The Spectral Irradiance of the Moon

By Hugh H. Kieffer, Thomas C. Stone. 2005

419 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Atmospheric Science

View Paper: https://www.semanticscholar.org/paper/7bd7e5f41e1113bd47dd616d71cde1fd2d546546

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. V. Hamilton
2. Philip R. Christensen
3. J. Bandfield
4. William Bottke
5. Mark S. Robinson
6. A. Boyd
7. H. Sato
8. B. Denevi

In Astronomy and Astrophysics

1. V. Hamilton
2. Kevin J. Walsh
3. Philip R. Christensen
4. J. Bandfield
5. William Bottke
6. R. Binzel
7. M. Delbo’
8. Michael D. Smith

In Atmospheric Science

1. Kevin J. Walsh
2. V. Hamilton
3. Seiji Kato
4. David R. Doelling
5. J. Bandfield
6. Fred G. Rose
7. B. Denevi
8. Mark S. Robinson

Citations in the corpus

• Properties of rubble-pile asteroid (101955) Bennu from OSIRIS-REx imaging and thermal analysis (2019, methodology): “We compare these images, taken with each of the cameras and with each of MapCam’s filters, with images taken by the RObotic Lunar Observatory (ROLO [54]).”
• The new sun-sky-lunar Cimel CE318-T multiband photometer-a comprehensive performance evaluation (2015, methodology): “I0,λ is calculated using the ROLO model (Kieffer and Stone, 2005). κλ constant strictly accounts for the instrument’s photometric responsivity and any residual systematic offset difference between ROLO-predicted I0,λ and the real exoatmospheric irradiance.”
• VIIRS on‐orbit calibration methodology and performance (2014, methodology): “Together with lunar irradiance predicated by the United States Geological Survey Robotic Observatory Lunar Observatory model, a band-averaged lunar F factor can be derived [Kieffer and Stone, 2005; Sun et al., 2012].”
• Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (2013, background): “, [11,12]), and convolving this spectra with the DNB spectral response function, one can calculate the scene reflectance and thereby relate the radiance measurements to physical properties of the scene in a way analogous to daytime measurements.”
• Resolved Hapke parameter maps of the Moon (2014, methodology): “…range of i. Multitemporal Earth-based observations provide repeated reflectance measurements over a range of i, but the variation of e is limited to a few degrees at any given location on the nearside [Kieffer and Wildey, 1996; Kieffer and Stone, 2005; Saiki et al., 2008; Velikodsky et al., 2011].”
• An advanced scattered moonlight model for Cerro Paranal (2013, methodology): “There are several advantages of our new moon model: •More physical than previous models (Krisciunas & Schaefer 1991; Noll et al. 2012) Uses a fit for the lunar albedo based on more than 100,000 observations of the Moon (Kieffer & Stone 2005) Uses fully 3-”
• Suomi NPP VIIRS day‐night band on‐orbit performance (2013, methodology): “The path radiance was calculated with MODTRAN5 but scaled using the extraterrestrial lunar irradiance calculated from the Robotic Lunar Observatory (ROLO) lunar model [Kieffer and Stone, 2005].”
• Achieving Climate Change Absolute Accuracy in Orbit (2013, methodology): “Finally, any future improvements in the absolute refl ectance of the lunar surface can be used to tie the CLARREO solar spectrometer results to future improvements in calibration beyond CLARREO, even should these improvements come 10 or even 30 years from now (Kieffer 1997; Kieffer and Stone 2005).”