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About 10,000 papers for “surface reflectance”

Surface Reflectance Data

Broomhall, Mark · Pawsey Supercomputing Centre · 2014

This collection contains swath and gridded reflectance data for all MODIS (Aqua and Terra) bands which reflect from the Earths surface. There is temporal coverage from 2000 to 2012. There are multiple swath products per day, per satellite. The gridded data comprises a single scene per day per satellite of the Australian continent. Each of the 19-bands is stored as a separate file for each scene. These data support research into advanced algorithms for the retrieval of biophysical data such as, vegetation indexes, stored carbon, BRDF, AOD, smoke and dust products. This data forms part of the TERN/Auscover national database of significant terrestrial products. "These data support research into advanced algorithms for the retrieval of biophysical data such as, vegetation indexes, stored carbon, BRDF, AOD, smoke and dust products. This data forms part of the TERN/Auscover national database of significant terrestrial products. These data (when hosted) will be freely available through the TERN/Auscover data portal."

Cited by 0Open access

Reflectance-based surface saliency

Gilles Pitard, Gaëtan Le Goïc, Alamin Mansouri et al. · 2017

In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims at devising an intrinsic visual saliency of the surface, independent of the sensor (image) and the geometry of the scene (light-object-camera). From RTI data, we use the DMD (Discrete Modal Decomposition) technique for the angular reflectance reconstruction, which we extend by a new transformation on the modal basis enabling a rotation-invariant representation of reconstructed reflectances. This orientation-invariance of the resulting reflectance shapes fosters a robust estimation of saliency maps linked to the local visual appearance behaviour of surfaces on the scene. The proposed methodology has been tested and validated on real surfaces with controlled singularities, and the results demonstrated its efficiency since the estimated saliency maps show strong correlation with sensorial visual assessments.

Cited by 13

Global Surface Reflectance (MODIS)

NASA/Goddard Space Flight Center Scientific Visualization Studio · Bulletin of Miscellaneous Information (Royal Gardens Kew)

Global Surface Reflectance (MODIS), the first composite of the MODIS data set. Note: Global Surface Reflectance (MODIS). Animator: Stuart A. Snodgrass (GST). Scientist: Yoram Kaufman (NASA/GSFC). Platforms/Sensors/Data Sets: Terra/MODIS.

Cited by 0

Estimation of Surface Reflectance by Utilizing Single Visible Reflectance

From Coms Meteorological Imager · 2016

Abstract: Accurate correction of surface effect from back scattered solar radiance is one of key issue to retrieve aerosol information from satellite measurements. In this study, two different methods are applied to retrieve surface reflectance by using single visible channel measurement from meteorological imager onboard COMS. The first one is minimum reflectance method, which composes the minimum value among previously measured reflectances at each pixel over a certain search window length. This method assumes that the darkest pixel corresponds to the aerosol-free condition, and deduces surface reflectance by correcting atmospheric scattering from the measured visible reflectance. The second method, named as the “atmospheric correction method ” in this study, estimates the result by correcting aerosol and atmospheric scattering with ground-based observation of aerosol optical properties. The purpose of this study is to investigate the retrieval accuracy of the widelyused minimum reflectance method. Also, the retrieval error caused by the loading of background aerosol is mainly estimated. The comparison between surface reflectances retrieved from the two methods shows good agreement with the correlation coefficient of 0.87. However, the results from the minimum reflectance method are slightly overestimated than the values from the atmospheric correction method when surface reflectance is lower than 0.2. The average difference between the two results is 0.012 without the background aerosol correction. By considering

Cited by 0

Fibrous Material Surface Reflectance Analysis

Ong Tee Say, Zaliman Sauli, Vithyacharan Retnasamy et al. · Applied Mechanics and Materials · 2014

The light inspection on surface finishing of most product measurement is an important feature in the industries. In this study, a lab module tester for examination on the different type quality of tissue paper quality was done. The light reflectance element was used in this study to differentiate the quality of tissue paper. The laser diode and photodiode was used as manipulator to differentiate the tissue paper and photo detector to detect the reflected light from the surface of tissue paper. The both of laser diode and photodiode were placed in a light box. Different level of intensity reflected from the surface material will have different voltage output. The result showed that the total ply high quality tissue paper has a higher reflected voltage output compared to low quality tissue paper.

Cited by 0

Surface Reflectance Study Spectral Data

Bretschneider, Eric · Figshare · 2024

Luminaire spectral power distribution and effective spectral irradiance at standard observer location accounting for surface reflectance in the built environment

Cited by 0Open access

Polymer surface reflectance‐absorptance characteristics

John R. Hallman, J. R. Welker, C. M. Sliepcevich · Polymer Engineering and Science · 1974

