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Robin van der Schalie
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2020 – today
- 2023
- [j10]Luis Filipe Lages
, Nuno Catarino, Emanuel Gomes, Péter Tóh, Carlos Reis-Marques, Mario Mohr, Sebastian Max Borde, Omid Asgari
, Ronnie Figueiredo
, Nuno Grosso, David Perez, Ana Ponte, Sílvia Lopes Teixeira, Robin van der Schalie, Daniele Fantin, Jo Van Brusselen
, Alireza Taravat, Gerd Schmidt:
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. 23(3): 1621-1663 (2023) - 2022
- [j9]Guojie Wang
, Xiaowen Ma, Daniel Fiifi Tawia Hagan
, Robin van der Schalie, Giri Kattel
, Waheed Ullah
, Liangliang Tao, Lijuan Miao, Yi Liu
:
Towards Consistent Soil Moisture Records from China's FengYun-3 Microwave Observations. Remote. Sens. 14(5): 1225 (2022) - [j8]Rémi Madelon
, Nemesio J. Rodríguez-Fernández
, Robin van der Schalie, Tracy Scanlon, Ahmad Al Bitar
, Yann H. Kerr
, Richard de Jeu
, Wouter Dorigo:
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. 15: 831-848 (2022) - 2021
- [j7]Robin van der Schalie, Mendy van der Vliet
, Nemesio J. Rodríguez-Fernández
, Wouter A. Dorigo, Tracy Scanlon, Wolfgang Preimesberger
, Rémi Madelon, Richard A. M. de Jeu:
L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records. Remote. Sens. 13(13): 2480 (2021) - [c4]Rémi Madelon, Nemesio J. Rodríguez-Fernández, Robin van der Schalie, Yann Kerr, A. Albitar, Tracy Scanlon, Richard de Jeu, Wouter Dorigo:
Towards the Removal of Model Bias from ESA CCI SM by Using an L-Band Scaling Reference. IGARSS 2021: 6194-6197 - 2020
- [j6]Mendy van der Vliet
, Robin van der Schalie, Nemesio Rodriguez-Fernandez
, Andreas Colliander, Richard de Jeu, Wolfgang Preimesberger
, Tracy Scanlon, Wouter Dorigo
:
Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records. Remote. Sens. 12(20): 3439 (2020)
2010 – 2019
- 2019
- [c3]Wouter Dorigo, Leander Mösinger, Irene E. Teubner, Tracy Scanlon, Robin van der Schalie, Richard de Jeu, Matthias Forkel
:
Novel Long-Term Global Indicators of Plant Productivity from Microwave Satellites. IGARSS 2019: 5500-5503 - 2018
- [j5]Irene E. Teubner, Matthias Forkel
, Martin Jung, Yi Y. Liu, Diego G. Miralles
, Robert M. Parinussa, Robin van der Schalie, Mariette Vreugdenhil
, Christopher R. Schwalm, Gianluca Tramontana, Gustau Camps-Valls
, Wouter A. Dorigo
:
Assessing the relationship between microwave vegetation optical depth and gross primary production. Int. J. Appl. Earth Obs. Geoinformation 65: 79-91 (2018) - [j4]Robin van der Schalie, Richard de Jeu, Robert M. Parinussa, Nemesio Rodriguez-Fernandez
, Yann Kerr
, Amen Al-Yaari
, Jean-Pierre Wigneron
, Matthias Drusch:
The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors. Remote. Sens. 10(1): 107 (2018) - [c2]Wouter Dorigo
, Alexander Gruber
, Robin van der Schalie, Christoph Paulik, Tracy Scanlon, Christoph Reimer, Richard Kidd, Richard de Jeu, Wolfgang Wagner
:
Statistical Merging of Active and Passive Microwave Observations Into Long-Term Soil Moisture Climate Data Records. IGARSS 2018: 333-336 - [c1]Maria Piles
, Robin van der Schalie, Alexander Gruber
, Jordi Muñoz-Marí, Gustavo Camps-Valls
, Anna Mateo-Sanchis, Wouter Dorigo
, Richard de Jeu:
Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors. IGARSS 2018: 8259-8262 - 2017
- [j3]Robert M. Parinussa, Guojie Wang, Yi Y. Liu, Daniel Fiifi Tawia Hagan
, Fenfang Lin, Robin van der Schalie, Richard A. M. de Jeu:
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China. Remote. Sens. 9(2): 149 (2017) - 2016
- [j2]Robin van der Schalie, Yann H. Kerr, Jean-Pierre Wigneron
, Nemesio J. Rodríguez-Fernández
, A. Al-Yaari
, Richard A. M. de Jeu:
Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model. Int. J. Appl. Earth Obs. Geoinformation 45: 125-134 (2016) - [j1]Nemesio J. Rodríguez-Fernández
, Yann H. Kerr
, Robin van der Schalie, Amen Al-Yaari
, Jean-Pierre Wigneron
, Richard de Jeu, Philippe Richaume, Emanuel Dutra
, Arnaud Mialon
, Matthias Drusch:
Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data. Remote. Sens. 8(11): 959 (2016)
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last updated on 2024-08-05 20:16 CEST by the dblp team
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