SvGe/o
Theme
002 / Research / Topics and Projects

Research

My research focuses on spatial and spatiotemporal data analysis, with an emphasis on mapping, visualization, knowledge extraction, and the development of analytical pipelines for complex geospatial data. Across different applications, I study how spatial patterns, temporal dynamics, and statistical structure can be modeled, harmonized, and interpreted for research and decision support. Current and recent work spans multidecadal land-use and land-cover dynamics, data harmonization, knowledge models and semantics, and planetary surface age estimation based on impact-crater statistics and spatial clustering.

R1 / Projects

Funded Projects / NCCU / Taiwan

Current work focuses on land-use and land-cover dynamics, ecosystem-service provision, rural transformation, and spatial decision support in Taiwan. Earlier and parallel work extends these analytical approaches to cartographic metadata, semantic models, and planetary surface studies.

R1.07
Analysis of Ecosystem Service Provision and Landscape Metrics for the Xinbei Metropolitan Area and their Dissemination in the Context of the Sustainable Development Goals Indicator Framework
National Science and Technology Council, Taiwan / #114-2410-H-004-169 / 2025-08–2026-07
Investigation of 25 years of urban expansion in the Taipei–Keelung–Taoyuan metropolitan region and its impacts on regulating ecosystem services, using satellite-image time series, deep-learning-based land-use and land-cover products, and standardized ecosystem-service and landscape metrics.
R1.06
Investigation into Ecosystem Service Provision Metrics and their Response to Urban Expansion Dynamics using a Remote-Sensing Data Deep-Learning Framework for the Xinbei Metropolitan Area between 1995 and 2020
National Science and Technology Council, Taiwan / #113-2410-H-004-194 / 2024-08–2026-01
Development of a deep-learning-based remote-sensing framework to quantify land-cover change and regulating ecosystem service provision in the Xinbei metropolitan area between 1995 and 2020.
R1.05
A Deep-Learning Approach to Evaluate Landslide Dynamics in Southern Taiwan: Application of Satellite Image Time Series (SITS) for Landslide Susceptibility Mapping and Vulnerability Assessments
National Science and Technology Council, Taiwan / #112-2410-H-004-142 / 2023-08–2025-01
This project applies deep learning to satellite image time series to monitor landslide dynamics in southern Taiwan, produce susceptibility maps, and assess physical vulnerability in hazard-prone areas of Kaohsiung.
R1.04
Tactile Environmental City Atlas for People with Vision Impairment using LCD 3D Print Technology
National Science and Technology Council, Taiwan / #110-2121-M-004-001 / 2021-08–2022-07
Development of a cartographic concept and prototype using LCD-based 3D printing technology for a tactile city atlas for people with vision impairment.
R1.03
WebGIS Prototype for the Evaluation of Urbanization Pressure and Urban Ecosystem Dynamics
National Science and Technology Council, Taiwan / #110-2410-H-004-186 / 2021-08–2022-07
Development of an open-source web map platform that uses spatiotemporal remote-sensing–based land-cover change data and landscape metrics to monitor urbanization impacts on ecosystems at medium spatial resolution.
R1.02
Monitoring of Urbanisation Dynamics in Taiwan between 1985 and 2020 -- An Investigation with Special Emphasis on the Dynamics of Land-Use Efficiency and the Impact on Urban Ecosystems using a Deep Learning Approach
National Science and Technology Council, Taiwan / #109-2410-H-004-193 / 2020-10–2021-09
Investigation into land-cover change and associated population dynamics between 1985 and 2020 in selected Taiwanese urban centers to understand how urban expansion affects urban ecosystems and land-use efficiency to assess sustainability trends and support regional planning, policy development, and ecosystem conservation.
R1.01
SLAMMP — Systematic LAndslide Monitoring and Mapping Prototype
Soil and Water Conservation Bureau (SWCB), Taiwan / 2018-01–2018-12
Drone-based Mapping Investigation of Mass-Wasting
山崩特徵監測與製圖系統之建置
R2 / Projects

Funded Projects / FU Berlin / Germany

Reseach projects related to data analysis and systematic processing of data for ongoing ESA/NASA mission participation, including surface studies.

R2.05
iMARS: Analysis of Mars multi-resolution images using auto-coregistration, data mining and crowd source techniques.
European Commission, EU-FP7 / ID: 607379 / 2013-12–2017-04
The iMars project focused on developing tools and value-added datasets to massively increase the exploitation of space-based data from NASA and ESA Mars mission imaging and 3D data beyond the PI teams. WebGIS development for the EU Project (Co-I). Details
R2.04
Discovery Mission Dawn — Geological Evolution of Vesta and Ceres (Framing Camera).
DLR Administration/BMWi / 50OW1505 / 2015-11–2018-01 (until 2016/04)
Framing Camera experiment data analysis and processing for NASA Dawn's observation of Ceres and Vesta (Proposer). Details
R2.03
Cassini-ISS Observation Planning and Systematic Data Analysis.
DLR Administration/BMWi / 50OH1503 / 2015-07–2019-12 (until 2016/04)
Science data analysis and planning for NASA Cassini's ISS observations of the Saturn system (Proposer). Details
R2.02
Cassini-Huygens-Mission: Imaging Science Subsystem (ISS) Experiment Participations.
DLR Administration/BMWi / 50OH1102 / 2011-01–2015-06
Science data analysis and planning for NASA Cassini's ISS observations of the Saturn system (Proposer). Details
R2.01
Mars Express — High Resolution Stereo Camera (HRSC): Systematic DataProcessing and Dissemination.
DLR Administration/BMWi / 50QM1301 / 2013-01–2016-12
Systematic data processing, image mosaicking and terrain model generation as well data dissemination and outreach for ESA' Mars Express HRSC experiment participation (Proposer). Details