M
Masayuki Tamura
Researcher at National Institute for Environmental Studies
Publications - 45
Citations - 3011
Masayuki Tamura is an academic researcher from National Institute for Environmental Studies. The author has contributed to research in topics: Thematic Mapper & Coral bleaching. The author has an hindex of 18, co-authored 42 publications receiving 2571 citations. Previous affiliations of Masayuki Tamura include Centre national de la recherche scientifique.
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A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
TL;DR: In this article, the Savitzky-Golay filter was used to smooth out noise in NDVI time-series, specifically that caused primarily by cloud contamination and atmospheric variability.
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Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data
TL;DR: In this paper, laboratory measurement confirmed a relationship between leaf water status and the normalized difference water index (NDWI), derived from near-infrared and short-waveinfrared spectral data, and developed a vegetation dryness index (VDI) to estimate global vegetation water content.
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Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia
TL;DR: In this paper, a method of integrating remotely sensed data with an ecosystem model to estimate net primary productivity (NPP) in East Asia is described, and a map showing the distribution of annual NPP in 1998 and calculated that the mean NPP for that area in that year was 634 g C/m2/year.
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Spatial Fourier transform method of measuring reflection coefficients at oblique incidence. I: Theory and numerical examples
TL;DR: In this paper, a new method using spatial Fourier transform has been developed to measure reflection coefficients at oblique incidence, which involves the measurement of complex pressure distributions on two parallel planes lying close to the surface of a test material.
Journal Article
Assessment of the Urban Development Plan of Beijing by Using a CA-Based Urban Growth Model
TL;DR: In this paper, a CA-based model was developed to emulate Beijing's growth before 1997 and simulate possible change scenarios for the future, and an adaptive Monte Carlo method was used to automate the calibration of factor weights used in the CA transitional rules.