Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat
Landsat-9 is the latest satellite of the Landsat program and provides useful agricultural remote sensing data. The earlier the crop distribution data is obtained, the greater the value of the data. However, whether Landsat-9 image is suitable for the early-season mapping of winter garlic and winter...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-11-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2311868 |
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| author | Haifeng Tian Mengdan Yang Fangli Wu Yaochen Qin Xiwang Zhang Jiayi Liu Weiyang Yan |
| author_facet | Haifeng Tian Mengdan Yang Fangli Wu Yaochen Qin Xiwang Zhang Jiayi Liu Weiyang Yan |
| author_sort | Haifeng Tian |
| collection | DOAJ |
| description | Landsat-9 is the latest satellite of the Landsat program and provides useful agricultural remote sensing data. The earlier the crop distribution data is obtained, the greater the value of the data. However, whether Landsat-9 image is suitable for the early-season mapping of winter garlic and winter wheat is a problem worthy of attention. Therefore, this study evaluates the potential to use two Landsat-9 images, acquired on 13 December 2021 and 30 January 2022, for the early-season identification of winter garlic and winter wheat in China. According to J-M (Jeffries-Matusita) distances, we evaluated the separability of winter garlic, winter wheat, and other ground objects based on the two Landsat-9 images. Then, winter garlic and winter wheat were extracted by using unsupervised classification method, i.e. the IsoData and K-means clustering algorithms, and supervised classification method, i.e. the Random Forest (RF), and Support Vector Machine (SVM) algorithms. The separability between garlic and wheat in January is stronger than that in December. The classification overall accuracy based on the Landsat-9 image on 30 January 2022 is 92.03% with a kappa coefficient of 0.87 using the SVM algorithm. This period is about 4 months earlier than the crop harvest period. Landsat-9 images have good potentiality for early-season mapping of winter garlic and winter wheat. |
| format | Article |
| id | doaj-art-6d84ce08bc644801ae456a74a4ff3324 |
| institution | Kabale University |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-6d84ce08bc644801ae456a74a4ff33242024-12-11T11:57:33ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532024-11-012762199221010.1080/10095020.2024.2311868Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheatHaifeng Tian0Mengdan Yang1Fangli Wu2Yaochen Qin3Xiwang Zhang4Jiayi Liu5Weiyang Yan6Henan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan International Joint Laboratory of Geospatial Technology, College of Geography and Environmental Science, Henan University, Kaifeng, ChinaLandsat-9 is the latest satellite of the Landsat program and provides useful agricultural remote sensing data. The earlier the crop distribution data is obtained, the greater the value of the data. However, whether Landsat-9 image is suitable for the early-season mapping of winter garlic and winter wheat is a problem worthy of attention. Therefore, this study evaluates the potential to use two Landsat-9 images, acquired on 13 December 2021 and 30 January 2022, for the early-season identification of winter garlic and winter wheat in China. According to J-M (Jeffries-Matusita) distances, we evaluated the separability of winter garlic, winter wheat, and other ground objects based on the two Landsat-9 images. Then, winter garlic and winter wheat were extracted by using unsupervised classification method, i.e. the IsoData and K-means clustering algorithms, and supervised classification method, i.e. the Random Forest (RF), and Support Vector Machine (SVM) algorithms. The separability between garlic and wheat in January is stronger than that in December. The classification overall accuracy based on the Landsat-9 image on 30 January 2022 is 92.03% with a kappa coefficient of 0.87 using the SVM algorithm. This period is about 4 months earlier than the crop harvest period. Landsat-9 images have good potentiality for early-season mapping of winter garlic and winter wheat.https://www.tandfonline.com/doi/10.1080/10095020.2024.2311868Landsat-9winter garlicwinter wheatearly-season mappingremote sensing |
| spellingShingle | Haifeng Tian Mengdan Yang Fangli Wu Yaochen Qin Xiwang Zhang Jiayi Liu Weiyang Yan Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat Geo-spatial Information Science Landsat-9 winter garlic winter wheat early-season mapping remote sensing |
| title | Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat |
| title_full | Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat |
| title_fullStr | Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat |
| title_full_unstemmed | Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat |
| title_short | Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat |
| title_sort | potentiality of landsat 9 for early season mapping of winter garlic and winter wheat |
| topic | Landsat-9 winter garlic winter wheat early-season mapping remote sensing |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2024.2311868 |
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