Research
Geospatial Data Science: the science that investigates the 'where' and 'why' of various human and natural phenomena!
Research Overview
My research focuses on spatio-temporal data analysis, remote sensing, and environmental monitoring. I combine advanced geospatial technologies, remote sensing techniques, and environmental modeling to understand complex hydrological processes and their responses to climate variability. With over 25 peer-reviewed publications and experience at prestigious institutions including Peking University and Tsinghua University, I have developed expertise in cryosphere studies, global water cycle analysis, and inland water monitoring.
Research Areas
Remote Sensing & GIS
Processing, analyzing, and visualizing large-scale geospatial datasets using satellite imagery and geographic information systems.
- Satellite data processing and analysis
- Geospatial big data analytics
- Cloud-based platforms (Google Earth Engine)
Cryosphere Studies
Sea ice thickness and volume retrieval, snow cover analysis, and Antarctic/Arctic climate change using satellite altimetry and remote sensing.
- Sea ice thickness retrieval algorithms
- Snow cover phenology and dynamics
- Antarctic and Arctic climate change
- ICESat satellite data analysis
Global Water Cycle
Surface water mapping, hydrological data analysis, and water budget closure studies.
- Surface water dynamics
- Hydrological modeling
- Water temperature monitoring
Ecological Environment
Lake and river temperature, water quality, and aquatic ecosystem monitoring.
- Aquatic ecosystem health
- Water quality assessment
- Environmental impact analysis
Geospatial Big Data
Cloud-based analysis and high-performance computing for Earth science applications.
- Big data processing
- High-performance computing
- Machine learning applications
Socioeconomic Applications
Remote sensing for economic analysis, urbanization, and environmental impact assessment.
- Urban development monitoring
- Economic impact assessment
- Sustainable development
Current Projects
Mining spatio-temporal patterns of 40-year surface water temperature for lakes and rivers in the Pannonian ecoregion
Analysis of long-term water temperature trends and heatwaves in Central European lakes and rivers using remote sensing and big data analytics. This project aims to understand the impacts of climate change on aquatic ecosystems in the Pannonian region.
Retrieving key parameters of circum-Antarctic sea ice with altimeter satellites and their spatio-temporal changes
Development of algorithms for satellite altimetry to retrieve sea ice thickness and volume, and analysis of spatiotemporal variability in the Antarctic. This research contributes to understanding polar climate dynamics.
Retrieving Antarctic sea-ice thickness and volume from ICESat and spatio-temporal variability analysis
Spatiotemporal analysis of Antarctic sea-ice thickness and volume using ICESat satellite data and innovative retrieval algorithms. This work provides critical insights into polar climate change.
Research Methodology
My research integrates advanced remote sensing techniques, geospatial big data analytics, and cloud-based platforms such as Google Earth Engine. I develop and apply innovative algorithms for satellite data processing, high-performance computing for large-scale environmental datasets, and interdisciplinary collaboration across Earth science, hydrology, ecology, and socioeconomics.
Remote Sensing & Satellite Data Processing
Development of algorithms for satellite altimetry, multispectral and radar data analysis, and retrieval of environmental parameters (e.g., sea ice thickness, water temperature, snow cover).
Geospatial Big Data & Cloud Computing
Utilization of Google Earth Engine and high-performance computing for processing, analyzing, and visualizing large-scale geospatial datasets.
Interdisciplinary Collaboration
Combining expertise from remote sensing, hydrology, ecology, and economics to address complex environmental and climate change questions.
Research Facilities & Tools
My research leverages advanced computational and data resources, including:
Google Earth Engine
Cloud-based geospatial analysis platform for processing and visualizing large-scale remote sensing and environmental datasets.
High-Performance Computing Clusters
For large-scale data processing, algorithm development, and simulation of environmental and climate datasets.
Custom Software Tools
Development and deployment of interoperable software for satellite data analysis, water temperature monitoring, and geospatial visualization.