PPT-Landsat: Calculating Surface Reflectance

from METRIC Mapping Evapotranspiration at high Resolution using Internalized Calibration University of Idaho Kimberly Idaho University of NebraskaLincoln Landsat Polar Orbiting A new image each 16 days. 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 Energy Loss. WEATHERIZATION ENERGY AUDITOR SINGLE FAMILY. WEATHERIZATION ASSISTANCE PROGRAM STANDARDIZED CURRICULUM . – December 2012. By attending this session, participants will be able to:. Define basic energy movement. . 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 . MODIS . Downloads. Data Sources for GIS in Water Resources. by Ayse . Kilic. , David R. Maidment, and David G. Tarboton . GIS in Water Resources. Fall 2012. Landsat. – 30 m x 30 m pixels. 1972 – present. 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.. 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). Near nadir imagers do not provide the multi-angle observations necessary to capture the multi-angle reflective character described by the surface BRDF. Therefore, the Landsat albedo algorithm couples atmospherically corrected 30m Landsat . Lawrence, Emma Bode, Shannon Savage – . MontanaView. Marv Bauer, Leif . Olmanson. – . MinnesotaView. Doug Ramsey – . UtahView. Yong Wang – North . CarolinaView. 26 . July 2016. Landsat Science Team Meeting. Introduction to Landsat 8 Satellite Image Analysis 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 and . LGAC Status. 21 February 2018. Chris Engebretson, . USGS. engebret@usgs.gov. Doug Daniels, . The Aerospace Corporation. d. ouglas.daniels.ctr@usgs.gov. Topics. Landsat Archive Overview / Distribution Statistics. recent development and perspective. Hankui Zhang, David Roy and Crystal . Schaaf. . Feb 8, 2023. Landsat Science Team meeting, Reno, Nevada. Outline. Existing . c. -factor method – using global averaged MODIS BRDF parameters . 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)..