Journal article
Seasonal separation of African savanna components using Worldview-2 imagery: a comparison of pixel- and object-based approaches and selected classification algorithms
- Abstract:
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Separation of savanna land cover components is challenging due to the high heterogeneity of this landscape and spectral similarity of compositionally different vegetation types. In this study, we tested the usability of very high spatial and spectral resolution WorldView-2 (WV-2) imagery to classify land cover components of African savanna in wet and dry season. We compared the performance of Object-Based Image Analysis (OBIA) and pixel-based approach with several algorithms: k-nearest neighb...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 8.6MB, Terms of use)
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- Publisher copy:
- 10.3390/rs8090763
Authors
Bibliographic Details
- Publisher:
- MDPI
- Journal:
- Remote Sensing More from this journal
- Volume:
- 8
- Issue:
- 9
- Article number:
- 763
- Publication date:
- 2016-09-16
- Acceptance date:
- 2016-09-08
- DOI:
- EISSN:
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2072-4292
- ISSN:
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2072-4292
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:709185
- UUID:
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uuid:9b949254-633a-457d-86f7-cf67365c2576
- Local pid:
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pubs:709185
- Source identifiers:
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709185
- Deposit date:
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2019-10-10
Terms of use
- Copyright holder:
- Kaszta et al
- Copyright date:
- 2016
- Notes:
- © 2016 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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