Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets

Walthall, C. L.; Kim, M.; Williams, Darrel L.; Meeson, B.W.; Agbu, P. A.; Newcomer, Jeffrey A.; Levine, Elissa R.

doi:10.1016/0034-4257(93)90054-2

Cited by 17 publications

(5 citation statements)

References 26 publications

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“…Hall et al, 1991;Walthall, et al, 1993). The objectives of FIFE were to improve the understanding of interactions between the atmosphere and the vegetated land surface and to investigate the use of satellite observations to infer climatologically significant land surface parameters .…”

Section: Validation Approachesmentioning

confidence: 99%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

261

187

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Section: Validation Approachesmentioning

confidence: 99%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

261

187

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“…The angular reflectance of a wide variety of natural land surfaces has been shown to fit this simple model to an RMS of <0.01 in reflectance over the ATSR‐2 sampling [ North et al , 1999] using tests on a data set of field and airborne measurements [ Walthall et al , 1993] and Monte Carlo simulation [ North , 1996]. In contrast, reflectance that is a mixture of atmospheric and surface scattering does not fit this model well.…”

Section: Theory Of Dual‐angle Retrievalmentioning

confidence: 99%

Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR‐2 dual‐angle imagery: Operational method and validation

North¹

2002

J. Geophys. Res.

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[1] Imagery from the second Along Track Scanning Radiometer (ATSR-2) is analyzed to reveal that a separation of the atmospheric from the land surface signal is possible given two near-simultaneous images at differing slant paths. The method is based on the inversion of a simple physical model of light scattering by the land surface. The result is an image of the land surface reflectance that is relatively uncontaminated by atmospheric scattering and a separate image of the atmospheric aerosol loading. Unlike single-image satellite methods for aerosol estimation, no assumptions are required about the land surface spectral properties, allowing for quantitative mapping of aerosol over an arbitrary land surface. Validation is performed over boreal forest by comparison with data from a network of Sun photometers. Satellite estimates of aerosol optical depth agree with field measurements to within 0.02 at 550 nm. An important consequence is that measurements can be compared over time, and small changes in land surface reflectance can be separated from atmospheric changes.

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“…For bare soil we examined the consistency of our measurements with results by Irons and by Kimes which were taken from a modeling data set by Walthall et al (1993) and from the ftp-site mentioned in Kriebel (1996), respectively. Our measurements are for a seed field which had been freshly smoothed after sowing.…”

Section: Resultsmentioning

confidence: 97%

Bi‐directional reflectance measurements with the CCD line camera WAAC

Demircan¹,

Geiger

Radke

et al. 2000

Remote Sensing Reviews

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In order to determine the Bi-directional Reflectance Distribution Function (BRDF) of natural surfaces under natural conditions with high angular resolution a CCD line camera has been used. We demonstrate the principle of the method with the Wide Angle Airborne Camera (WAAC) which was developed at the German Aerospace Center (DLR) for airborne stereo imaging purposes. The camera is mounted on a rotating device and an extendible boom provides an aerial platform. The arrangement is such that one end of the CCD line looks in nadir direction and the other end stretches to a view zenith angle of 80°. Rotating the camera around a vertical axis makes it possible to measure almost the complete reflectance distribution of the surface below in a very short time.First measurements were carried out in the NIR spectral region to determine the BRDF of several surface types including various crops. We discuss smoothing strategies to obtain the BRDF from the raw data and present some examples of the results. We plan to continue the BRDF measurements for a variety of natural surfaces in order to understand the diurnal and seasonal variations and to compile an archive of BRDF data.

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Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets

Cited by 17 publications

References 26 publications

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR‐2 dual‐angle imagery: Operational method and validation

Bi‐directional reflectance measurements with the CCD line camera WAAC

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