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Journal Articles (published: #95)

Huang, X., Xu, Y., Liu, R., Wang, S., Wang, S., Zhang, M., Kang, Y., Gao, S., Zhao, B., Li, Z. (2022). Exploring home-dwelling time patterns during the COVID-19 pandemic via Bayesian inference: policy compliance, spatial disparity, and exposed inequity. Transactions in GIS. doi: 10.1111/TGIS.12918.

Huang, X., Hu, T., Wang, S., Hohl, A., Li, Z., Ye, X., Zhang, M., & Bao, S. (2022). Social media mining under the COVID-19 context: current progress, available sources, challenges, and our paths forward, International Journal of Applied Earth Observations and Geoinformation. doi: 10.1016/j.jag.2022.102967.

Huang, X., Zhao, Y., Wang, S., Li, X., Yang, D., Feng, Y., Zhu, L., & Chen, B. (2022). Unfolding community homophily in US metropolitans via human mobility. Cities, 129, 103929.

Huang, X., Martin, Y., Wang, S., Zhang, M., Ge, Y., & Li, Z. (2022). The promise of excess mobility analysis: measuring episodic-mobility with geotagged social media data. Cartography and Geographic Information Science. doi:  10.1080/15230406.2021.2023366.

Huang, X., Bao, X., Li, Z., Zhang, S., & Zhao, B. (2022). Black businesses matter: A longitudinal study of black-owned restaurants in the COVID-19 pandemic using geospatial big data. Annals of the American Association of Geographers, doi: 10.1080/24694452.2022.2095971.

Orire, A. M., Huang, X., Oloyede, O. I., Ayo, B., Raheem, W. A., & Chukwu, M. (2022). Spatio-temporal change detection of built-up areas in ilorin metropolis and implications for green space conservation. Papers in Applied Geography. doi: 10.1080/23754931.2022.2062574.

Wu, W., Huang, X., Shao, Z., Teng, J., Li, D. (2022). SAR-DRDNet: A SAR Image Despeckling Network with Detail Recovery. Neurocomputing, doi: 10.1016/j.neucom.2022.04.066.

Feng, Y., Huang, X., Sester, M. (2022). Extraction and analysis of natural disaster-related VGI from social media: review, opportunities, and challenges, International Journal of Geographical Information Science, doi: 10.1080/13658816.2022.2048835.

Wang, S., Huang, X. †, Hu, T., Corcoran, J., Zhang, M., Li, Z., Ning, H, Khan, A., & Liu, Y† (2022). The times they are changing: tracking the shifts in mental health signals in Australia before, during and post the COVID-19 pandemic. BMJ Global Health. doi: 10.1136/bmjgh-2021-007081.

Han, Y., Huang, X., Ye, X., & Dadashova, B. (2022). Adaptation planning and hazard mitigation for interdependent infrastructure systems to enhance urban resilience under climate change. Landscape Architecture Frontiers, doi: 10.15302/J-LAF-1-030031.

Li, X., Huang, X., Li, D., & Yang, X. (2022). Aggravated social segregation during the COVID-19 pandemic: evidence from crowdsourced mobility data in twelve most populated metropolitan areas. Sustainable Cities and Society, doi: 10.1016/j.scs.2022.103869.

Orire, M., Huang, X., Oloyede, O., Ayo, B., Raheem, A. & Chukwu, M. (2022). Spatiotemporal change detection of built-up areas in Ilorin metropolis and implications for green space conservation, Papers in Applied Geography, doi: 10.1080/23754931.2022.2062574.

Wu, W., Shao, Z., Huang, X., Teng, J., Guo, S., & Li, D. (2022). Quantifying the sensitivity of SAR and optical images three-level fusions in land cover classification to registration errors. International Journal of Applied Earth Observations and Geoinformation, doi: 10.1016/j.jag.2022.102868.

Ding, Q., Shao, Z., Huang, X., Altan, O. & Hu, B. (2022). Time-series land cover mapping and urban expansion analysis using OpenStreetMap data and remote sensing big data: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China. International Journal of Applied Earth Observations and Geoinformation, doi: 10.1016/j.jag.2022.103001.

