Tsuneo Matsunaga

Dr. Tsuneo Matsunaga

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Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 1998 in IEEE Transactions on Geoscience and Remote Sensing
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AGA. Gillespie
A. Gillespie
SRS. Rokugawa
S. Rokugawa
TMTsuneo Matsunaga
Tsuneo Matsunaga
JCJ.S. Cothern
J.S. Cothern
SHS. Hook
S. Hook
AKA.B. Kahle
A.B. Kahle
— The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scanner on NASA’s Earth Ob- serving System (EOS)-AM1 satellite (launch scheduled for 1998) will collect five bands of thermal infrared (TIR) data with a noise equivalent temperature difference (,)o f,0.3 Kt o estimate surface temperatures and emissivity spectra, especially over land, where emissivities are not known in advance. Tempera- ture/emissivity separation (TES) is difficult because there are five measurements but six unknowns. Various approaches have been used to constrain the extra degree of freedom. ASTER’s TES algorithm hybridizes three established algorithms, first estimating the normalized emissivities and then calculating emissivity band ratios. An empirical relationship predicts the minimum,emissivity from the spectral contrast of the ratioed values, permitting recov- ery of the emissivity spectrum. TES uses an iterative approach to remove reflected sky irradiance. Based on numerical simulation, TES should be able to recover temperatures within about,1.5 K and emissivities within about,0.015. Validation using airborne simulator images taken over playas and ponds in central Nevada demonstrates that, with proper atmospheric compensation, it is possible to meet the theoretical expectations. The main sources of uncertainty in the output temperature and emissivity images are the empirical relationship between emissivity values and spectral contrast, compensation for reflected sky irradiance, and ASTER’s precision, calibration, and atmospheric compensation. Index Terms— Algorithms, emission, image analysis, infrared

19 April 2019 in Science
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KKK. Kitazato
K. Kitazato
RMR. E. Milliken
R. E. Milliken
TIT. Iwata
T. Iwata
MAM. Abe
M. Abe
MOM. Ohtake
M. Ohtake
YTY. Tsuda
Y. Tsuda
Hayabusa2 at the asteroid Ryugu: Asteroids fall to Earth in the form of meteorites, but these provide little information about their origins. The Japanese mission Hayabusa2 is designed to collect samples directly from the surface of an asteroid and return them to Earth for laboratory analysis. Three papers in this issue describe the Hayabusa2 team's study of the near-Earth carbonaceous asteroid 162173 Ryugu, at which the spacecraft arrived in June 2018 (see the Perspective by Wurm). Watanabe et al. measured the asteroid's mass, shape, and density, showing that it is a “rubble pile” of loose rocks, formed into a spinning-top shape during a prior period of rapid spin. They also identified suitable landing sites for sample collection. Kitazato et al. used near-infrared spectroscopy to find ubiquitous hydrated minerals on the surface and compared Ryugu with known types of carbonaceous meteorite. Sugita et al. describe Ryugu's geological features and surface colors and combined results from all three papers to constrain the asteroid's formation process. Ryugu probably formed by reaccumulation of rubble ejected by impact from a larger asteroid. These results provide necessary context to understand the samples collected by Hayabusa2, which are expected to arrive on Earth in December 2020. Science , this issue p. 268 , p. 272 , p. 252 ; see also p. 230

1 September 2009 in Nature
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MOMakiko Ohtake
Makiko Ohtake
TMTsuneo Matsunaga
Tsuneo Matsunaga
JHJunichi Haruyama
Junichi Haruyama
YYYasuhiro Yokota
Yasuhiro Yokota
TMTomokatsu Morota
Tomokatsu Morota
JJJean-Luc Josset
Jean-Luc Josset
It has been thought that the lunar highland crust was formed by the crystallization and floatation of plagioclase from a global magma ocean1,2, although the actual generation mechanisms are still debated2,3. The composition of the lunar highland crust is therefore important for understanding the formation of such a magma ocean and the subsequent evolution of the Moon. The Multiband Imager4 on the Selenological and Engineering Explorer (SELENE)5 has a high spatial resolution of optimized spectral coverage, which should allow a clear view of the composition of the lunar crust. Here we report the global distribution of rocks of high plagioclase abundance (approaching 100 vol.%), using an unambiguous plagioclase absorption band recorded by the SELENE Multiband Imager. If the upper crust indeed consists of nearly 100 vol.% plagioclase, this is significantly higher than previous estimates of 82–92 vol.% (refs 2, 6, 7), providing a valuable constraint on models of lunar magma ocean evolution.

