Results 1 to 10 of about 4,498 (215)

Evaluation of BRDF Archetypes for Representing Surface Reflectance Anisotropy Using MODIS BRDF Data

open access: yesRemote Sensing, 2015
Bidirectional reflectance distribution function (BRDF) archetypes extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product over the global Earth Observing System Land Validation Core Sites can be used to simplify BRDF
Hu Zhang, Ziti Jiao, Yadong Dong
exaly   +4 more sources

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

open access: yesRemote Sensing, 2017
Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF).
David P Roy   +2 more
exaly   +3 more sources

A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography

open access: yesRemote Sensing, 2020
Airborne hyper-spectral imaging has been proven to be an efficient means to provide new insights for the retrieval of biophysical variables. However, quantitative estimates of unbiased information derived from airborne hyperspectral measurements ...
Wen Jia, Yong Pang, Riccardo Tortini
exaly   +3 more sources

High-Resolution Infrared Reflectance Distribution Measurement Under Variable Temperature Conditions [PDF]

open access: yesSensors
The bidirectional reflectance distribution function (BRDF) can effectively characterize the reflectance properties of a target, which can be used to correct infrared remote sensing data and improve the accuracy of remote sensing measurements.
Yujian Yang   +6 more
doaj   +2 more sources

Development of a New BRDF-Resistant Vegetation Index for Improving the Estimation of Leaf Area Index

open access: yesRemote Sensing, 2016
The leaf area index (LAI) is one of the most important Earth surface parameters used in the modeling of ecosystems and their interaction with climate. Numerous vegetation indices have been developed to estimate the LAI. However, because of the effects of
Su Zhang, Liangyun Liu, Xinjie Liu
exaly   +3 more sources

BRDF Data for Coniferous Forests Acquired from Multispectral Camera Onboard a Unmanned Aerial Vehicle [PDF]

open access: yesGeo Data, 2023
Bidirectional reflectance distribution function (BRDF) is a distribution of directional reflectance for varying viewing and solar geometry. BRDF of a target is important in processing optical image data from satellites, because the observed radiance has ...
Seungil Baek   +3 more
doaj   +1 more source

Effects of Smoothed BRDF on Multi-angle Albedo Retrievals [PDF]

open access: yesE3S Web of Conferences, 2022
BRDF as the intrinsic feature of surface targets, is an important parameter required by albedo inversion from multi-angle observations, especially for satellite data suit with less directional measurements. Several studies have shown up to introduce BRDF
Shuai Yanmin   +5 more
doaj   +1 more source

CANOPY STRUCTURAL EFFECTS ON BIDIRECTIONAL REFLECTANCE SIMULATED BY THE LESS MODEL: A CASE STUDY OF PICEA CRASSIFOLIA FORESTS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Surface albedo is a dominant factor affecting the earth energy balance. Bidirectional reflectance distribution function (BRDF) describes the anisotropic surface reflection of solar radiation.
Q. Wu   +5 more
doaj   +1 more source

The Map Data of BRDF-Adjusted Surface Reflectance from GOCI Geostationary Satellite Imagery over Korean Peninsula [PDF]

open access: yesGeo Data, 2021
In this study, the spatial maps of the BRDF (Bidirectional Reflectance Distribution Function) adjusted surface reflectance (SR) were estimated by using the Geostationary Ocean Color Imager (GOCI) mounted on the Communication, Ocean and Meteorological ...
Jong-Min Yeom
doaj   +1 more source

Characterizing the Spatial Variations of Forest Sunlit and Shaded Components Using Discrete Aerial Lidar

open access: yesRemote Sensing, 2020
Forest three-dimensional (3-D) structure, in the vertical dimension, consists of at least two components, including overstory and a forest background matrix (i.e., shrubs, grass, and bare earth).
Xiaofei Wang   +5 more
doaj   +1 more source

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