CSEAS> Archives > About Staff： Retired or resigned researchers in last few years >KOBAYASHI, Shoko (G-COE Researcher)

About Staff: Retired or resigned researchers in last few years

KOBAYASHI, Shoko

G-COE Researcher
Division of Humans and the Environment
Environmental Science
Ph. D. (Bioresources), Graduate School of Bioresources, Mie University, 2008

Current Research Interests

Spatiotemporal Analysis of Remote Sensing Data using GIS
Environmental Monitoring & Assessment

My major research topic is “environmental analysis using GIS (Geographical Information System) and Satellite Remote Sensing”. Satellite data can provide information about not only ground surface (reflectance, evaporation, land-use/land-cover), but also about water surface (water quality, sea surface temperature) and atmosphere (stratospheric ozone). This is strongly beneficial and essential for monitoring, assessment or modelling the environmental ecosystems. The analysis of satellite data on GIS platform constitutes the main part of my research, because GIS enables to deal with various data including ground-based observation, on-survey investigation data, air-photo and a broad range of digital and statistical data. I will try to implement time-spatial and statistical analyses of those data in a comprehensive manner, so as to perform interdisciplinary investigation in figuring out the state of, and changes in the environment, and in assessing the environmental impacts, both at the local and the global scales.

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Research Activities in 2008-2009 Fiscal Year

Publications

Kobayashi S.; and Sanga-Ngoie K. (2008a) “The integrated radiometric correction of optical remote sensing imageries”, International Journal of Remote Sensing (in Press).

Kobayashi S.; and Sanga-Ngoie K. (2008b) “A Comparative study of radiometric correction methods for optical remote sensing imageries: the IRC vs other image-based C-correction methods”, International Journal of Remote Sensing　(in Press).

Sanga-Ngoie K.; and Kobayashi S. (2008) “Assessment of the Integrated Radiometric Correction (IRC) method by comparison with prior image-based methods for optical remote sensing data”, Proceedings of the 44th Spring Conference of the Remote Sensing Society of Japan, (accepted).

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