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Andrew K. Skidmore

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Moses Azong Cho

> Home > Persons > Andrew K. Skidmore

Publications

2014
[c2]
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  dblp key:
  - conf/igarss/ChoRS14
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  persistent URL:
  - https://dblp.org/rec/conf/igarss/ChoRS14
Moses Azong Cho, Abel Ramoelo, Andrew K. Skidmore:
Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. IGARSS 2014: 4754-4757
2013
[j29]
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  dblp key:
  - journals/aeog/RamoeloSSHMC13
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  - https://dblp.org/rec/journals/aeog/RamoeloSSHMC13
Abel Ramoelo, Andrew K. Skidmore, Martin Schlerf, Ignas M. A. Heitkönig, Renaud Mathieu, Moses Azong Cho:
Savanna grass nitrogen to phosphorous ratio estimation using field spectroscopy and the potential for estimation with imaging spectroscopy. Int. J. Appl. Earth Obs. Geoinformation 23: 334-343 (2013)
2012
[j22]
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  - journals/aeog/RamoeloSCSMH12
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  - https://dblp.org/rec/journals/aeog/RamoeloSCSMH12
Abel Ramoelo, Andrew K. Skidmore, Moses Azong Cho, Martin Schlerf, Renaud Mathieu, Ignas M. A. Heitkönig:
Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor. Int. J. Appl. Earth Obs. Geoinformation 19: 151-162 (2012)
2009
[j10]
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  dblp key:
  - journals/aeog/ChoSS09
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  - https://dblp.org/rec/journals/aeog/ChoSS09
Moses Azong Cho, Andrew K. Skidmore, Istiak Sobhan:
Mapping beech (Fagus sylvatica L.) forest structure with airborne hyperspectral imagery. Int. J. Appl. Earth Obs. Geoinformation 11(3): 201-211 (2009)
2007
[j5]
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  dblp key:
  - journals/aeog/ChoSCWS07
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  - https://dblp.org/rec/journals/aeog/ChoSCWS07
Moses Azong Cho, Andrew K. Skidmore, Fabio Corsi, Sipke E. van Wieren, Istiak Sobhan:
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression. Int. J. Appl. Earth Obs. Geoinformation 9(4): 414-424 (2007)

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