| 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 | 218 | 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 | 98 | 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 | 98 | 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 | 51 | 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 | 28 | 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 | 12 | 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 | 12 | 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 | 2 | 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 | 2 | 2017 |
| The Climate Risks of Global China: Measuring Rising Heat and Flood Risk Along the Belt-and-Road Initiative J Liang, MA Carrai, AA Malik, X Gao, X Gao, L Feng, K Huang | 1 | 2023 |
| 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 | 1 | 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 | 1 | 2019 |
| Improved snow depth retrieval by combining SSM/I and MODIS data with SVM regression J Liang 2013 AGU Fall Meeting, 2013 | 1 | 2013 |
| Measuring Rising Heat and Flood Risk Along the Belt-and-Road Initiative J Liang, MA Carrai, AA Malik, X Gao, X Gao, L Feng, K Huang | | 2024 |
| Global flood water delineation using calculated local thresholds based on Sentinel-1 SAR imagery L Feng, J Liang AGU23, 2024 | | 2024 |
| Declining urban density attenuates rising population-weighted exposure to surface heat extremes K Huang, CH Guan, B Stone, J Liang | | 2023 |
| 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 | | 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 | | 2019 |
| Flood Mapping in Riverine and Coastal Urban Areas Using Multi-sensor Imagery and Multi-source Information J Liang The Ohio State University, 2019 | | 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 | | 2019 |
Kangning HuangAssistant Professor, New York University Shanghai在 nyu.edu 的电子邮件经过验证
