We stand with Ukraine  

Jie Zhao

Orcid: 0000-0002-9638-3792

Affiliations:
  • Vienna University of Technology, Research Group Remote Sensing, Vienna, Austria
  • Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department, Luxembourg


According to our database1, Jie Zhao authored at least 13 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
ExEBench: Benchmarking Foundation Models on Extreme Earth Events.
[BibTeX]
[DOI]
Shan Zhao
,
Zhitong Xiong
,
Jie Zhao
,
Xiao Xiang Zhu
CoRR, May, 2025

GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models.
[BibTeX]
[DOI]
Zhitong Xiong
,
Yi Wang
,
Weikang Yu
,
Adam J. Stewart
,
Jie Zhao
,
Nils Lehmann
,
Thomas Dujardin
,
Zhenghang Yuan
,
Pedram Ghamisi
,
Xiao Xiang Zhu
CoRR, March, 2025

2024
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting.
[BibTeX]
[DOI]
Qingsong Xu
,
Yilei Shi
,
Jie Zhao
,
Xiao Xiang Zhu
Dataset, October, 2024

FloodCastBench: A Large-Scale Dataset and Foundation Models for Flooding Modeling and Forecasting.
[BibTeX]
[DOI]
Qingsong Xu
,
Yilei Shi
,
Jie Zhao
,
Xiao Xiang Zhu
Dataset, June, 2024

Urban Flood Mapping Using Satellite Synthetic Aperture Radar Data: A Review of Characteristics, Approaches and Datasets.
[BibTeX]
[DOI]
Jie Zhao
,
Ming Li
,
Yu Li
,
Patrick Matgen
,
Marco Chini
CoRR, 2024

Revolutionize the Oceanic Drone RGB Imagery with Pioneering Sun Glint Detection and Removal Techniques.
[BibTeX]
[DOI]
Jiangying Qin
,
Ming Li
,
Jie Zhao
,
Jiageng Zhong
,
Hanqi Zhang
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards Large-Scale Urban Flood Mapping Using Sentinel-1 Data.
[BibTeX]
[DOI]
Jie Zhao
,
Xiao Xiang Zhu
Proceedings of the IGARSS 2024, 2024

UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping.
[BibTeX]
[DOI]
Jie Zhao
,
Zhitong Xiong
,
Xiao Xiang Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Urban-Aware U-Net for Large-Scale Urban Flood Mapping Using Multitemporal Sentinel-1 Intensity and Interferometric Coherence.
[BibTeX]
[DOI]
Jie Zhao
,
Yu Li
,
Patrick Matgen
,
Ramona Pelich
,
Renaud Hostache
,
Wolfgang Wagner
,
Marco Chini
IEEE Trans. Geosci. Remote. Sens., 2022

Prior Information in Support of Deep Learning Methods to Map Floodwater in Urbanized Areas.
[BibTeX]
[DOI]
Jie Zhao
,
Yu Li
,
Patrick Matgen
,
Ramona Pelich
,
Renaud Hostache
,
Wofgang Wagner
,
Marco Chini
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Deriving an Exclusion Map (Ex-Map) from Sentinel-l Time Series for Supporting Floodwater Mapping.
[BibTeX]
[DOI]
Jie Zhao
,
Ramona Pelich
,
Renaud Hostache
,
Patrick Matgen
,
Senmao Cao
,
Wolfgang Wagner
,
Marco Chini
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Sar-Based Flood Mapping, Where We Are and Future Challenges.
[BibTeX]
[DOI]
Marco Chini
,
Ramona Pelich
,
Yu Li
,
Renaud Hostache
,
Jie Zhao
,
Concetta Di Mauro
,
Patrick Matgen
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
An Automatic SAR-Based Change Detection Method for Generating Large-Scale Flood Data Records: The UK as a Test Case.
[BibTeX]
[DOI]
Jie Zhao
,
Marco Chini
,
Patrick Matgen
,
Renaud Hostache
,
Ramona Pelich
,
Wolfgang Wagner
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


  Loading...