Wang, S., Zhang, M., Huang, X., Hu, T., Sun, Q. C., Corcoran, J., & Liu, Y. (2022). Urban–rural disparity of social vulnerability to natural hazards in Australia. Scientific Reports, 12(1), 1-15.

Gu, Y., Shao, Z., Huang, X., Fu, Y., Gao, J., & Fan, Y. (2022). Assessing the Impact of Land Use Changes on Net Primary Productivity in Wuhan, China. Photogrammetric Engineering & Remote Sensing, 88(3), 189-197.

Wang, J., Shao, Z., Huang, X., Lu, T., Zhang, R., & Li, Y. (2022). From Artifact Removal to Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2022.3196709.

Gu, Y., Shao, Z., Huang, X., & Cai, B. (2022). GDP Forecasting Model for China’s Provinces Using Nighttime Light Remote Sensing Data, Remote Sensing, doi: 10.3390/rs14153671.

Wang, S., Zhang, M., Huang, X., Hu, T., Li, Z., Sun, Q., & Liu, Y. (2022). Urban-regional disparities in mental health signals in Australia during the COVID-19 pandemic: a study via Twitter data and machine learning models, Cambridge Journal of Regions, Economy and Society, doi:10.1093/cjres/rsac025.

Liu, Z., Liu, J., Huang, X., Chen, B. (2022). Measuring Chinese cities’ economic development with mobile application usage. Journal of Geographical Sciences (accepted).

Zhuang, Q., Wu, S., Huang, X., Kong, L., Yan, Y., Xiao, H., ... & Cai, P. (2022). Monitoring the impacts of cultivated land quality on crop production capacity in arid regions. CATENA, 214, 106263.

Li, X., Yu, S., Huang, X., Dadashova, B., Cui, W., & Zhang, Z. (2022). Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas. Accident, Analysis and Prevention. Doi:10.1016/j.aap.2022.106721.

Wang, J., Shao, Z., Huang, X., Lu, T., Zhang, R., & Cheng, G. (2022). Pan-Sharpening via Deep Locally Linear Embedding Residual Network. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-13.

Shao. Z., Ding, Q., Huang, X., & Altan Orhan. (2022). Improving urban land cover mapping with the fusion of optical and SAR data based on feature selection strategy. Photogrammetric Engineering & Remote Sensing. doi:10.14358/PERS.21-00030R2.
Zhang, R., Shao, Z., Huang, X., Wang, J., Wang, Y., & Li, D. (2022). Adaptive Dense Pyramid Network for Object Detection in UAV Imagery. Neurocomputing. doi: 10.1016/j.neucom.2022.03.033.

Feng, X., Shao, Z., Huang, X., Hu, L., Lv, X., Zhuang, Q. (2022). Integrating Zhuhai-1 Hyperspectral Imagery with Sentinel-2 Multispectral Imagery to Improve High-Resolution Impervious Surface Area Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi: 10.1109/JSTARS.2022.3157755.

Wang, X., Shao, Z., Huang, X., & Li, D. (2022). Spatiotemporal Temperature Fusion Based on a Deep Convolutional Network. Photogrammetric Engineering & Remote Sensing, 88(2), 93-101.

Fu, H., Shao, Z., Cheng, T., Huang, X., & Peng, F. (2022). Combining ATC and 3D-CNN for reconstructing spatially and temporally continuous land surface temperature. International Journal of Applied Earth Observation and Geoinformation. doi: 10.1016/j.jag.2022.102733.

Wu, W., Shao, Z., Teng, J., Huang, X., Zhao, X., & Guo, S. (2022). Urban Impervious Surface Extraction Using Seasonal Time Series SAR Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi: 10.1109/JSTARS.2022.3193137.

Pan, J., Cui, W., An, X., Huang, X., Zhang, H., Zhang, S., Zhang, R., Li, X., Cheng, W., and Hu, Y. (2022). MapsNet: Multi-attention mechanism feature constrained pixel-shuffle image fusion network for change detection in high resolution satellite image. International Journal of Applied Earth Observation and Geoinformation. doi: 10.1016/j.jag.2022.102676.

