<p>Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem</p>

Gladys Mosomtai; John  Odindi; Elfatih M.  Abdel-Rahman; Tobias  Landmann; Guillaume  David; Fabrice Pinard; Régis  Babin

doi:10.21955/gatesopenres.1116476.1

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Mosomtai G, Odindi J, Abdel-Rahman EM et al. Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem [version 1; not peer reviewed]. Gates Open Res 2019, 3:1627 (poster) (https://doi.org/10.21955/gatesopenres.1116476.1)

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Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem

Gladys Mosomtai¹, John Odindi, Elfatih M. Abdel-Rahman, Tobias Landmann, Guillaume David, Fabrice Pinard, Régis Babin

Published 23 Oct 2019 (https://doi.org/10.21955/gatesopenres.1116476.1)

Author Affiliations

¹ International Centre of Insect Physiology and Ecology, P.O Box 30772-00100, Nairobi, Kenya, Kenya

Copyright © 2019 Mosomtai G et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 23 Oct 2019

Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem
[version 1; not peer reviewed]

Gladys Mosomtai¹, John Odindi, Elfatih M. Abdel-Rahman, Tobias Landmann, Guillaume David, Fabrice Pinard, Régis Babin

Author Affiliations

¹ International Centre of Insect Physiology and Ecology, P.O Box 30772-00100, Nairobi, Kenya, Kenya

Abstract

Gates Foundation grant number

INV-GC2019

Competing Interests

No competing interests were disclosed

Keywords

Agroecosystem, Earth observation, coffee, landscape fragmentation

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Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem

Leveraging on big data from earth observation to map landscape structure and composition in coffee agroecosystem
[version 1; not peer reviewed]

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