Robin van der Schalie

According to our database1, Robin van der Schalie authored at least 14 papers between 2016 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Solutions for the commercialization challenges of Horizon Europe and earth observation consortia: co-creation, innovation, decision-making, tech-transfer, and sustainability actions.
Electron. Commer. Res., September, 2023

2022
Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an $L$-Band Scaling Reference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Towards Consistent Soil Moisture Records from China's FengYun-3 Microwave Observations.
Remote. Sens., 2022

2021
L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records.
Remote. Sens., 2021

Towards the Removal of Model Bias from ESA CCI SM by Using an L-Band Scaling Reference.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records.
Remote. Sens., 2020

2019
Novel Long-Term Global Indicators of Plant Productivity from Microwave Satellites.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors.
Remote. Sens., 2018

Assessing the relationship between microwave vegetation optical depth and gross primary production.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Statistical Merging of Active and Passive Microwave Observations Into Long-Term Soil Moisture Climate Data Records.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China.
Remote. Sens., 2017

2016
Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data.
Remote. Sens., 2016

Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model.
Int. J. Appl. Earth Obs. Geoinformation, 2016


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