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 171 to 177 of 177 (Sorted by date)
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...
Commissioned Report
Issue Brief
Conference Paper
The 55th Autumn Conference of the Remote Sensing Society of Japan
A new pansharpening method was developed and applied to Landsat 8’s multispectral image bands. It involves adding two new terms to the commonly-used Fast Intensity-Saturation-Hue (FIHS) algorithm: a trend-based modulation factor, and a band modulation factor. The proposed method was tested on an urban study area in Yokohama, Japan and an...
Conference Paper
Asian Conference on Remote Sensing (2013). Bali, Indonesia, 20-24 October.
This study proposed a method to remove clouds from MODIS 250 meter, 8-day composite imagery for global land studies.
Peer-reviewed Article
In ISPRS Journal of Photogrammetry and Remote Sensing
In this study, a multi-scale approach was used for mapping land cover in a high resolution image of an urban area. Pixels and image segments were assigned the spectral, texture, size, and shape information of their super-objects (i.e. the segments that they are located within) from coarser segmentations of the same scene, and this set of super...
Peer-reviewed Article
In International Journal of Remote Sensing
We developed a multiscale object-based classification method for detecting diseased trees (Japanese Oak Wilt and Japanese Pine Wilt) in high-resolution multispectral satellite imagery. The proposed method involved (1) a hybrid intensity–hue– saturation smoothing filter-based intensity modulation (IHS-SFIM) pansharpening approach to obtain more...
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...