遥感技术与应用 2020, Vol. 35 Issue (3): 702-711 DOI: 10.11873/j.issn.1004-0323.2020.3.0702 |
遥感应用 |
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基于哨兵2时间序列组合植被指数的作物分类研究 |
谷祥辉1(),张英2,桑会勇2,翟亮2(),李少军3 |
1.山东科技大学 测绘科学与工程学院,山东 青岛 266590 2.中国测绘科学研究院, 北京 100830 3.新疆维吾尔自治区测绘科学研究院, 新疆 乌鲁木齐 830002 |
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Research on Crop Classification Method based on Sentinel-2 Time Series Combined Vegetation Index |
Xianghui Gu1(),Ying Zhang2,Huiyong Sang2,Liang Zhai2(),Shaojun Li3 |
1.College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China 2.Chinese Academy of Surveying and Mapping, Beijing 100830, China 3.Xinjiang Academy of Surveying and Mapping, Xinjiang Uygur Autonomous Region Urumqi, Urumqi 830002,China |
引用本文:
谷祥辉,张英,桑会勇,翟亮,李少军. 基于哨兵2时间序列组合植被指数的作物分类研究[J]. 遥感技术与应用, 2020, 35(3): 702-711.
Xianghui Gu,Ying Zhang,Huiyong Sang,Liang Zhai,Shaojun Li. Research on Crop Classification Method based on Sentinel-2 Time Series Combined Vegetation Index. Remote Sensing Technology and Application, 2020, 35(3): 702-711.
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http://www.rsta.ac.cn/CN/Y2020/V35/I3/702
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