PPT-Radiometry and reflectance

15463 15663 15862 Computational Photography Fall 2018 Lecture 16 httpgraphicscscmueducourses15463 Homework 4 is still ongoing Any questions I will try to go over project ideas tonight. source sensor surface element normal brPage 3br BRDF Bidirectional Reflectance Distribution Function T I source viewing direction surface element normal incident direction I T I T surface I T surface I T Irradiance at Surface in direction I T Radian 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 01:. Radiometry. The big picture . Measuring light coming from a light source. Measurements for a “2D world”. Generalization to 3D. Measuring light falling onto a patch: Irradiance. Measuring light leaving a patch: . 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. Principles & Practice of Remote . Sensing. EM . Radiation (. ii). Dr. Mathias (Mat) Disney. UCL Geography. Office: 113, Pearson Building. Tel: 7679 0592. Email: mdisney@ucl.geog.ac.uk. http://www2.geog.ucl.ac.uk/~mdisney/teaching/GEOGG141/GEOGG141.html. Intercomparisons. Lessons Learned. K. Thome. 1. , N. Fox. 2. 1. NASA/GSFC , . 2. National Physical Laboratory. Summarize lessons learned during joint field campaigns to . Tuz. . Golu. , Turkey. 10 countries and 13 organizations. 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.. 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.. 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.  . Chengquan. Huang. 1,2. . Min Feng. 1,2. , . Joseph O. . Sexton. 1,2. , . Raghuram. . Narasimhan. 1,2. , . Saurabh. . Channan. 1,2. , Jeff . Masek. 3. , Eric . Vermote. 2. , . Feng. Gao. 4. , John Townshend. 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.  . GOES-R Algorithm Working Group Aerosol, Atmospheric Chemistry and Air Quality (AAA) Application Team. 1. Presentations. Suspended Matter/Aerosol Optical Depth Algorithm – . Istvan. Laszlo, STAR. Aerosol Detection Algorithm – . 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)..