Zou, S., Zhang, L., Huang, X., Osei, F, & Ou, G. (2022). Early ecological security warning of cultivated lands using RF-MLP integration model: a case study on China’s main grain-producing areas. Ecological Indicators, doi: 10.1016/j.ecolind/2022.109059.

Zhuang, Q., Shao, Z., Huang, X., Cai, B., Altan, O. (2022) Unequal weakening of urbanization and soil salinization on vegetation production capacity. Geoderma, doi: 10.1016/j.geoderma.2022.115712.

Shao, Z., Zhang, Y., Zhang, C., & Huang, X. (2022). Mapping impervious surfaces with hierarchical spectral mixture analysis incorporating endmember spatial distribution. Geo-spatial Information Science. doi: 10.1080/10095020.2022.2028535.

Zhou, L., Shao, Z., Wang, S., & Huang, X. (2022). Deep learning-based local climate zone classification using Sentinel-1 SAR and Sentinel-2 multispectral imagery. Geo-spatial Information Science. doi: 10.1080/10095020.2022.2030654.

Zhang, H., Shao, Z., Sun, J., Huang, X., & Yang, J. (2022). An Extended Watershed-Based AHP Model for Flood Hazard Estimation: Constraining Runoff Converging Indicators via MFD-Derived Sub-Watershed by Maximum Zonal Statistical Method. Remote Sensing, 14(10), 2465.

Zhang, H., Shao, Z., Wu, W., Huang, X., Sun, J., Zhao, J., & Fan, Y. (2022). Comparing the Sensitivity of Pixel-Based and Sub-Watershed-Based Analytic Hierarchy Process to Weighting Criteria for Flood Hazard Estimation. Photogrammetric Engineering & Remote Sensing, doi: 10.14358/PERS.21-00087R2.

Cai, B., Shao, Z., Fang, S., Huang, X., Tang, Y., Zheng, M., & Zhang, H. The evolution of urban agglomerations in China and how it deviates from Zipf’s law. Geo-spatial Information Science (Accepted).

Ren, M., Park, S., Xu, Y., Huang, X., Zou, L., Wong, M., & Koh, S. (2022). Impact of the COVID-19 pandemic on travel patterns: a case study of domestic inbound travelers in Jeju, Korea. Tourism Management, doi: 10.1016/j.tourman.2022.104533.

Cheng, G., Shao, Z., Wang, J., Huang, X., & Dang, C. (2022). Dual-branch Multi-level Feature Aggregation Network for Pansharpening, IEEE/CAA Journal of Automatica Sinica (Accepted).

Cai, B., Shao, Z., Fang, S., & Huang, X. (2022). Quantifying dynamic coupling coordination degree of human-environmental interactions during urban-rural transitions of China, Land, doi: 10.3390/land11060935.

Johnson, I., Sharman, G., Szymanski, E., & Huang, X. (2022). Machine learning applied to a modern-Pleistocene petrographic dataset: The global prediction of sand modal composition (GloPrSM) model, Journal of Geophysical Research: Earth Surface, doi: 0.1029/2022JF006595.

Li, H., Mao, D., Li, X., Wang, Z., Jia, M., Huang, X., & Xiang, H. (2022). Understanding the contrasting effects of policy-driven ecosystem conservation projects in northeastern China. Ecological Indicators, 135, 108578.

Ning, H., Li, Z., Wang, C., Hodgson, M., Huang, X., & Li, X. (2022). Converting street view images to land cover maps for metric mapping: a case study on sidewalk network extraction for wheelchair users. Computers, Environment and Urban Systems. doi: 10.1016/j.compenvurbsys.2022.101808.

Faisal, A. A., Kafy, A. A., Fattah, A., Jahir, A., Md, D., Al Rakib, A., ... & Huang, X. (2022). Assessment of temporal shifting of PM2. 5, lockdown effect, and influences of seasonal meteorological factors over the fastest-growing megacity, Dhaka. Spatial Information Research. doi: 10.1007/s41324-022-00441-w.
 

Huang, X.†, Zhu, D., Zhang, F., Liu, T., Li, X., & Zou, L (2021). Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi: 10.1109/JSTARS.2021.3076630.

