PPT-Understanding Multispectral Reflectance

Remote sensing measures reflected light EMR Different materials reflect EMR differently Basis for distinguishing materials Reflectance Learning Objectives Be able to define reflectance qualitatively and quantitatively. The reflectance map depends both on the nature o the surface layers of th object being imaged and the distribution o light sources Recently a unified approach t the specification of surface reflectance in terms of both incident and reflected beam ge Ritva. A. Keski-Kuha, Charles W. Bowers, Manuel A. Quijada. NASA/Goddard Space Flight Center. James B. Heaney, SGT Inc. Greenbelt. Benjamin Gallagher, Ball. . Aerospace & Technologies Corp. Andrew McKay Northrop Grumman Aerospace Systems. Solar . Radiative. Kernel. s. And Applications. Zhonghai Jin. Constantine . Loukachine. Bruce . Wielicki. Xu. Liu. SSAI, Inc. / NASA . Langley research . Center. July 6-9, 2010. Objective:. . Introduce the reflected solar spectral kernels, their spectral characteristics, and the potential applications to CLARREO . Louisiana Moon Glint—Preliminary Review. 12 January 2014. Steve Miller. CSU/CIRA. Moon Glint Angle. Ocean Surface. θ. < ~30˚. θ. . G. lint Angle. θ. < ~10˚.  When the Moon-Satellite geometry is favorable, there is the possibility for brightening of the water surface from lunar reflectance, just as in the day.. Steve Miller . (. Steven.Miller@colostate.edu. ). Updated: 27 July 2012. Lunar Spectral Irradiance Model. Miller and Turner, 2009. IEEE Trans. . Geosci. . Rem. Sens., 47(7), 2316-2329. . A . lunar irradiance prediction model . Chemometrics. SPECTRAL EVOLUTION. www.spectralevolution.com. SPECTRAL EVOLUTION. www.spectralevolution.com. Incorporated 2004. Full line supplier of UV-VIS-NIR spectrometers for lab, inline process & field portable remote sensing. Seung. Hyun (Lucia) Woo. June 20. th. , 2013. Yale University. Outline . Negative Reflectance. Greater than 1 Reflectance. Cyan Pixels. Sensor Saturation. ENVI Service Pack 3 . Calibration Errors. Cirrus Band. and Model Performance. ATMS 792 – Remote Sensing. Outline. Data used / Domain of study . / Hypothesis. Model algorithm. How does this model perform for our region?. 2-D spatial . plots . Scatter . plots. Multiple scattering in cloud or aerosol layers. τ. =0. τ. =. τ. *. Fraction absorbed fraction transmitted fraction reflected = 1. REFLECTED. ABSORBED. TRANSMITTED. Direct & diffuse transmission. Eric . Vermote . et . al.. NASA . Goddard Space Flight Center Code . 619. Eric.f.vermote@nasa.gov.  .  . LCLUC Spring Meeting, April 12-14, Hilton, Rockville, MD. Home . page: . http://modis-sr.ltdri.org. 2. . NOAA/STAR; 3. UMBC JCET; 4. UMD ESSIC; 5. SRG. Introduction. Surface reflectance ratios are crucial to the VIIRS (Visible Infrared Imaging Radiometer Suite) aerosol optical thickness (AOT) retrieval over land for dark pixels.  Having better estimates of these ratios can improve AOT retrievals.  . Cody . Anderson*, . Dennis . Helder. *, and Jeff Czapla-Myers**. *USGS EROS, **University of Arizona. Level 2 Surface Reflectance Product Validation Thoughts. Surface Reflectance Validation Thoughts (1). (from: METRIC: Mapping Evapotranspiration at high Resolution using Internalized Calibration). University of Idaho, Kimberly, Idaho. University of Nebraska-Lincoln. Landsat – Polar Orbiting. A new image each 16 days. Carol J. Bruegge. Science driver: . The radiometric response of sensors change with time, and must be updated during the mission life. For example, Orbiting Carbon Observatory (OCO) requires 5% radiometric uncertainty in order to meet its XCO2 retrieval uncertainty of 1 ppm. Vicarious calibration provides this, but for sensors that view off-nadir, such as OCO, a necessary input is a model of the test site bi-directional reflectance factor (BRF)..