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Author

Ou Ku

Observed names: Ku, Ou, O. Ku
Observed institution: Netherlands eScience Center
ORCID: 0000-0002-5373-5209
Observed ORCID: 0000-0002-5373-5209
OpenAlex ID: A5071563638
swyft: Truncated Marginal Neural Ratio Estimation in Python
2022 · Benjamin Kurt Miller, Alex Cole, et al. · The Journal of Open Source Software · 36
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Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds
2022 · W. Daniel Kissling, Yifang Shi, et al. · Ecological Informatics · 29
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Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey
2022 · W. Daniel Kissling, Yifang Shi, et al. · Data in Brief · 27
Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network
2022 · Xu Shan, Susan Steele-Dunne, et al. · Remote Sensing of Environment · 22
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Explainable few-shot learning workflow for detecting invasive and exotic tree species
2025 · Caroline M. Gevaert, Alexandra Aguiar Pedro, et al. · Scientific Reports · 10
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Identification of deformation pattern changes caused by enhanced oil recovery (EOR) using InSAR
2018 · Ling Chang, Ou Ku, et al. · International Journal of Remote Sensing · 10
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Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe
2024 · Xu Shan, Susan Steele-Dunne, et al. · Remote Sensing of Environment · 9
CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes
2022 · Francesco Nattino, Ou Ku, et al. · The Journal of Open Source Software · 2
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CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes
2020 · Nattino, Francesco, Ku, Ou, et al. · University of Twente Research Information · 2
De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning
2024 · Alexandra Aguiar Pedro, Farzaneh Dadrass Javan, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 1
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Remote Sensing Deployable Analysis environmenT
2023 · Pranav Chandramouli, Francesco Nattino, et al. · EGU General Assembly Conference Abstracts · 1
Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3)
2022 · W. Daniel Kissling, Yifang Shi, et al. · UvA-DARE (University of Amsterdam) · 1
CGC: an open-source Python module for geospatial data clustering
2022 · Ou Ku, Francesco Nattino, et al. · EGU General Assembly Conference Abstracts · 1
Topographic elevation change through tracking shadow cast from mountain ridges. Showcasing Red Glacier, Mt. Iliamna.
2021 · Bas Altena, Francesco Nattino, et al. · EGU General Assembly Conference Abstracts · 1
Estimation of InSAR Tropospheric Delay Using ERA-Interim Global Atmospheric Reanalysis
2017 · Ou Ku · Research Repository (Delft University of Technology) · 1
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hpc-dat_halfday_WS_template
2026 · Grootes, Meiert Willem, Nattino, Francesco, et al. · Zenodo (CERN European Organization for Nuclear Research)
SARXarray: Xarray extension for Synthetic Aperture Radar data
2026 · Ou Ku, Fakhereh (Sarah) Alidoost, et al. · The Journal of Open Source Software
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ClimaNet
2026 · Alidoost, Fakhereh (Sarah), Grootes, Meiert Willem, et al. · Zenodo (CERN European Organization for Nuclear Research)
On the Importance of the Jacobian of a DNN Observation Operator in Land Data Assimilation
2026 · Xu Shan, Susan Steele‐Dunne, et al. · Water Resources Research
DePSI
2026 · Ou Ku, Bingquan Li, et al. · Zenodo (CERN European Organization for Nuclear Research)
DePSI: An Open-Source Python Software Package for PS-InSAR Analysis
2026 · Ou Ku, Freek van Leijen, et al. · EGU General Assembly Conference Abstracts
MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications
2024 · Ou Ku, Fakhereh Alidoost, et al. · The Journal of Open Source Software
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SARXarray and STMtools: Open-Source Python Libraries for InSAR Data Processing and Analysis
2024 · O. Ku, F. Alidoost, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution
2024 · Francesco Nattino, Emma Izquierdo-Verdiguier, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Deploying Pangeo on HPC: our experience with the Remote Sensing Deployment Analysis environmenT on SURF infrastructure
2024 · Francesco Nattino, Meiert W. Grootes, et al. · EGU General Assembly Conference Abstracts
Works count: 53
Citation count: 157
H-index: 7
I10-index: 6
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