Huang, X.†, Lu, J., Gao, S., Wang, S., Liu, Z., & Han, X. (2021). Staying at home is a privilege: evidence from fine-grained mobile phone location data in the U.S. during the COVID-19 pandemic. Annals of American Association of Geographers. doi: 10.1080/24694452.2021.1904819.

Huang, X.†, Li, Z., Jiang, Y., Ye, X., Deng, C. Zhang, J., & Li, X. (2021). The Characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic. International Journal of Digital Earth. doi:10.1080/17538947.2021.1886358.

Li, Z., Huang, X., Ye, X., Jiang, Y., Yago, M., & Hodgson, M. (2021). Measuring global multi-scale place connectivity using geotagged social media data. Scientific Reports. doi: 10.1038/s41598-021-94300-7.

Li, Z., Huang, X., Hu, T., Ning, H., Ye, X., Huang, B., & Li, X. ODT FLOW: Extracting, Analyzing, and Sharing Multi-source Multi-scale Human mobility. PLOS ONE. doi: 10.1371/journal.pone.0255259.

Xu, D., Huang, X., & Li, Z. Multi-Exit Evacuation Simulation based on Deep Reinforcement Learning. (2021). Transactions in GIS. doi: 10.1111/tgis.12738.

Jiang, Y., Huang, X., Li, Z. (2021). Spatiotemporal patterns of human mobility and its association with land use types during the COVID-19 in New York City using Twitter data. ISPRS International Journal of Geo-Information. doi: 10.3390/ijgi10050344.

Wang, P., Huang, X., Mango, J., Zhang, D., Xu, D., & Li, X. (2021). A hybrid population distribution prediction approach integrating LSTM and CA models with micro spatiotemporal granularity: a case study of Chongming District, Shanghai. ISPRS International Journal of Geo-Information. doi: 10.3390/ijgi10080544.

Shao, Z., Tang, Y., Huang, X., & Li, D. (2021). Monitoring Work Resumption of Wuhan in the COVID-19 Epidemic Using Daily Nighttime Light. Photogrammetric Engineering & Remote Sensing, 87(3), 195-204.

Peng, S., Shao, Z., Huang, X., Zhu, Y., Zhang, R., & Zha, J. (2021). BiCSNet: A Novel Bidirectional Cross-Scale Backbone for Recognition and Localization. IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2021.3138743.

Li, Y., Shao, Z., Huang, X., Peng, S., & Cai, B. (2021). Meta-FSEO: a meta-learning fast adaptation with self-supervised embedding optimization for few-shot remote sensing scene classification. Remote Sensing, 13(14), 2776.

Ding, Q., Shao, Z., Huang, X., & Altan, O. (2021). DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images, International Journal of Applied Earth Observation and Geoinformation. doi: 10.1016/j.jag.2021.102591.

Lv, X., Shao, Z., Huang, X., Zhou, W., Ming, D., Wang, J., & Tong C. (2021). BTS: a binary tree sampling strategy for object identification based on deep learning. International Journal of Geographical Information Science. doi: 10.1080/13658816.2021.1980883.

Zhang, S., Shao, Z., Huang, X., Bai, L., & Wang, J. (2021). An internal-external optimized convolutional neural network for arbitrary oriented object detection from optical remote sensing images. Geo-spatial Information Science. doi: 10.1080/10095020.2021.1972772.

Dang, C., Shao, Z., Huang, X., Qian, J., Cheng, G., Ding, Q., & Fan, Y. (2021) Assessment of impact of increasing temperature and decreasing soil moisture on global ecosystem productivity using solar-induced chlorophyll fluorescence. Global Change Biology. doi: 10.1111/gcb.16043

Ding, Q., Shao, Z., Huang, X., & Altan, O. (2021). Monitoring, analyzing, and predicting urban surface subsidence: a case study of Wuhan City, China. International Journal of Applied Earth Observation and Geoinformation, doi.org/10.1016/j.jag.2021.102422.

Wang, J., Shao, Z., Huang, X., Lu, T., & Zhang, R. (2021). A dual-path fusion network for pan-sharpening. IEEE Transactions on Geoscienes and Remote Sensing. doi: 10.1109/TGRS.2021.3090585.

