Inter-seasonal time series imagery enhances classification accuracy of grazing resource and land degradation maps in a savanna ecosystem

Hunter, FDL; Mitchard, ETA; Tyrrell, P; Russell, S

Journal article

Inter-seasonal time series imagery enhances classification accuracy of grazing resource and land degradation maps in a savanna ecosystem

Abstract:: In savannas, mapping grazing resources and indicators of land degradation is important for assessing ecosystem conditions and informing grazing and land management decisions. We investigated the effects of classifiers and used time series imagery—images acquired within and across seasons—on the accuracy of plant species maps. The study site was a grazed savanna in southern Kenya. We used Sentinel-2 multi-spectral imagery due to its high spatial (10–20 m) and temporal (five days)...
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Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Hunter, F. D. L., Mitchard, E. T. A., Tyrrell, P., & Russell, S. (2020). Inter-seasonal time series imagery enhances classification accuracy of grazing resource and land degradation maps in a savanna ecosystem. Remote Sensing, 12(1), 198–198.

MLA Style

Hunter, F. DL, et al. “Inter-Seasonal Time Series Imagery Enhances Classification Accuracy of Grazing Resource and Land Degradation Maps in a Savanna Ecosystem.” Remote Sensing, vol. 12, no. 1, MDPI, 2020, pp. 198–98.

Chicago Style

Hunter, FDL, ETA Mitchard, P Tyrrell, and S Russell. 2020. “Inter-Seasonal Time Series Imagery Enhances Classification Accuracy of Grazing Resource and Land Degradation Maps in a Savanna Ecosystem.” Remote Sensing 12 (1): 198–98.
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Files:: remotesensing-12-00198...

(Version of record, 1.7MB)

Publisher copy:: 10.3390/rs12010198

Authors

+ Hunter, FDL More by this author

Role:

Author

ORCID:

0000-0003-4003-4777

+ Mitchard, ETA More by this author

Role:

Author

ORCID:

0000-0002-5690-4055

+ Tyrrell, P More by this author

Department:

Zoology

Oxford college:

Lady Margaret Hall

Role:

Author

ORCID:

0000-0002-9599-8138

+ Russell, S More by this author

Role:

Author

Bibliographic Details

Publisher:: MDPI Publisher's website
Journal:: Remote Sensing Journal website
Volume:: 12
Issue:: 1
Pages:: 198-198
Publication date:: 2020-01-06
Acceptance date:: 2020-01-03
DOI:: 10.3390/rs12010198
EISSN:: 2072-4292

Item Description

Language:: English
Keywords:: Sentinel-2

model comparison

supervised classification

grazing management

landscape monitoring

remote sensing

ecosystem monitoring
Pubs id:: 1084852
Local pid:: pubs:1084852
Deposit date:: 2020-02-04

Terms of use

Copyright holder:: Tyrrell et al.
Rights statement:: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Licence:: CC Attribution (CC BY)

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Journal article

Inter-seasonal time series imagery enhances classification accuracy of grazing resource and land degradation maps in a savanna ecosystem

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