Yuhei Yamamoto

Yuhei Yamamoto
Chiba University · Center for Environmental Remote Sensing (CEReS)

PhD

About

12
Publications
2,862
Reads
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204
Citations
Education
April 2016 - March 2019
Kyoto University
Field of study
  • Earth and Planetary Sciences
April 2014 - March 2016
Kyoto University
Field of study
  • Earth and Planetary Sciences

Publications

Publications (12)
Article
Full-text available
The land surface emissivity (LSE) in the thermal infrared (TIR) is an essential parameter in the retrieving the land surface temperature (LST) from space. This paper describes the LSE maps in TIR three bands (centered at 10.4, 11.2 and 12.4 μm) used for retrieving the LST from Himawari-8. Himawari-8, a next-generation geostationary satellite has hi...
Article
Understanding the spatiotemporal characteristics of land surface temperature (LST), a physical quantity that greatly contributes to the formation of urban thermal environment, is essential for constructing a sustainable urban environment. This study explores the relationship between urban space, atmospheric conditions, and diurnal change characteri...
Article
Full-text available
Recent advancements in new generation geostationary satellites have facilitated the application of their datasets to terrestrial monitoring. In this application, geolocation accuracy is an essential issue because land surfaces are generally heterogeneous. In the case of the Advanced Himawari Imager (AHI) onboard Himawari-8, geometric correction of...
Article
Full-text available
Himawari-8, a new-generation geostationary satellite, can retrieve sub-hourly land surface temperatures (LSTs) with moderate spatial resolution, providing a new scale for monitoring the thermal environment in Asia and Oceania. This study evaluated uncertainties of LSTs retrieved by three operational algorithms from Advanced Himawari Imager (AHI) da...
Article
Full-text available
Himawari-8/9 is a next-generation Japanese Geostationary Earth Orbit (GEO) meteorological satellite with an onboard sensor – the Advanced Himawari Imager (AHI). Because Himawari-8/9 AHI observe the Earth's hemispheres every 10 min with multiple spectral bands, AHI providing an unprecedented opportunity to facilitate its observation datasets are exp...
Article
Land-surface reflectance (LSR) is a basic physical retrieval in terrestrial monitoring. The potential for high-frequency surface product estimation was evident in third-generation Geostationary Earth Orbit (3rd-GEO) satellites, substantially improving spectral, spatial, and temporal resolutions. Intercomparisons with LSR products from Low Earth Orb...
Chapter
Satellite remote sensing provides land surface temperature (LST) data across entire urban areas, allowing for the quantification of the surface urban heat island (SUHI) in terms of both its “overall height” and “elevation distribution”. Such a quantified SUHI offers critical scientific evidence for sustainable urban development and heat mitigation...
Article
Full-text available
Dawn and dusk land surface temperature (LST) is important for constructing sub-daily LSTs and understanding diurnal temperature cycles. In this study, a dawn-dusk LST was developed using the Medium Resolution Spectral Imager-Low Light (MERSI-LL) instrument onboard Fengyun-3E (FY-3E). A temperature and emissivity separation (TES) algorithm was first...
Article
Full-text available
This paper provides the first attempt to investigate the spatial variability of diurnal change patterns of land surface temperature (LST) in urban areas of Japan by applying principal component analysis on LST data retrieved from Himawari-8 geostationary satellite data. The Tokyo and Osaka metropolitan areas were the focus of the analysis, and the...
Article
Full-text available
This paper presents a method to estimate the land surface temperature (LST) from Himawari-8 data. The Advanced Himawari Imager (AHI) onboard Himawari-8 has three thermal infrared bands in the spectral range of 10–12.5 μm. We developed a nonlinear three-band algorithm (NTB) that makes the best use of these bands to estimate the LST. The formula of t...

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