Hu, B., Xu, Y., Huang, X., Cheng, Q., Ding, Q., & Li, Y. (2021). Improving urban land cover classification with combined use of Sentinel-2 and Sentinel-1 data. ISPRS International Journal of Geo-information. doi: 10.3390/ijgi10080533.

 

Wang, J., Shao, Z., Huang, X., Lu, T., Zhang, R., & Ma, J. (2021). Enhnaced image prior for unsupervised remote sensing super-resolution. Neural Networks, doi: 10.1016/j.neunet.2021.06.005.

Li, X., Ning, H., Huang, X., Dadashova, B., Kang, Y., & Ma, A. (2021). Intersection Audit: An Effective Protocol to Identify Signalized Intersections by Mining Street View Images, Cartography and Geographic Information Science, doi: 10.1080/15230406.2021.1992299.

Tang, Y., Shao, Z., Huang, X., & Cai, B. (2021). Mapping Impervious Surface Areas using Time-series Nighttime Light Data and MODIS Products. Remote Sensing, 13(10). doi: 10.3390/rs13101900.

Wang, Z., Shao, Z., Huang, X., Wang, J., & Lu, T. (2021). Spatial-spectral cross attention network for hyperspectral image denoising. SSCAN: A Spatial-Spectral Cross Attention Network for Hyperspectral Image Denoising. IEEE Geoscience and Remote Sensing Letters. doi: 10.1109/LGRS.2021.3112038.

Wang, J., Shao, Z., Huang, X., Lu, T., Zhang, R., & Lv, X. (2021). Spatio-temporal pooling for action recognition in videos. Neurocomputing. doi: 10.1016/j.neucom.2021.04.071.

Li, C., Shao, Z., Zhang, L., Huang, X., & Zhang, M. (2021). A comparative analysis of index-based methods for impervious surface extraction using multi-seasonal Sentinel-2 satellite data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi: 10.1109/JSTARS.2021.3067325.

Zhuang, Q., Shao, Z., Huang, X., Zhang, Y., Wu, W., Feng, X., Lv, X., Ding, Q., Cai, B., & Altan, O. (2021). Evolution of soil salinization under the background of landscape patterns in the irrigated northern slopes of Tianshan Mountains, Xinjiang, China. CATENA. doi: 10.1016/j.catena.2021.105561.

Shao, Z., Zhou, Z., Huang, X., & Zhang, Y. (2021). MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images. Remote Sensing, 13(2), 239. doi:10.3390/rs13020239.

Martin, Y., Li, Z., Ge, Y., & Huang, X. (2021). Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level. Social Sciences. doi:10.3390/socsci10060227.

Cai, B., Shao, Z., Fang, S., Huang, X., Huq, M., Tang, Y., Li, Y., Zhuang, Q. (2021). Finer-scale spatiotemporal coupling coordinate model between socioeconomic activity and eco-environment: a case study of Beijing, China. Ecological Indicators. doi: 10.1016/j.ecolind.2021.108165.

Li, X., Xu, H, Huang, X., Guo, C., Kang, Y., & Ye, X. (2021). Emerging Urban-Geo Data Sources to Reveal Human Mobility Dynamics During the COVID-19 Pandemic: Opportunities and Challenges. Computational Urban Sciences. doi: 10.1007/s43762-021-00022-x.

Shao, Z., Cheng, G., Li, D., Huang, X., Lu, Z. & Liu, J. (2021). Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicles for better urban mapping. Geo-spatial Information Science. doi: 10.1080/10095020.2021.1961567.

Liu, Z., Zhang, A., Yao, Y., Shi, W., Huang, X., & Shen, X. (2021). Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data. International Journal of Geographical Information Science, 35(3), 609-627.

Kupfer, J., Li, Z., Ning, H., & Huang, X. (2021). Using big data to track the effects of the COVID-19 pandemic on national park visitation. International Journal of Geo-information. doi: 10.3390/su13169366.

Shao, Z., Wang, J., Lu, T., Zhang, R., Huang, X., & Lv, X. (2021). Internal and External Spatial-temporal Constraints for Person Reidentification. Journal of Visual Communication and Image Representation. doi: 10.1016/j.jvcir.2021.103302.

