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Cokriging with airborne MSS imagery

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Cokriging with airborne MSS imagery. / Atkinson, Peter M.; Webster, R.; Curran, Paul J.
In: Remote Sensing of Environment, Vol. 50, No. 3, 12.1994, p. 335-345.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Atkinson, PM, Webster, R & Curran, PJ 1994, 'Cokriging with airborne MSS imagery', Remote Sensing of Environment, vol. 50, no. 3, pp. 335-345. https://doi.org/10.1016/0034-4257(94)90083-3

APA

Atkinson, P. M., Webster, R., & Curran, P. J. (1994). Cokriging with airborne MSS imagery. Remote Sensing of Environment, 50(3), 335-345. https://doi.org/10.1016/0034-4257(94)90083-3

Vancouver

Atkinson PM, Webster R, Curran PJ. Cokriging with airborne MSS imagery. Remote Sensing of Environment. 1994 Dec;50(3):335-345. doi: 10.1016/0034-4257(94)90083-3

Author

Atkinson, Peter M. ; Webster, R. ; Curran, Paul J. / Cokriging with airborne MSS imagery. In: Remote Sensing of Environment. 1994 ; Vol. 50, No. 3. pp. 335-345.

Bibtex

@article{369f541c55ef4515801466a874b29040,
title = "Cokriging with airborne MSS imagery",
abstract = "The coregionalization of radiation sensed by an airborne multispectral scanner (MSS) and both the green leaf area index (GLAI) of barley and the biomass of pasture has been investigated and modeled. In both crops there was fairly strong spatial interdependence with the radiation, even though the simple correlation was weak. The auto and cross variograms showed dependence extending to some 15 m. These functions were used with the data to estimate GLAI and biomass by cokriging, and to calculate the estimation variances. The results showed that whereas simple regression would have provided worthless estimates, cokriging with the MSS data both increased the precision of the estimates above that attainable by auto kriging, and allowed the planning of a new survey with substantially less sampling effort. The study also revealed considerable redundancy in the MSS data.",
author = "Atkinson, {Peter M.} and R. Webster and Curran, {Paul J.}",
note = "M1 - 3",
year = "1994",
month = dec,
doi = "10.1016/0034-4257(94)90083-3",
language = "English",
volume = "50",
pages = "335--345",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Cokriging with airborne MSS imagery

AU - Atkinson, Peter M.

AU - Webster, R.

AU - Curran, Paul J.

N1 - M1 - 3

PY - 1994/12

Y1 - 1994/12

N2 - The coregionalization of radiation sensed by an airborne multispectral scanner (MSS) and both the green leaf area index (GLAI) of barley and the biomass of pasture has been investigated and modeled. In both crops there was fairly strong spatial interdependence with the radiation, even though the simple correlation was weak. The auto and cross variograms showed dependence extending to some 15 m. These functions were used with the data to estimate GLAI and biomass by cokriging, and to calculate the estimation variances. The results showed that whereas simple regression would have provided worthless estimates, cokriging with the MSS data both increased the precision of the estimates above that attainable by auto kriging, and allowed the planning of a new survey with substantially less sampling effort. The study also revealed considerable redundancy in the MSS data.

AB - The coregionalization of radiation sensed by an airborne multispectral scanner (MSS) and both the green leaf area index (GLAI) of barley and the biomass of pasture has been investigated and modeled. In both crops there was fairly strong spatial interdependence with the radiation, even though the simple correlation was weak. The auto and cross variograms showed dependence extending to some 15 m. These functions were used with the data to estimate GLAI and biomass by cokriging, and to calculate the estimation variances. The results showed that whereas simple regression would have provided worthless estimates, cokriging with the MSS data both increased the precision of the estimates above that attainable by auto kriging, and allowed the planning of a new survey with substantially less sampling effort. The study also revealed considerable redundancy in the MSS data.

U2 - 10.1016/0034-4257(94)90083-3

DO - 10.1016/0034-4257(94)90083-3

M3 - Journal article

VL - 50

SP - 335

EP - 345

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 3

ER -