Radiometry and Reflectance: From Terminology Concepts to Measured Quantities

Schaepman‐Strub, Gabriela; Schaepman, Michael E.; Martonchik, J. V.; Painter, T.; Dangel, S.

doi:10.4135/9780857021052.n15

Cited by 14 publications

(11 citation statements)

References 22 publications

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“…For this study, visible through shortwave infrared (350-2500 nm) hemispherical-directional reflectances (HDRs; Schaepman-Strub et al, 2006) were collected during two field campaigns. In August 2010, data were collected on Midtre Lovénbreen, Svalbard.…”

Section: Field Spectramentioning

confidence: 99%

Impact of spatial, spectral, and radiometric properties of multispectral imagers on glacier surface classification

Pope

Rees

2014

Remote Sensing of Environment

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Using multispectral remote sensing, glacier surfaces can be classified into a range of zones. The properties of these classes are used for a range of glaciological applications including mass balance measurements, glacial hydrology, and melt modelling. However, it is not immediately evident that multispectral data should be optimal for imaging glaciers and ice caps. Thus, this investigation takes an inverse perspective. Taking into account spectral and radiometric properties, in situ spectral reflectance data were used to simulate glacier surface response for a suite of multispectral sensors. Sensor-simulated data were classified and compared. In addition, airborne multispectral imagery was classified for a range of spatial resolutions and intercompared in three different ways. In these analyses, the most important property which determined the suitability of a multispectral imager for glacier surface classification was its radiometric range (i.e. gain settings). Low resolution imagery (250 m pixels) is too coarse to represent the true complexity present on a glacier while medium resolution imagery (60 m, 30 m, or 20 m)

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Section: Field Spectramentioning

confidence: 99%

Impact of spatial, spectral, and radiometric properties of multispectral imagers on glacier surface classification

Pope

Rees

2014

Remote Sensing of Environment

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“…It plays a crucial role in a variety of models, including general circulation models, land surface climate models, energy balance models, hydrology models, and biosphere models. Land surface albedo under ambient light conditions, also known as blue-sky albedo, is a combination of directional hemispheric reflectance, known as black-sky albedo (BSA), and bihemispherical reflectance, known as white-sky albedo (WSA); blue sky albedo takes into account the proportion of diffused skylight illumination and the solar zenith angle [3][4][5][6]. Over recent decades, land surface albedo remote sensing estimation algorithms have been developed, demonstrating Remote Sens.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of the Topographic Effects on Snow-Free Albedo over Rugged Terrain

et al. 2018

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Topography complicates the modeling and retrieval of land surface albedo due to shadow effects and the redistribution of incident radiation. Neglecting topographic effects may lead to a significant bias when estimating land surface albedo over a single slope. However, for rugged terrain, a comprehensive and systematic investigation of topographic effects on land surface albedo is currently ongoing. Accurately estimating topographic effects on land surface albedo over a rugged terrain presents a challenge in remote sensing modeling and applications. In this paper, we focused on the development of a simplified estimation method for snow-free albedo over a rugged terrain at a 1-km scale based on a 30-m fine-scale digital elevation model (DEM). The proposed method was compared with the radiosity approach based on simulated and real DEMs. The results of the comparison showed that the proposed method provided adequate computational efficiency and satisfactory accuracy simultaneously. Then, the topographic effects on snow-free albedo were quantitatively investigated and interpreted by considering the mean slope, subpixel aspect distribution, solar zenith angle, and solar azimuth angle. The results showed that the more rugged the terrain and the larger the solar illumination angle, the more intense the topographic effects were on black-sky albedo (BSA). The maximum absolute deviation (MAD) and the maximum relative deviation (MRD) of the BSA over a rugged terrain reached 0.28 and 85%, respectively, when the SZA was 60 • for different terrains. Topographic effects varied with the mean slope, subpixel aspect distribution, SZA and SAA, which should not be neglected when modeling albedo.

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“…Despite the light source being positioned at 78° with respect to the leaf sample, the fibre optic sits at an angle of 55° with respect to the leaf sample surface. This allows the calculation of bidirectional reflectance distribution factors (R B , Schaepman-Strub et al 2006) of the leaf sample. In this methodology, the leaf sample was placed in a blackened dark-adaptation leaf clip (Hansatech instruments Ltd. Norfolk, UK).…”

Section: Bidirectional Reflectance Factor R Bmentioning

confidence: 99%

Leaf optical properties and dynamics of photosynthetic activity

Olascoaga¹

2018

Diss. For.

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Radiometry and Reflectance: From Terminology Concepts to Measured Quantities

Abstract: G a b r i e l a S c h a e p m a n -S t r u b , M i c h a e l S c h a e p m a n , J o h n M a r t o n c h i k , T h o m a s P a i n t e r , a n d S t e f a n D a n g e l

Cited by 14 publications

References 22 publications

Impact of spatial, spectral, and radiometric properties of multispectral imagers on glacier surface classification

Impact of spatial, spectral, and radiometric properties of multispectral imagers on glacier surface classification

Simulation and Analysis of the Topographic Effects on Snow-Free Albedo over Rugged Terrain

Leaf optical properties and dynamics of photosynthetic activity

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