| タイトル |
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Mapping crop cover using multi-temporal Landsat 8 OLI imagery
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| 作成者 |
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| アクセス権 |
open access |
| 権利情報 |
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This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Remote Sensing on 18 May 2017, available online: http://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1323286.
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| 主題 |
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Other
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Bayesian optimisation
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Other
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crop
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Other
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Kauth-Thomas transform
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Other
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Landsat-8
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Other
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random forests
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Other
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vegetation indices
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NDC
610
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| 内容注記 |
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Abstract
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ABSTRACT: Crop classification maps are useful for estimating amounts of crops harvested, which could help address challenges in food security. Remote-sensing techniques are useful tools for generating crop maps. Optical remote sensing is one of the most attractive options because it offers vegetation indices (VIs) with frequent revisits and has adequate spatial and spectral resolution and some data has been distributed free of charge. However, sufficient consideration has not been given to the potential of VIs calculated from Landsat 8 Operational Land Imager (OLI) data. This article describes the use of Landsat 8 OLI data for the classification of crops in Hokkaido, Japan. In addition to reflectance, VIs calculated from simple formulas that consisted of combinations of two or more reflectance wavebands were evaluated, as well as the six components of the Kauth–Thomas transform. The VIs based on shortwave infrared bands (bands 6 or 7) improved classification accuracy, and using a combination of all derived data from Landsat 8 OLI data resulted in an overall accuracy of 94.5% (allocation disagreement = 4.492 and quantity disagreement = 1.017).
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| 出版者 |
en
Taylor & Francis
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| 日付 |
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| 言語 |
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| 資源タイプ |
journal article |
| 出版タイプ |
AM |
| 資源識別子 |
HDL
http://hdl.handle.net/2115/70679
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| 関連 |
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isVersionOf
DOI
https://doi.org/10.1080/01431161.2017.1323286
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| 収録誌情報 |
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PISSN
0143-1161
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EISSN
1366-5901
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en
International Journal of Remote Sensing
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巻38
号15
開始ページ4348
終了ページ4361
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| ファイル |
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| コンテンツ更新日時 |
2023-07-26 |
