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Scaling-up snow depth in the UK for comparison with SSM/I imagery

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Scaling-up snow depth in the UK for comparison with SSM/I imagery. / Atkinson, Peter M.; Kelly, R. E. J.

In: International Journal of Remote Sensing, Vol. 18, No. 2, 1997, p. 437-443.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Atkinson, PM & Kelly, REJ 1997, 'Scaling-up snow depth in the UK for comparison with SSM/I imagery', International Journal of Remote Sensing, vol. 18, no. 2, pp. 437-443. https://doi.org/10.1080/014311697219178

APA

Atkinson, P. M., & Kelly, R. E. J. (1997). Scaling-up snow depth in the UK for comparison with SSM/I imagery. International Journal of Remote Sensing, 18(2), 437-443. https://doi.org/10.1080/014311697219178

Vancouver

Author

Atkinson, Peter M. ; Kelly, R. E. J. / Scaling-up snow depth in the UK for comparison with SSM/I imagery. In: International Journal of Remote Sensing. 1997 ; Vol. 18, No. 2. pp. 437-443.

Bibtex

@article{fba5236b6f8b420d895681e815c4a38b,
title = "Scaling-up snow depth in the UK for comparison with SSM/I imagery",
abstract = "Remotely sensed images in isolation are not usually a subject of interest, but become so if they are related to a property of interest at the ground. To obtain information on the property of interest it is usually necessary to establish a relation (for example, regression) between selected image pixels and a sample of the target property, and apply the relation to the image to estimate the target property at the unobserved places. Where the sample of the target property is obtained by interpolation, the estimates may be smoothed and the regression relation may be biased. In this Letter a potential solution to the problem is presented. The procedure is illustrated with a simple example in which the objective is to model the relation between snow depth in the U.K. and SSM/I microwave imagery.",
author = "Atkinson, {Peter M.} and Kelly, {R. E. J.}",
note = "M1 - 2",
year = "1997",
doi = "10.1080/014311697219178",
language = "English",
volume = "18",
pages = "437--443",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "TAYLOR & FRANCIS LTD",
number = "2",

}

RIS

TY - JOUR

T1 - Scaling-up snow depth in the UK for comparison with SSM/I imagery

AU - Atkinson, Peter M.

AU - Kelly, R. E. J.

N1 - M1 - 2

PY - 1997

Y1 - 1997

N2 - Remotely sensed images in isolation are not usually a subject of interest, but become so if they are related to a property of interest at the ground. To obtain information on the property of interest it is usually necessary to establish a relation (for example, regression) between selected image pixels and a sample of the target property, and apply the relation to the image to estimate the target property at the unobserved places. Where the sample of the target property is obtained by interpolation, the estimates may be smoothed and the regression relation may be biased. In this Letter a potential solution to the problem is presented. The procedure is illustrated with a simple example in which the objective is to model the relation between snow depth in the U.K. and SSM/I microwave imagery.

AB - Remotely sensed images in isolation are not usually a subject of interest, but become so if they are related to a property of interest at the ground. To obtain information on the property of interest it is usually necessary to establish a relation (for example, regression) between selected image pixels and a sample of the target property, and apply the relation to the image to estimate the target property at the unobserved places. Where the sample of the target property is obtained by interpolation, the estimates may be smoothed and the regression relation may be biased. In this Letter a potential solution to the problem is presented. The procedure is illustrated with a simple example in which the objective is to model the relation between snow depth in the U.K. and SSM/I microwave imagery.

U2 - 10.1080/014311697219178

DO - 10.1080/014311697219178

M3 - Journal article

VL - 18

SP - 437

EP - 443

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 2

ER -