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The 10-m crop type maps in Northeast China during 2017–2019
Northeast China is the leading grain production region in China where one-fifth of the national grain is produced; however, consistent and reliable crop maps are still unavailable, impeding crop management decisions for regional and national food security. Here, we produced annual 10-m crop maps of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854749/ https://www.ncbi.nlm.nih.gov/pubmed/33531510 http://dx.doi.org/10.1038/s41597-021-00827-9 |
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author | You, Nanshan Dong, Jinwei Huang, Jianxi Du, Guoming Zhang, Geli He, Yingli Yang, Tong Di, Yuanyuan Xiao, Xiangming |
author_facet | You, Nanshan Dong, Jinwei Huang, Jianxi Du, Guoming Zhang, Geli He, Yingli Yang, Tong Di, Yuanyuan Xiao, Xiangming |
author_sort | You, Nanshan |
collection | PubMed |
description | Northeast China is the leading grain production region in China where one-fifth of the national grain is produced; however, consistent and reliable crop maps are still unavailable, impeding crop management decisions for regional and national food security. Here, we produced annual 10-m crop maps of the major crops (maize, soybean, and rice) in Northeast China from 2017 to 2019, by using (1) a hierarchical mapping strategy (cropland mapping followed by crop classification), (2) agro-climate zone-specific random forest classifiers, (3) interpolated and smoothed 10-day Sentinel-2 time series data, and (4) optimized features from spectral, temporal, and texture characteristics of the land surface. The resultant maps have high overall accuracies (OA) spanning from 0.81 to 0.86 based on abundant ground truth data. The satellite estimates agreed well with the statistical data for most of the municipalities (R(2) ≥ 0.83, p < 0.01). This is the first effort on regional annual crop mapping in China at the 10-m resolution, which permits assessing the performance of the soybean rejuvenation plan and crop rotation practice in China. |
format | Online Article Text |
id | pubmed-7854749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78547492021-02-11 The 10-m crop type maps in Northeast China during 2017–2019 You, Nanshan Dong, Jinwei Huang, Jianxi Du, Guoming Zhang, Geli He, Yingli Yang, Tong Di, Yuanyuan Xiao, Xiangming Sci Data Data Descriptor Northeast China is the leading grain production region in China where one-fifth of the national grain is produced; however, consistent and reliable crop maps are still unavailable, impeding crop management decisions for regional and national food security. Here, we produced annual 10-m crop maps of the major crops (maize, soybean, and rice) in Northeast China from 2017 to 2019, by using (1) a hierarchical mapping strategy (cropland mapping followed by crop classification), (2) agro-climate zone-specific random forest classifiers, (3) interpolated and smoothed 10-day Sentinel-2 time series data, and (4) optimized features from spectral, temporal, and texture characteristics of the land surface. The resultant maps have high overall accuracies (OA) spanning from 0.81 to 0.86 based on abundant ground truth data. The satellite estimates agreed well with the statistical data for most of the municipalities (R(2) ≥ 0.83, p < 0.01). This is the first effort on regional annual crop mapping in China at the 10-m resolution, which permits assessing the performance of the soybean rejuvenation plan and crop rotation practice in China. Nature Publishing Group UK 2021-02-02 /pmc/articles/PMC7854749/ /pubmed/33531510 http://dx.doi.org/10.1038/s41597-021-00827-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor You, Nanshan Dong, Jinwei Huang, Jianxi Du, Guoming Zhang, Geli He, Yingli Yang, Tong Di, Yuanyuan Xiao, Xiangming The 10-m crop type maps in Northeast China during 2017–2019 |
title | The 10-m crop type maps in Northeast China during 2017–2019 |
title_full | The 10-m crop type maps in Northeast China during 2017–2019 |
title_fullStr | The 10-m crop type maps in Northeast China during 2017–2019 |
title_full_unstemmed | The 10-m crop type maps in Northeast China during 2017–2019 |
title_short | The 10-m crop type maps in Northeast China during 2017–2019 |
title_sort | 10-m crop type maps in northeast china during 2017–2019 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854749/ https://www.ncbi.nlm.nih.gov/pubmed/33531510 http://dx.doi.org/10.1038/s41597-021-00827-9 |
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