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 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.. 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. 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. 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. September 29, 2015. WGISS 40. USGS Plans for Archive and Distribution of Sentinel-2 Multispectral Imager (MSI) Data. Background. Notional plans are for the USGS to acquire, archive and distribute Sentinel-2 MSI Level-1C (L1C) products. 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.  . Feng Gao, Martha Anderson, Liang Sun, Yang . Yang. , Yun Yang. and . also contributed . by David Roy and his group. Landsat. Science Team Meeting, Virginia Tech, January 12-14, 2016. USDA is an equal opportunity provider and employer. 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.  . 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 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 .