Zhang, R., Newsam, S., Shao, Z., Huang, X., Wang, J. & Li, D. (2021). Multi­Scale Adversarial Network for Vehicle Detection in UAV Imagery. ISPRS Journal of Photogrammetry and Remote Sensing. doi:10.1016/j.isprsjprs.2021.08.002.

Hu, T., Wang, S., Luo, W., Zhang, M., Huang, X., Yan, Y., Liu, R., Ly, K., Kacker, V., She, B., Li, Z. (2021). Revealing public opinion towards COVID-19 vaccines with Twitter data in the United States: a spatiotemporal perspective. Journal of Medical Internet Research. doi: 10.2196/30854.

Hu, T., Wang, S.*, She, B., Zhang, M., Huang, X.†, Cui, Y., Khuri, J., Hu, Y., Fu, X., Wang, X., Wang, P., Zhu, X., Bao, S., Guan, W., Li, Z. (2021). Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. International Journal of Digital Earth, doi: 10.1080/17538947.2021.1952324.

Ning, H., Ye, X., Wang, S., Li, Z., Wang, W., & Huang, X. (2021). Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation. International Journal of Geographical Information Science. doi: 10.1080/13658816.2021.1981334.

Shao, Z., Feng, X., Bai, L., Jiao, H., Zhang, Y., Li, D., ... & Saleem, N. (2021). Monitoring and Predicting Desert Locust Plague Severity in Asia–Africa Using Multisource Remote Sensing Time-Series Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8638-8652.

Huang, X., Li, Z., Jiang, Y., Li, X., & Porter, D. (2020). Twitter reveals human mobility dynamics during the COVID-19 pandemic. PLOS ONE, 15(11), e0241957.

Huang, X.†, Li, Z., Lu, J., Wang, S., Wei, H., & Chen, B. (2020). Time-series clustering for home dwell time during COVID-19: what can we learn from it?. ISPRS International Journal of Geo-Information, 9(11), 675.

Huang, X.†, & Wang, C. (2020). Estimates of exposure to the 100-year floods in the conterminous United States using national building footprints. International Journal of Disaster Risk Reduction, doi: 10.1016/j.ijdrr.2020.101731.

Huang, X., Wang, C., Li, Z., & Ning, H. (2020). A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints. Big Earth Data, 10.1080/20964471.2020.1776200.

Xu, D., Huang, X., Li, Z., & Li, X. (2020). Local Motion Simulation using Deep Reinforcement Learning, Transactions in GIS, doi: 10.1111/tgis.12620. 

Ning, H., Huang, X., Wang, C., & Li, Z. (2020). Detection new building construction in urban areas based on images of small unmanned aerial system. Papers in Applied Geography, doi: 10.1080/23754931.2019.1707108.

Zhang, R., Shao, Z., Huang, X., Wang, J., & Li, D. (2020). Object Detection in UAV Images via Global Density Fused Convolutional Network. Remote Sensing, 12(19), 3140.

Lu, J., Carbone, G. J., Huang, X., Lackstrom, K., & Gao, P. (2020). Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950–2016. Agricultural and Forest Meteorology, 292, 108124.

Huang, X.†, Wang, C. Lu, J., & Ning, H. (2019). Understanding spatiotemporal development of human settlement in hurricane-prone areas on U.S. Atlantic and Gulf Coasts using nighttime remote sensing, Natural Hazards and Earth System Sciences, doi: 10.5194/nhess-19-2141-2019.

Huang, X.†, Wang, C. Li, Z., & Ning, H. (2019). Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture. International Journal of Digital Earth, doi: 10.1080/17538947.2019.1633425.

Huang, X.†, Wang, C. Li, Z., & Ning, H. (2018). A visual-textual fused approach to automated tagging of flood-related tweets during a flood event. International Journal of Digital Earth, doi: 10.1080/17538947.2018.1523956.

Huang, X.†, Wang, C., & Li, Z. (2018). Reconstructing flood inundation probability by enhancing near real-time imagery with real-time gauges and tweets. IEEE Transactions on Geoscience and Remote Sensing, 56(8), 4691-4701.

Huang, X.†, Wang, C., & Li, Z. (2018). A near real-time flood-mapping approach by integrating social media and post-event satellite imagery. Annals of GIS, 24(2), 113-123.