Abstract During an investigation of the time for ignition of polymeric materials under the influence of radiant heating, it was found that the polymer surface reflectance‐absorptance characteristics were a major factor in the variance of the ignition times. A subsequent research study was made of the reflectance‐absorptance characteristics of those polymers used in the ignition testing. Reflectance values were obtained over the wavelength of 0.3 to 2.5 microns using a double‐beam Cary model 14 spectrophotometer with an integrating sphere reflectometer and over the wavelengths of 1.0 to 10.0 microns using a Gier‐Dunkle Hohlraum with a Perkin‐Elmer spectrophotometer. Absorptance values were obtained by means of Kirchoff's Law, Drawings and graphs are included which illustrate the test apparatus and type of data collected. A table of average absorptances of several polymers are given and listed according to the particular type of heat source used. Average absorptances of the polymers over the monochromatic wavelength span of the heat sources were calculated using the equation Mathematical analyses were developed and are presented for both the integrating sphere reflectometer and Gier‐Dunkle Hohlraum unit. Drawings and graphs are included which illustrate the test apparatus and type of data collected. A table of average absorptances of several polymers are given and listed according to the particular type of heat source used.

Cited by 30

GF1 WFV Surface Reflectance product

Zhang, Zhaoming, Peng, Yan, Long, Tengfei et al. · Zenodo (CERN European Organization for Nuclear Research) · 2024

GF1 WFV SR products are generated by the SR retrieval procedure (AirSR) and the GF1 WFV images received by the remote sensing satellite ground station of China. AirSR adopts a per-pixel atmospheric correction method based on the 6S radiative transfer model and MODIS AOD (Aerosol Optical Depth) spatial fusion. The MODIS AOD products used include MOD08D3, MOD09CMA, and MCD19A2, which are spatially fused using the Universal Kriging Method (UK) to obtain a complete coverage of AOD data. The required atmospheric water vapor content and ozone data are from MCD19A2 and MOD09CMG products, which can be downloaded from the MODIS product website (https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/). AirSR also considers the influences of solar zenith angle and satellite observation zenith angle. contacts: zhangzhaoming@aircas.ac.cn/zhangzm@radi.ac.cn

Cited by 0Open access

Estimating Surface Reflectance from Images

Ron O. Dror, Edward H. Adelson · 2008

The Problem: To determine the reflective properties of an object’s surface, such as glossiness, matteness, and roughness, given a single image under unknown, real-world lighting. Motivation: An ability to recognize surface reflectance under uncontrolled conditions provides a valuable cue for inferring the properties or identity of a material, and also allows realistic surface rendering in computer graphics. Figure 1 shows images of nine spheres, each photographed in two real-world settings. The two images of each sphere are completely different at the pixel level because illumination varies from one location to another. Yet, a human observer easily recognizes that the images in each column represent spheres of similar materials, while the images in different columns represent spheres of different materials. A human could classify a sphere photographed in a third setting into one of these nine categories accordingtoitsapparent material properties. We wish to develop acomputer algorithm with a similar abilitytorecognize surface reflectance. illuminations reflectances Figure 1: A reflectance classification problem. Each of nine spheres was photographed under multiple real-world illumination conditions. We trained a nine-way reflectance classifier using the images corresponding to six illuminations, and then used it to classify individual images under the seventh illumination.

Cited by 0

Rendering Deformable Surface Reflectance Fields

Tim Weyrich, Hanspeter Pfister, M. Gross · IEEE Transactions on Visualization and Computer Graphics · 2004

Animation of photorealistic computer graphics models is an important goal for many applications. Image-based modeling has emerged as a promising approach to capture and visualize real-world objects. Animating image-based models, however, is still a largely unsolved problem. In this paper, we extend a popular image-based representation called surface reflectance field to animate and render deformable real-world objects under arbitrary illumination. Deforming the surface reflectance field is achieved by modifying the underlying impostor geometry. We augment the impostor by a local parameterization that allows the correct evaluation of acquired reflectance images, preserving the original light model on the deformed surface. We present a deferred shading scheme to handle the increased amount of data involved in shading the deformable surface reflectance field. We show animations of various objects that were acquired with 3D photography.

Cited by 17

Surface Reflectance Study Spectral Data

Bretschneider, Eric · Figshare · 2024

Luminaire spectral power distribution and effective spectral irradiance at standard observer location accounting for surface reflectance in the built environment

Cited by 0Open access

ECCOE 2024 Surface Reflectance Validation Dataset

Travis J Kropuenske, Jeffrey R Irwin, Mahesh Shrestha et al. · USGS DOI Tool Production Environment · 2025

Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery. Data provided in this data release were collected during select Earth observing satellite overpasses during the months of March through November 2024 at the USGS EROS facility in Minnehaha County, South Dakota. Each field collection file includes the calculated surface reflectance of each wavelength collected using a dual field spectrometer methodology. The dual field spectrometer methodology allows for the calculated surface reflectance of each wavelength to be computed using one or both of the spectrometers. The use of the dual field spectrometers system reduces uncertainty in the field measurements by accounting for changes in solar irradiance. Both single and dual spectrometer calculated surface reflectance are included with this dataset. The differing methodologies of the calculated surface reflectance data are denoted as "Single Spectrometer" and "Dual Spectrometer". Field spectrometer data are provided as Comma Separated Values (CSV) files and GeoPackage files.

Cited by 0Open access