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Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover
Title: | Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover |
Authors: | Sonobe, Rei Browse this author →KAKEN DB | Yamaya, Yuki Browse this author | Tani, Hiroshi Browse this author →KAKEN DB | Wang, Xiufeng Browse this author →KAKEN DB | Kobayashi, Nobuyuki Browse this author | Mochizuki, Kan-ichiro Browse this author |
Keywords: | Crop | deep forest | Landsat 8 | random forests | reflectance | spectral indices |
Issue Date: | 3-Jul-2019 |
Publisher: | Taylor & Francis |
Journal Title: | Geocarto International |
Volume: | 34 |
Issue: | 8 |
Start Page: | 839 |
End Page: | 855 |
Publisher DOI: | 10.1080/10106049.2018.1425739 |
Abstract: | Developing techniques are required to generate agricultural land cover maps to monitor agricultural fields. Landsat 8 Operational Land Imager (OLI) offers reflectance data over the visible to shortwave-infrared range. OLI offers several advantages, such as adequate spatial and spectral resolution, and 16 day repeat coverage, furthermore, spectral indices derived from Landsat 8 OLI possess great potential for evaluating the status of vegetation. Additionally, classification algorithms are essential for generating accurate maps. Recently, multi-Grained Cascade Forest, which is also called deep forest, was proposed, and it was shown to give highly competitive performance for classification. However, the ability of this algorithm to generate crop maps with satellite data had not yet been evaluated. In this study, the reflectance at 7 bands and 57 spectral indices calculated from Landsat 8 OLI data were evaluated for its potential for crop type identification. |
Rights: | This is an Accepted Manuscript of an article published by Taylor & Francis in Geocarto International on 3 Jul. 2019, available online: http://www.tandfonline.com/doi/abs/10.1080/10106049.2018.1425739. |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/78799 |
Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山谷 祐貴
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