Wang, C., Li, Z., & Huang, X. (2018). Geospatial Assessment of Wetness Dynamics in the October 2015 SC Flood with Remote Sensing and Social Media. Southeastern Geographer, 58(2), 164-180.

Li, H., Wang, C., Huang, X., & Hug, A. (2018). Spatial Assessment of Water Quality with Urbanization in 2007–2015, Shanghai, China. Remote Sensing, 10(7), 1024.

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2019

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Book Chapters (published: #5)

Huang, X., Zhang, R., Li, X., Dadashova, B., Zhu, L., Zhang, K., Li, Y., & Shen, B. “Health-based geographic information system for mapping and risk modeling of infectious diseases and COVID-19 to support spatial decision making”. In Translational Informatics -Prevention and Treatment of Viral Infections. Springer, Singapore, doi: 10.1007/978-981-16-8969-7_8.

Huang, X., Wang, S., & Li, X. “The inequities in the United States during the COVID-19 pandemic”. In The Geographies of COVID019—Geospatial Stories of a Global Pandemic. Springer Cham, doi: 10.1007/978-3-031-11775-6_8.

Huang, X., Li, X., Yang, D., Zou, L. Challenges and opportunities of crowdsourcing geospatial data in Earth and human observations. In GeoInformatics for Geosciences Advanced Geospatial Analysis using RS, GIS & Soft Computing (In press)

Young, S. G., Datta, J., Kar, B., Huang, X., Williamson, M. D., Tullis, J. A. & Cothren, J. “Challenges and limitations of geospatial data and analyses in the context of COVID-19”. In Mapping COVID-19 in Space and Time (pp. 65-76). Springer, Cham, doi: 10.1007/978-3-030-72808-3_8.

Huang, X., Wang, C., Li, Z., & Ning, H. A visual–textual fused approach to automated tagging of flood-related tweets during a flood event. In Social Sensing and Big Data Computing for Disaster Management. Routledge, doi: 10.4324/9781003106494-4.

2021

2022

2020

 

Proceedings (published: #5)

Wang, J., Shao, Z., Huang, X., Lu, T., Zhang, R. & Wang, Z. (2021). Unsupervised Remote Sensing Super-Resolution via Migration Image Prior. IEEE International Conference on Multimedia and Expo (ICME) 2021. 10.1109/ICME51207.2021.9428093.

Wang, J., Shao, Z., Huang, X., Lu, T. & Zhang, R. (2021). Pan-sharpening via high-pass modification convolutional neural network. IEEE International Conference on Image Processing (ICIP) (In production).

Huang, X.†, Xu, D., Li, Z., & Wang, C. (2020). Translating multispectral imagery to nighttime imagery via conditional generative network. 2019 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 6758-6761, doi: 10.1109/IGARSS39084.2020.9323669.

Huang, X.†, Wang, C., & Li, Z. (2019). Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping. Proceedings of the International Cartographic Association, 2, 45, doi: 10.5194/ica-proc-2-45-2019.

Huang, X.†, Wang, C, & Li, Z. (2019). High-Resolution Population Grid in the CONUS using Microsoft Building Footprints: A Feasibility Study. Proceedings of the 3rd ACM SIGSPTIAL Workshop on Geospatial Humanities, doi: 10.1145/3356991.3365469.

Huang, X.†, & Wang, C. (2019). Human settlement dynamics in hurricane-prone zones of CONUS: view from nighttime remote sensing perspective. 2019 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS.2019.8899106.

2021

2020

2019

 

Others (published: #3)

2020

2019

2017

Huang, X.† (2020). Remote Sensing and Social Sensing for Improved Flood Awareness and Exposure Analysis in the Big Data Era. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/585.

Huang, X.† (2019). The fusion of remote sensing and social sensing in rapid flood mapping: motivation, opportunities and challenges, U.S. National Report (U.S. National Committee for the International Cartographic Association): https://cartogis.org/usnc-ica/us-national-report/.

Huang, X.† (2017). A Future Energy Harvesting Scenario for Georgia Tech Campus Using Photovoltaic Solar Panels and Piezoelectric Materials. MS-GIST Capstone Paper, Georgia Institute of Technology.