QH
Member Since 2015
Qunying Huang
Associate professor, University of Wisconsin Madison
AGU Research
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Empowering Wildfire Damage Assessment with Bi-temporal Sentinel-2 Data and Deep Learning
EMPOWERING RESILIENCE TO CLIMATIC AND ENVIRONMENTAL HAZARDS THROUGH GEOSPATIAL DATA SCIENCE I ORAL
natural hazards | 12 december 2023
Qunying Huang, Mingda Wu, Tang Sui
Wildfires have profound implications, leading to extensive destruction and significant threats to both the natural environment and human society. Effi...
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Knowledge-Informed Machine Learning for Real-time Flood Mapping with High-Resolution PlanetScope Imagery
COMMERCIAL EARTH OBSERVATION DATA: RESEARCH AND APPLICATIONS III POSTER
earth and space science informatics | 15 december 2022
Bo Peng, Qunying Huang
Modern data-driven machine learning approaches (especially deep neural networks) have proved to be powerful for flood mapping. The main bottleneck is ...
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Big Data and GeoAI for Natural Hazards
APPLICATIONS OF AI/ML USING REMOTE SENSING, SOCIAL SENSING, AND MODEL DATA TO STUDY HAZARD I ORAL
natural hazards | 15 december 2022
Qunying Huang, Bo Peng, Meiliu Wu, Jirapa Vongkuso...
Real-time big data streams, generated from both static and dynamic sources, such as remote sensing, unmanned aerial systems and social media, offer ex...
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Mixed Land Use Detection via Multi-modal Learning
AI/ML ASSURANCE: APPLICATIONS IN GEOSPATIAL SCIENCES II POSTER
earth and space science informatics | 12 december 2022
Meiliu Wu, Qunying Huang
Land use classification based on visual interpretation of aerial images has been extensively studied over decades. However, it is difficult to use suc...
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Public sentiment and movement patterns during natural hazards
PUBLIC SENTIMENT AND MOVEMENT PATTERNS DURING NATURAL HAZARDS
earth and space science informatics | 13 december 2017
Qunying Huang, Chenxiao (Atlas) Guo
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An Enhanced Text-Mining Framework for Extracting Disaster Relevant Data through Social Media and Remote Sensing Data Fusion
FALL MEETING 2016
13 december 2016
Christopher J. Scheele, Qunying Huang
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Data Container Study for Handling Array-based Data Using Rasdaman, Hive, Spark, and MongoDB
FALL MEETING 2016
12 december 2016
Mengchao Xu, Fei Hu, Qunying Huang, Michael M. Lit...
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Rasdaman for Big Spatial Raster Data
FALL MEETING 2015
17 december 2015
Fei Hu, Qunying Huang, Kai Liu, Christopher J. Sch...
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