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Choosing an appropriate spatial resolution for remote sensing investigations

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Choosing an appropriate spatial resolution for remote sensing investigations. / Atkinson, Peter M.; Curran, Paul J.

In: Photogrammetric Engineering and Remote Sensing, Vol. 63, No. 12, 12.1997, p. 1345-1351.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Atkinson, PM & Curran, PJ 1997, 'Choosing an appropriate spatial resolution for remote sensing investigations', Photogrammetric Engineering and Remote Sensing, vol. 63, no. 12, pp. 1345-1351. <http://eserv.asprs.org/PERS/1997journal/dec/1997_dec_1345-1351.pdf>

APA

Vancouver

Atkinson PM, Curran PJ. Choosing an appropriate spatial resolution for remote sensing investigations. Photogrammetric Engineering and Remote Sensing. 1997 Dec;63(12):1345-1351.

Author

Atkinson, Peter M. ; Curran, Paul J. / Choosing an appropriate spatial resolution for remote sensing investigations. In: Photogrammetric Engineering and Remote Sensing. 1997 ; Vol. 63, No. 12. pp. 1345-1351.

Bibtex

@article{cd9012472444476e8ade7765985a110c,
title = "Choosing an appropriate spatial resolution for remote sensing investigations",
abstract = "Choosing rationally the spatial resolution for remote sensing requires a formal relation between the size of support and some measure of the information content. The local variance in the image has been used to help choose an appropriate spatial resolution. Here we choose spatial resolutions to map continuous variation in properties, such as biomass, using the variogram. The experimental variogram can be separated into components of underlying spatially dependent variation and measurement error. The spatially dependent component can be deregularized to a punctual support, and then regularizedto any spatial resolution. The regularized variogram summarizes the information attainable by imaging at that spatial resolution because information exists in the relations between observations only. The investigator can use it to select a combination of spatial resolution and method of analysis for a given investigation. Two examples demonstrate the method.",
author = "Atkinson, {Peter M.} and Curran, {Paul J.}",
year = "1997",
month = dec,
language = "English",
volume = "63",
pages = "1345--1351",
journal = "Photogrammetric Engineering and Remote Sensing",
issn = "0099-1112",
publisher = "American Society for Photogrammetry and Remote Sensing",
number = "12",

}

RIS

TY - JOUR

T1 - Choosing an appropriate spatial resolution for remote sensing investigations

AU - Atkinson, Peter M.

AU - Curran, Paul J.

PY - 1997/12

Y1 - 1997/12

N2 - Choosing rationally the spatial resolution for remote sensing requires a formal relation between the size of support and some measure of the information content. The local variance in the image has been used to help choose an appropriate spatial resolution. Here we choose spatial resolutions to map continuous variation in properties, such as biomass, using the variogram. The experimental variogram can be separated into components of underlying spatially dependent variation and measurement error. The spatially dependent component can be deregularized to a punctual support, and then regularizedto any spatial resolution. The regularized variogram summarizes the information attainable by imaging at that spatial resolution because information exists in the relations between observations only. The investigator can use it to select a combination of spatial resolution and method of analysis for a given investigation. Two examples demonstrate the method.

AB - Choosing rationally the spatial resolution for remote sensing requires a formal relation between the size of support and some measure of the information content. The local variance in the image has been used to help choose an appropriate spatial resolution. Here we choose spatial resolutions to map continuous variation in properties, such as biomass, using the variogram. The experimental variogram can be separated into components of underlying spatially dependent variation and measurement error. The spatially dependent component can be deregularized to a punctual support, and then regularizedto any spatial resolution. The regularized variogram summarizes the information attainable by imaging at that spatial resolution because information exists in the relations between observations only. The investigator can use it to select a combination of spatial resolution and method of analysis for a given investigation. Two examples demonstrate the method.

M3 - Journal article

VL - 63

SP - 1345

EP - 1351

JO - Photogrammetric Engineering and Remote Sensing

JF - Photogrammetric Engineering and Remote Sensing

SN - 0099-1112

IS - 12

ER -