Senior Research Manager
Research Topics & Areas of Expertise
Geographic Information Systems (GIS), Remote Sensing, Spatial Modeling, and Data Mining for urban and environmental analysis and planning. Some of my recent research has focused on mapping urban land cover (green space, impervious surfaces, etc.) and monitoring forest health using fine resolution satellite imagery.
Education
Ph.D. in Geosciences, Florida Atlantic University, USA (2012).
M.A. in Geography, Florida Atlantic University, USA (2007).
Results 161 to 170 of 177 (Sorted by date)
Peer-reviewed Article
In In APN Science Bulletin, Asia-Pacific Network for Global Change Research
Fact Sheet
The current (2014) and future (2025) land cover maps were generated and analyzed for flood modelling. High resolution digital elevation model from LiDAR data was used to generate detailed terrain for accurate flood simulation. Findings from this study will be shared to the local governments to help make their land-use planning climate-sensitive.
Conference Paper
57th Autumn Conference of the Remote Sensing Society of Japan
In this study, we investigated trends in the use of remote sensing (RS) to address some major global environmental issues to see if it is being increasingly or decreasingly used to address each issue. We considered several land, water, air, and integrated Earth system issues. Of the 12 environmental issues we considered, there was an increasing...
Conference Paper
65th International Astronautical Congress
The goal of this research is to develop a method for quantitative and objective assessment of the effect of satellite Earth observations on environmental policy. For this purpose, as an initial case study, the protection of the ozone layer is taken up to analyze the different phases and processes where satellite observations might have had an...
Presentation
PEOIC Workshop: Quantitative methods for assessing the impact of satellite observations on environmental policy
This presentation discusses the impact of Earth Observation (EO) on the deforestation-/forest degradation-related science and policy.
Peer-reviewed Article
In International Journal of Applied Earth Observation and Geoinformation
In this study we tested the impacts of three fast pansharpening methods – Intensity-Hue-Saturation (IHS), Brovey Transform (BT), and Additive Wavelet Transform (AWT) – on the classification of sugarcane in a Landsat 8 image (bands 1-7), and proposed an ensemble pansharpening approach that combines the pixel-level information from the IHS and BT...
Data or Tool
UCI Machine Learning Repository
A data base used for automated mapping of urban land cover (trees, grass, soil, concrete, asphalt, buildings, etc.) in satellite or aerial imagery. Published in the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Urban+Land+Cover), the largest machine learning data base worldwide. Researchers can use the data set to learn...
Peer-reviewed Article
In ISPRS International Journal of Geo-Information
This study evaluated the effects of image pansharpening on Vegetation Indices (VIs) in an agricultural area of Thailand, and found that pansharpening was able to downscale single-date and multi-temporal VI data without introducing significant distortions. The downscaled (15m resolution) VI values can be used for estimating above-ground biomass...
Working Paper
During FY2013, PMO Knowledge Management undertook a study and pilot work to consider options for creating a visual map of where IGES is conducting its research activities which could serve as both an interactive outreach mechanism and an internal knowledge tool. This idea was also discussed with the Network and Outreach team who felt that this...
Data or Tool
UCI Machine Learning Repository
Data set for monitoring Japanese forest health using satellite imagery and machine learning techniques. Published in the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Wilt), the largest machine learning database worldwide. Researchers can use the data set to learn, develop, and improve methods for forest monitoring using...
Results 1 to 2 of 2 (Sorted by date)
Project
Updated: March 2025
Environment Research and Technology Development Fund 1CN-2206 (FY2022-2024) - Research on the national long-term roadmap to synergise mitigation and adaptation towards a net zero and resilient ASEAN
Towards the establishment of a net-zero and resilient ASEAN Community as indicated by the ASEAN Climate Vision 2050, IGES is conducting a study on the formulation of a long-term roadmap to promote integrated transition of mitigation and adaptation in...
Project
Updated: July 2026
The ASEAN Climate Change Strategic Action Plan 2025-2030 Project
The ASEAN Climate Change Strategic Action Plan (ACCSAP) 2025-2030 serves as the roadmap for addressing climate change in ASEAN up to 2030. IGES contributed to the development of the “ASEAN State of Climate Change Report (ASCCR)” in 2021, the first...