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Yixin Wen
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2020 – today
- 2022
- [j10]Zhi Li
, Mengye Chen
Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region. Environ. Model. Softw. 155: 105450 (2022) - [j9]Shaowen Lu
Semi-Supervised Condition Monitoring and Visualization of Fused Magnesium Furnace. IEEE Trans Autom. Sci. Eng. 19(4): 3471-3482 (2022) - 2021
- [j8]Zhi Li
CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. Environ. Model. Softw. 141: 105051 (2021) - 2020
- [j7]Zhi Li
Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote. Sens. 12(8): 1258 (2020) - [c1]Shaowen Lu, Yixin Wen:
Semi-supervised Learning Approach to Abnormality Detection with Complementary Features. INDIN 2020: 110-114
2010 – 2019
- 2018
- [j6]Bjorn Lambrigtsen
All-Weather Tropospheric 3-D Wind From Microwave Sounders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 1949-1956 (2018) - 2017
- [j5]Guoqiang Tang
Can Near-Real-Time Satellite Precipitation Products Capture Rainstorms and Guide Flood Warning for the 2016 Summer in South China? IEEE Geosci. Remote. Sens. Lett. 14(8): 1208-1212 (2017) - [j4]Igor Yanovsky
Enhanced Resolution of Microwave Sounder Imagery through Fusion with Infrared Sensor Data. Remote. Sens. 9(11): 1097 (2017) - [j3]Ali Behrangi, Yixin Wen:
On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products. Remote. Sens. 9(11): 1127 (2017) - 2016
- [j2]Yixin Wen, Ali Behrangi, Bjorn Lambrigtsen, Pierre-Emmanuel Kirstetter
Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States. Remote. Sens. 8(11): 904 (2016) - 2014
- [j1]Qing Cao, Yixin Wen, Yang Hong, Jonathan J. Gourley, Pierre-Emmanuel Kirstetter
Enhancing Quantitative Precipitation Estimation Over the Continental United States Using a Ground-Space Multi-Sensor Integration Approach. IEEE Geosci. Remote. Sens. Lett. 11(7): 1305-1309 (2014)
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