-8909Affiliations:
- USDA Agricultural Research Service, Washington, DC, USA
- Chinese Academy of Agricultural Sciences, Haidian District, Beijing, China (2012 - 2015)
- Beijing Normal University, School of Geograpy, China (PhD 2010)
According to our database1,
Liang Sun
authored at least 21 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Estimating Fraction of Absorbed Photosynthetically Active Radiation of Winter Wheat Based on Simulated Sentinel-2 Data under Different Varieties and Water Stress.
Remote. Sens., January, 2024
2023
Estimation of Winter Wheat Yield Using Multiple Temporal Vegetation Indices Derived from UAV-Based Multispectral and Hyperspectral Imagery.
Remote. Sens., October, 2023
Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado.
Remote. Sens., September, 2023
2022
Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data.
Remote. Sens., December, 2022
2021
Evaluation of Five Deep Learning Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information.
Remote. Sens., 2021
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors.
Remote. Sens., 2021
Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression.
Remote. Sens., 2021
Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance.
Remote. Sens., 2021
Strategies for the Development of Spectral Models for Soil Organic Matter Estimation.
Remote. Sens., 2021
2020
Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China.
Remote. Sens., 2020
2019
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series - A Case Study in Zhanjiang, China.
Remote. Sens., 2019
2018
Remote. Sens., 2018
2017
Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards.
Remote. Sens., 2017
Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data.
Comput. Geosci., 2017
2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Longterm daily fieldscale evapotranspiration estimation using multisatellite data fusion in an intensively drained agricultural area in South Dakota, USA.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
Application of Crop Model Data Assimilation With a Particle Filter for Estimating Regional Winter Wheat Yields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
The Estimation of Regional Crop Yield Using Ensemble-Based Four-Dimensional Variational Data Assimilation.
Remote. Sens., 2014