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Zhongyang Hu
Zhongyang Hu
Institute for Marine and Atmospheric research Utrecht (IMAU)
Verified email at uu.nl
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Cited by
Year
Cloud-based storage and computing for remote sensing big data: A technical review
C Xu, X Du, X Fan, G Giuliani, Z Hu, W Wang, J Liu, T Wang, Z Yan, J Zhu, ...
International Journal of Digital Earth 15 (1), 1417-1445, 2022
192022
A modular remote sensing big data framework
C Xu, X Du, X Fan, Z Yan, X Kang, J Zhu, Z Hu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021
132021
The potential of retrieving snow line dynamics from Landsat during the end of the ablation seasons between 1982 and 2017 in European mountains
Z Hu, A Dietz, C Kuenzer
International Journal of Applied Earth Observation and Geoinformation 78 …, 2019
132019
The potential of Earth observation for the analysis of cold region land surface dynamics in europe—A review
Z Hu, C Kuenzer, AJ Dietz, S Dech
Remote Sensing 9 (10), 1067, 2017
122017
Snow moving to higher elevations: analyzing three decades of snowline dynamics in the Alps
Z Hu, A Dietz, A Zhao, S Uereyen, H Zhang, M Wang, P Mederer, ...
Geophysical research letters 47 (12), e2019GL085742, 2020
112020
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges
S de Roda Husman, Z Hu, B Wouters, PK Munneke, S Veldhuijsen, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
102022
Deriving regional snow line dynamics during the ablation seasons 1984–2018 in European Mountains
Z Hu, AJ Dietz, C Kuenzer
Remote Sensing 11 (8), 933, 2019
102019
FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
Z Hu, PK Munneke, S Lhermitte, M Dirscherl, C Ji, M van den Broeke
Remote Sensing of Environment 280, 113202, 2022
82022
Assessing wildfire activity and forest loss in protected areas of the Amazon basin
E Da Ponte, F Alcasena, T Bhagwat, Z Hu, L Eufemia, APD Turetta, ...
Applied Geography 157, 102970, 2023
62023
Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf
Z Hu, PK Munneke, S Lhermitte, M Izeboud, M Van Den Broeke
Cryosphere 15 (12), 5639-5658, 2021
52021
Remote Sensing of Snow Cover in the Alps. An Overview of Opportunities and Constraints.
A Dietz, Z Hu, YL Tsai
22018
Snow cover dynamics in the European Alps derived from medium resolution earth Observation imagery
Z Hu, A Dietz, C Kuenzer
12018
A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning
S de Roda Husman, S Lhermitte, J Bolibar, M Izeboud, Z Hu, S Shukla, ...
Remote Sensing of Environment 301, 113950, 2024
2024
UMelt: A Novel High-Resolution Record of Surface Melt on Antarctic Ice Shelves
S de Roda Husman, S Lhermitte, J Bolibar, M Izeboud, Z Hu, S Shukla, ...
AGU23, 2023
2023
The Added Value of Remote Sensing Data in Downscaling Regional Climate Models
S de Roda Husman, Z Hu, P Kuipers Munneke, M van Tiggelen, ...
EGU General Assembly Conference Abstracts, EGU-12927, 2023
2023
Earth Observation for Surface Melt Monitoring over Antarctic Ice Shelves: Opportunities and Challenges
S de Roda Husman, Z Hu, S Lhermitte, B Wouters, P Kuipers Munneke
EGU General Assembly Conference Abstracts, EGU22-5463, 2022
2022
Tracking blue ice in time: deriving Antarctic blue ice fraction from MODIS images using spectral unmixing
Z Hu, P Kuipers Munneke, S Lhermitte, M Dirscherl, C Ji, ...
EGU General Assembly Conference Abstracts, EGU22-5343, 2022
2022
Improving Surface Melt Estimation over Antarctica Using Deep Learning: A Proof-of-Concept over the Larsen Ice Shelf.
Z Hu, P Kuipers Munneke, S Lhermitte, M Izeboud, M van den Broeke
Cryosphere Discussions, 2021
2021
Estimating Surface Melt on the Larsen Ice Shelf Using a Deep Neural Network: Opportunities and Challenges
Z Hu, P Kuipers Munneke, S Lhermitte, M Izeboud, M van den Broeke
EGU General Assembly Conference Abstracts, EGU21-908, 2021
2021
Assessing the wildfire activity in protected areas of the Amazon basin
E Da Ponte, F Alcasena, T Bhagwat, Z Hu
EGU General Assembly Conference Abstracts, EGU21-7200, 2021
2021
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