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Selecting the spatial resolution of ariborne MSS imagery

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Selecting the spatial resolution of ariborne MSS imagery. / Atkinson, Peter M.
In: International Journal of Remote Sensing, Vol. 18, No. 9, 1997, p. 1903-1917.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Atkinson, PM 1997, 'Selecting the spatial resolution of ariborne MSS imagery', International Journal of Remote Sensing, vol. 18, no. 9, pp. 1903-1917. https://doi.org/10.1080/014311697217945

APA

Vancouver

Atkinson PM. Selecting the spatial resolution of ariborne MSS imagery. International Journal of Remote Sensing. 1997;18(9):1903-1917. doi: 10.1080/014311697217945

Author

Atkinson, Peter M. / Selecting the spatial resolution of ariborne MSS imagery. In: International Journal of Remote Sensing. 1997 ; Vol. 18, No. 9. pp. 1903-1917.

Bibtex

@article{128a353a807945b0be4a2895a1c5f131,
title = "Selecting the spatial resolution of ariborne MSS imagery",
abstract = "The spatial resolution determines the number of data and amount of information in a remotely sensed image of a given scene. The 'optimal' spatial resolution may be defined as that which maximizes the information per pixel, and this maximum is realized when the semivariance at a lag of one pixel (the average squared difference between neighbouring pixels) is maximized. For mapping, a spatial resolution should be chosen that is much finer than the 'optimal' spatial resolution as defined above. Airborne MSS images in both red and near-infrared wavelengths for three different dates and two sites were investigated to determine a spatial resolution suitable for mapping spatial variation in agricultural fields in the U.K. The spatial resolution most appropriate for mapping the spatial variation in the images was between 0.5 m and 3 m.",
author = "Atkinson, {Peter M.}",
note = "M1 - 9",
year = "1997",
doi = "10.1080/014311697217945",
language = "English",
volume = "18",
pages = "1903--1917",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "TAYLOR & FRANCIS LTD",
number = "9",

}

RIS

TY - JOUR

T1 - Selecting the spatial resolution of ariborne MSS imagery

AU - Atkinson, Peter M.

N1 - M1 - 9

PY - 1997

Y1 - 1997

N2 - The spatial resolution determines the number of data and amount of information in a remotely sensed image of a given scene. The 'optimal' spatial resolution may be defined as that which maximizes the information per pixel, and this maximum is realized when the semivariance at a lag of one pixel (the average squared difference between neighbouring pixels) is maximized. For mapping, a spatial resolution should be chosen that is much finer than the 'optimal' spatial resolution as defined above. Airborne MSS images in both red and near-infrared wavelengths for three different dates and two sites were investigated to determine a spatial resolution suitable for mapping spatial variation in agricultural fields in the U.K. The spatial resolution most appropriate for mapping the spatial variation in the images was between 0.5 m and 3 m.

AB - The spatial resolution determines the number of data and amount of information in a remotely sensed image of a given scene. The 'optimal' spatial resolution may be defined as that which maximizes the information per pixel, and this maximum is realized when the semivariance at a lag of one pixel (the average squared difference between neighbouring pixels) is maximized. For mapping, a spatial resolution should be chosen that is much finer than the 'optimal' spatial resolution as defined above. Airborne MSS images in both red and near-infrared wavelengths for three different dates and two sites were investigated to determine a spatial resolution suitable for mapping spatial variation in agricultural fields in the U.K. The spatial resolution most appropriate for mapping the spatial variation in the images was between 0.5 m and 3 m.

U2 - 10.1080/014311697217945

DO - 10.1080/014311697217945

M3 - Journal article

VL - 18

SP - 1903

EP - 1917

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 9

ER -