PPT-Western Great Basin Reflectance Analysis

and Model Performance ATMS 792 Remote Sensing Outline Data used Domain of study Hypothesis Model algorithm How does this model perform for our region 2D spatial plots Scatter plots. 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 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 . 18 AugGreat-great-granddaughter-in-lawDebrah A. EastmanGreat-great-great-granddaughterRichard SmithJeremy Beattie SmithGreat-great-great-great-grandsonDiane L. Eastman Great-great-great-great-granddau Dan . Sauceda. Outline. Information on the Region. Data Information. Reflectance Equations. MODIS Images. NDVI. Conclusions. Information on the Region. Latitude: 0. ˚N, -12˚S. Longitude: -56˚. E, -72. Nigar. Sultana. 1. , Kenneth E. Bartels. 2. , G. Reed . Holyoak. 2 . , . Daqing. Piao. 1. and Jerry W. Ritchey . 3. 1. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078, USA. 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. 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.. Spatial. Spatial. Hyperspectral Sensing . – Imaging Spectroscopy. What is Hyperspectral Sensing?. Z = Spectral Bands. X. Y. Data Cube. – a way to visualize the data. Multispectral. Hyperspectral. John Koehn, Arthur . Rylah. Institute, DELWP, Victoria. Charles Todd. Ivor Stuart. Brenton . Zampatti. Stephen Balcombe . Clayton Sharpe. Joshua Barrow. Scott Raymond. Jamin. Forbes. Wayne . Koster. 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. 15-463, 15-663, 15-862. Computational Photography. Fall 2018, Lecture 16. http://graphics.cs.cmu.edu/courses/15-463. Homework 4 is still ongoing. - Any questions?. I will try to go over project ideas tonight.. Kaytan Kelkar and AnnMarie Jones. Mosaics in Science and GeoCorps America 2014. Project Goals. To conduct an inventory of the paleontological resources.. . To prospect known fossil localities for new specimens..