The Improved Dual-view Field Goniometer System FIGOS

In spectrodirectional Remote Sensing (RS) the Earth’s surface reflectance characteristics are studied by means of their angular dimensions. Almost all natural surfaces exhibit an individual anisotropic reflectance behaviour due to the contrast between the optical properties of surface elements...

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Main Authors: Klaus I. Itten, Mathias Kneubühler, Stefan Dangel, Jürg Schopfer
Format: Article
Language:English
Published: MDPI AG 2008-08-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/8/8/5120/
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author Klaus I. Itten
Mathias Kneubühler
Stefan Dangel
Jürg Schopfer
author_facet Klaus I. Itten
Mathias Kneubühler
Stefan Dangel
Jürg Schopfer
author_sort Klaus I. Itten
collection DOAJ
description In spectrodirectional Remote Sensing (RS) the Earth’s surface reflectance characteristics are studied by means of their angular dimensions. Almost all natural surfaces exhibit an individual anisotropic reflectance behaviour due to the contrast between the optical properties of surface elements and background and the geometric surface properties of the observed scene. The underlying concept, which describes the reflectance characteristic of a specific surface area, is called the bidirectional reflectance distribution function (BRDF). BRDF knowledge is essential for both correction of directional effects in RS data and quantitative retrieval of surface parameters. Ground-based spectrodirectional measurements are usually performed with goniometer systems. An accurate retrieval of the bidirectional reflectance factors (BRF) from field goniometer measurements requires hyperspectral knowledge of the angular distribution of the reflected and the incident radiation. However, prior to the study at hand, no operational goniometer system was able to fulfill this requirement. This study presents the first dual-view field goniometer system, which is able to simultaneously collect both the reflected and the incident radiation at high angular and spectral resolution and, thus, providing the necessary spectrodirectional datasets to accurately retrieve the surface specific BRF. Furthermore, the angular distribution of the incoming diffuse radiation is characterized for various atmospheric conditions and the BRF retrieval is performed for an artificial target and compared to laboratory spectrodirectional measurement results obtained with the same goniometer system. Suggestions for further improving goniometer systems are given and the need for intercalibration of various goniometers as well as for standardizing spectrodirectional measurements is expressed.
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spelling doaj.art-686fc385933344c380fd15ef5967746b2022-12-22T04:28:41ZengMDPI AGSensors1424-82202008-08-018851205140The Improved Dual-view Field Goniometer System FIGOSKlaus I. IttenMathias KneubühlerStefan DangelJürg SchopferIn spectrodirectional Remote Sensing (RS) the Earth’s surface reflectance characteristics are studied by means of their angular dimensions. Almost all natural surfaces exhibit an individual anisotropic reflectance behaviour due to the contrast between the optical properties of surface elements and background and the geometric surface properties of the observed scene. The underlying concept, which describes the reflectance characteristic of a specific surface area, is called the bidirectional reflectance distribution function (BRDF). BRDF knowledge is essential for both correction of directional effects in RS data and quantitative retrieval of surface parameters. Ground-based spectrodirectional measurements are usually performed with goniometer systems. An accurate retrieval of the bidirectional reflectance factors (BRF) from field goniometer measurements requires hyperspectral knowledge of the angular distribution of the reflected and the incident radiation. However, prior to the study at hand, no operational goniometer system was able to fulfill this requirement. This study presents the first dual-view field goniometer system, which is able to simultaneously collect both the reflected and the incident radiation at high angular and spectral resolution and, thus, providing the necessary spectrodirectional datasets to accurately retrieve the surface specific BRF. Furthermore, the angular distribution of the incoming diffuse radiation is characterized for various atmospheric conditions and the BRF retrieval is performed for an artificial target and compared to laboratory spectrodirectional measurement results obtained with the same goniometer system. Suggestions for further improving goniometer systems are given and the need for intercalibration of various goniometers as well as for standardizing spectrodirectional measurements is expressed.http://www.mdpi.com/1424-8220/8/8/5120/Dual-view field goniometer system FIGOSBRF retrievalBRDFatmospheric influencediffuse illuminationspectrodirectional Remote Sensing
spellingShingle Klaus I. Itten
Mathias Kneubühler
Stefan Dangel
Jürg Schopfer
The Improved Dual-view Field Goniometer System FIGOS
Sensors
Dual-view field goniometer system FIGOS
BRF retrieval
BRDF
atmospheric influence
diffuse illumination
spectrodirectional Remote Sensing
title The Improved Dual-view Field Goniometer System FIGOS
title_full The Improved Dual-view Field Goniometer System FIGOS
title_fullStr The Improved Dual-view Field Goniometer System FIGOS
title_full_unstemmed The Improved Dual-view Field Goniometer System FIGOS
title_short The Improved Dual-view Field Goniometer System FIGOS
title_sort improved dual view field goniometer system figos
topic Dual-view field goniometer system FIGOS
BRF retrieval
BRDF
atmospheric influence
diffuse illumination
spectrodirectional Remote Sensing
url http://www.mdpi.com/1424-8220/8/8/5120/
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