# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# overview
Dr. Lei Zou's research interests are mining geospatial Big Data to analyze and model human-environment interactions. He has involved in four National Science Foundation (NSF) funded projects and three projects funded by USGS, Louisiana Sea Grant, and Netherlands RAAK Public Grant. Increasingly frequent natural hazards and global environmental changes have posed huge challenges to the sustainability of human communities. Meanwhile, human behaviors are also changing the landscape and ecology of planet earth. Understanding the impacts and feedbacks between human and natural systems is the key to build a sustainable future for both systems. To build disaster resilience and long-term sustainability, his research focuses on (1) developing algorithms to derive practical indices from location-based social media data and utilizing those indices to enhance disaster resilience and emergency management; (2) applications of Deep Learning in automatic tagging and information extraction of social media data; (3) coupled natural-human system modeling for population dynamics, land loss and urban growth; and (4) developing estimation models of community resilience to multiple types of natural hazards.

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
Resilience Inference Measurement (rim) Model

# keywords[]
Geographical And Social Disparities In Disaster Resilience

# keywords[]
Eco-efficiency Of Cultivated Land Utilization

# keywords[]
Resilience Inference Measurement (rim) Model

# educationAndTraining[].organization.label
Chinese Academy of Sciences - (Beijing, Beijing, China)

# educationAndTraining[].organization.label
Louisiana State University - (Baton Rouge, Louisiana, United States)

# educationAndTraining[].organization.label
Louisiana State University - (Baton Rouge, Louisiana, United States)

# publications[].label
Editorial for the Special Issue: "Human-Environment Interactions Research Using Remote Sensing"

# publications[].label
Spatial-Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana

# publications[].label
Big Earth data for disaster risk reduction

# publications[].label
Understanding the Disparate Impacts of the 2021 Texas Winter Storm and Power Outages Through Mobile Phone Location Data and Nighttime Light Images

# publications[].label
MONITORING WATER QUALITY OF LAKE TAIHU FROM HJ-CCD DATA USING EMPIRICAL MODELS

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Critical Disaster Indicators (CDIs): Deriving the Duration, Damage Degree, and Recovery Level from Nighttime Light Image Time Series

# publications[].label
Validation of a synthetic chlorophyll index for remote estimates of chlorophyll-a in a turbid hypereutrophic lake

# publications[].label
Social media for emergency rescue: An analysis of rescue requests on Twitter during Hurricane Harvey

# publications[].label
Exploring the Spatial Autocorrelation in Soil Moisture Networks: Analysis of the Bias from Upscaling the Texas Soil Observation Network (TxSON)

# publications[].label
Collaboration Across Boundaries: Reflections on Studying the Sustainability of the Mississippi River Delta as a Coupled Natural-Human System

# publications[].label
Analyzing spectral characteristics of water involving in-situ multiangle polarized reflectance and extraction of water-leaving radiance

# publications[].label
Extending Resilience Assessment to Dynamic System Modeling: Perspectives on Human Dynamics and Climate Change Research

# publications[].publisher
Coastal Education and Research Foundation

# publications[].label
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT

# publications[].label
Twitter Use in Hurricane Isaac and Its Implications for Disaster Resilience

# publications[].label
Cyberinfrastructure and intelligent spatial decision support systems

# publications[].label
Incorporating neighborhood scale effects into land loss modeling using semivariograms

# publications[].label
Mining Twitter Data for Improved Understanding of Disaster Resilience

# publications[].label
A Study on Retrieval Algorithm of Black Water Aggregation in Taihu Lake Based on HJ-1 Satellite Images

# publications[].label
Assessing Community Resilience to Coastal Hazards in the Lower Mississippi River Basin

# publications[].label
Simulating the Spatial Impacts of a Coastal Barrier in Galveston Island, Texas: A Three-Dimensional Urban Modeling Approach.

# publications[].label
Changes in Exposure to Flood Hazards in the United States

# publications[].label
Assessing Social Vulnerability to Flood Hazards in the Dutch Province of Zeeland

# publications[].label
A Machine Learning Approach for Detecting Rescue Requests from Social Media

# publications[].label
Effects of landscape fragmentation on land loss

# publications[].label
Sensing the pulse of the pandemic: unveiling the geographical and demographic disparities of public sentiment toward COVID-19 through social media

# publications[].label
Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing

# publications[].label
Sensing Population Distribution from Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, and Systematic Biases

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Understanding the effects of natural hazards on chemical emission incidents using machine learning techniques

# publications[].label
Deciphering Spatial-Temporal Dynamics of Flood Exposure in the United States

# publications[].label
The relationship between the Normalized Difference Vegetation Index and drought indices in the South Central United States

# publications[].label
A COMPARATIVE ANALYSIS OF THE 'TRANSMITTANCE' METHOD BETWEEN USING INTEGRATING SPHERE AND FILTER HOLDERS FOR MEASURING LIGHT ABSORPTION BY AQUATIC PARTICLES

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Remotely sensed big data: evolution in model development for information extraction [point of view]

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Use of Twitter in disaster rescue: lessons learned from Hurricane Harvey

# publications[].label
Beyond big data: Social media challenges and opportunities for understanding social perception of energy

# publications[].label
A cyberinfrastructure for community resilience assessment and visualization

# publications[].label
A synthesis of disaster resilience measurement methods and indices

# publications[].label
Social and geographical disparities in Twitter use during Hurricane Harvey

# publications[].label
Economics over Risk: Flooding Is Not the Only Driving Factor of Migration Considerations on a Vulnerable Coast

# publications[].label
Emerging disparities in community resilience to drought hazard in south-central United States

# publications[].label
Impact of the COVID-19 pandemic on travel behavior: A case study of domestic inbound travelers in Jeju, Korea.

# publications[].label
Special issue on geospatial artificial intelligence.

# publications[].label
Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media

# publications[].label
Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects

# publications[].label
Modeling the Dynamics of Community Resilience to Coastal Hazards Using a Bayesian Network

# publications[].label
Improving social media use for disaster resilience: challenges and strategies

# publications[].label
Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model.

# publications[].label
Detecting Climate Change Deniers on Twitter Using a Deep Neural Network

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Evaluating Land Subsidence Rates and Their Implications for Land Loss in the Lower Mississippi River Basin

# publications[].label
Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018

# publications[].label
Drought indices as drought predictors in the south-central USA

# publications[].label
Overlooked voices under strict lockdown: mapping humanitarian needs in 2022 Shanghai COVID-19 outbreak

# publications[].label
Community Resilience to Drought Hazard in the South-Central United States

# researcherOn[].label
Reducing the Human Impacts of Flash Floods: Development of Microdata and Causal Model to Inform Mitigation and Preparedness

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)