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We developed a method for mapping residential areas using freely available satellite imagery. The resultant residential area map can be used for risk assessment (e.g. to estimate the population living in a flood-prone area). Our method can be applied for flood risk assessment in other watersheds in the future.

This paper demonstrates the importance of considering scale issues when estimating the accuracy of land use/land cover maps, particularly when satellite images having different spatial resolutions (i.e. pixel sizes) are used in combination to generate the land use/land cover maps. The results are important for creators and users of these types of...

This study provides a computationally-simple method to annually update existing national forest maps and model future forest change. It involves integrating national forest maps and global tree cover maps to monitor annual forest change, and then modeling future change by linear extrapolation of the historical trend.

A remote sensing-based method was developed for mapping debris-covered glaciers. It is significant because it is difficult to get an accurate estimate of glacier extent in areas with rocky debris, but accurate glacier maps are important for monitoring impacts of climate change and for water resource management in arid regions.

This research report has been prepared to provide an overview of the Japan 2050 Low Carbon Navigator (Low Carbon Navigator), how it works, and what its assumptions are. Section I introduces the Low Carbon Navigator to the audience, providing the background of the initiative as well as a description of the model. Section II explains the fundamental...

A new method was developed for mapping forest, agricultural, and urban land cover using remote sensing imagery. It is designed to better detect small land cover objects (e.g. small forest or agricultural patches) and monitor their change (e.g. fine-scale deforestation) using freely-available satellite imagery.