Name
Affiliation
Papers
BAOJIAN LIU
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
15
Collaborators
Citations 
PageRank 
47
1
5.10
Referers 
Referees 
References 
4
57
7
Title
Citations
PageRank
Year
Soil Moisture Retrieval Using BuFeng-1 A/B Based on Land Surface Clustering Algorithm00.342022
A Two-Step Method to Calibrate CYGNSS-Derived Land Surface Reflectivity for Accurate Soil Moisture Estimations00.342022
A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval00.342022
Initial Evaluation of the First Chinese GNSS-R Mission BuFeng-1 A/B for Soil Moisture Estimation00.342022
Can the Accuracy of Sea Surface Salinity Measurement be Improved by Incorporating Spaceborne GNSS-Reflectometry?00.342021
First Assessment of CyGNSS-Incorporated SMAP Sea Surface Salinity Retrieval Over Pan-Tropical Ocean00.342021
Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China.10.372020
Construct Channel Network Topology From Remote Sensing Images by Morphology and Graph Analysis00.342020
Corrections to “An Efficient and Effective Approach for Georeferencing AVHRR and GaoFen-1 Imageries Using Inland Water Bodies”00.342019
Using CYGNSS Data to Monitor China's Flood Inundation during Typhoon and Extreme Precipitation Events in 2017.00.342019
Corrections to “Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach”00.342019
Spaceborne GNSS-R Observation of Global Lake Level: First Results from the TechDemoSat-1 Mission.00.342019
Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach00.342019
A Google Earth Engine-enabled software for efficiently generating high-quality user-ready Landsat mosaic images.00.342019
An Efficient and Effective Approach for Georeferencing AVHRR and GaoFen-1 Imageries Using Inland Water Bodies.00.342018