Jiayong Liang
Jiayong Liang
New York University Shanghai
Verified email at - Homepage
Cited by
Cited by
A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery
J Liang, D Liu
ISPRS Journal of Photogrammetry and Remote Sensing 159, 53-62, 2020
An improved artificial immune system for seeking the Pareto front of land-use allocation problem in large areas
K Huang, X Liu, X Li, J Liang, S He
International Journal of Geographical Information Science 27 (5), 922-946, 2013
Automatic registration of multisensor images using an integrated spatial and mutual information (SMI) metric
J Liang, X Liu, K Huang, X Li, D Wang, X Wang
IEEE transactions on geoscience and remote sensing 52 (1), 603-615, 2013
Improved snow depth retrieval by integrating microwave brightness temperature and visible/infrared reflectance
J Liang, X Liu, K Huang, X Li, X Shi, Y Chen, J Li
Remote Sensing of Environment 156, 500-509, 2015
Comparing earth observation and inundation models to map flood hazards
L Hawker, J Neal, B Tellman, J Liang, G Schumann, C Doyle, JA Sullivan, ...
Environmental Research Letters 15 (12), 124032, 2020
Automated estimation of daily surface water fraction from MODIS and Landsat images using Gaussian process regression
J Liang, D Liu
International Journal of Remote Sensing 42 (11), 4261-4283, 2021
Estimating Daily Inundation Probability Using Remote Sensing, Riverine Flood, and Storm Surge Models: A Case of Hurricane Harvey
J Liang, D Liu
Remote Sensing 12 (9), 1495, 2020
A Pipeline for Disaster Response and Relief Coordination
SP Pranav Maneriker, Nikhita Vedula, Hussein Al-Olimat, Jiayong Liang, Omar ...
2019 42nd International ACM SIGIR Conference on Research and Development in …, 2019
Image Fusion for Flood Detection based on Surface Change Probability (IFFD): An Example of MODIS and Landsat
J Liang
2017 AAG Annual Meeting, 2017
From publishable to operational: new metrics to more honestly measure the ability of remote sensing algorithms to consistently monitor flooded assets and populations in near …
B Tellman, S Weber, L Landuyt, J Liang, E Glinskis, JC Ho, J Sullivan, ...
AGU Fall Meeting Abstracts 2019, H13F-05, 2019
An Unsupervised Surface Water Un-Mixing Method Using Landsat and Modis Images for Rapid Inundation Observation
J Liang, D Liu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Improved snow depth retrieval by combining SSM/I and MODIS data with SVM regression
J Liang
2013 AGU Fall Meeting, 2013
Leveraging earth observation and inundation models to map frequent to rare flood hazards
LP Hawker, JC Neal, B Tellman, J Liang, G Schumann, C Doyle, ...
AGU Fall Meeting Abstracts 2020, H197-0011, 2020
Monitoring inundated infrastructure and assets with high resolution satellite imagery to enable financial protection
B Tellman, JC Ho, B Schwarz, AY Zolli, SR Young, S Roy, S Weber, ...
AGU Fall Meeting Abstracts 2019, GC31N-1399, 2019
Flood Mapping in Riverine and Coastal Urban Areas Using Multi-sensor Imagery and Multi-source Information
J Liang
The Ohio State University, 2019
An unsupervised surface water un-mixing method with MODIS derived water indices for rapid flood observation
DL Jiayong Liang
2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Building Resilience to Natural Hazards by Utilizing Citizen Science and Understanding Compound Hazards
JD Paul, K Huang, J Liang, DM Hannah
AGU Fall Meeting 2018, 2018
Flood delineation based on time series change detection and region growing of SAR images
J Liang
2018 AAG Annual Meeting, 2018
Estimating daily surface water fraction by using regression tree and MODIS derived water indices
J Liang
2018 AGU Fall Meeting, 2018
Flood Extent Delineation by Thresholding Sentinel-1 SAR Imagery Based on Ancillary Land Cover Information
J Liang
2017 AGU Fall Meeting, 2017
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