9 April 2008 in Earth, Planets and Space
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JHJunichi Haruyama
Junichi Haruyama
TMTsuneo Matsunaga
Tsuneo Matsunaga
MOMakiko Ohtake
Makiko Ohtake
TMTomokatsu Morota
Tomokatsu Morota
CHChikatoshi Honda
Chikatoshi Honda
LGLISM Working Group
LISM Working Group
The Moon is the nearest celestial body to the Earth. Understanding the Moon is the most important issue confronting geosciences and planetary sciences. Japan will launch the lunar polar orbiter SELENE (Kaguya) (Kato et al., 2007) in 2007 as the first mission of the Japanese long-term lunar exploration program and acquire data for scientific knowledge and possible utilization of the Moon. An optical sensing instrument called the Lunar Imager/Spectrometer (LISM) is loaded on SELENE. The LISM requirements for the SELENE project are intended to provide high-resolution digital imagery and spectroscopic data for the entire lunar surface, acquiring these data for scientific knowledge and possible utilization of the Moon. Actually, LISM was designed to include three specialized sub-instruments: a terrain camera (TC), a multi-band imager (MI), and a spectral profiler (SP). The TC is a high-resolution stereo camera with 10-m spatial resolution from a SELENE nominal altitude of 100 km and a stereo angle of 30° to provide stereo pairs from which digital terrain models (DTMs) with a height resolution of 20 m or better will be produced. The MI is a multi-spectral imager with four and five color bands with 20 m and 60 m spatial resolution in visible and near-infrared ranges, which will provide data to be used to distinguish the geological units in detail. The SP is a line spectral profiler with a 400-m-wide footprint and 300 spectral bands with 6–8 nm spectral resolution in the visible to near-infrared ranges. The SP data will be sufficiently powerful to identify the lunar surface’s mineral composition. Moreover, LISM will provide data with a spatial resolution, signal-to-noise ratio, and covered spectral range superior to that of past Earth-based and spacecraft-based observations. In addition to the hardware instrumentation, we have studied operation plans for global data acquisition within the limited total data volume allotment per day. Results show that the TC and MI can achieve global observations within the restrictions by sharing the TC and MI observation periods, adopting appropriate data compression, and executing necessary SELENE orbital plane change operations to ensure global coverage by MI. Pre-launch operation planning has resulted in possible global TC high-contrast imagery, TC stereoscopic imagery, and MI 9-band imagery in one nominal mission period. The SP will also acquire spectral line profiling data for nearly the entire lunar surface. The east-west interval of the SP strip data will be 3–4 km at the equator by the end of the mission and shorter at higher latitudes. We have proposed execution of SELENE roll cant operations three times during the nominal mission period to execute calibration site observations, and have reached agreement on this matter with the SELENE project. We present LISM global surface mapping experiments for instrumentation and operation plans. The ground processing systems and the data release plan for LISM data are discussed briefly.

4 July 2010 in Nature Geoscience
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SYSatoru Yamamoto
Satoru Yamamoto
RNRyosuke Nakamura
Ryosuke Nakamura
TMTsuneo Matsunaga
Tsuneo Matsunaga
YOYoshiko Ogawa
Yoshiko Ogawa
YIYoshiaki Ishihara
Yoshiaki Ishihara
JHJunichi Haruyama
Junichi Haruyama

12 November 2009 in Geophysical Research Letters
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JHJunichi Haruyama
Junichi Haruyama
KHKazuyuki Hioki
Kazuyuki Hioki
MSMotomaro Shirao
Motomaro Shirao
TMTomokatsu Morota
Tomokatsu Morota
HHHarald Hiesinger
Harald Hiesinger
CPCarle M. Pieters
Carle M. Pieters