报告详情
Early-season mapping of winter wheat and garlic in Huaihe basin using Sentinel-1/2 and Landsat-7/8 imagery
编号：238
访问权限：私有
更新：2023-04-07 21:17:59 浏览：440次
张贴报告
报告开始：2023年05月06日 08:13（Asia/Shanghai）
报告时间：1min
所在会场：[SP] 张贴报告专场 [SP-7-1] 7、遥感与地理信息科学
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摘要
Early crop mapping is essential in predicting crop yield, assessing agricultural disasters, and responding to food price fluctuations. Winter wheat is a major food contributor in China. Existing early season maps of winter wheat strongly depend on the shape of the time series curve, which limits applicability on large scales. Besides, the effect of garlic on winter wheat mapping is often ignored. In this study, we determined how early we could identify winter crops (winter wheat and garlic) by examining time series of different lengths, and generated annual 30-m winter wheat and garlic map of the Huaihe basin using the Random Forest classifier, Sentinel-1/2, and Landsat-7/8 time-series imagery. The results showed that garlic could be identified at the end of November by using four composite images with overall accuracy (OA) of 0.88, followed by winter wheat recognizable at the end of January by using eight composite images with an OA of 0.91. The proposed framework can also be implemented in other regions and crops to generate early season distribution maps of different crops.
关键词
Winter wheat,Garlic,Random Forest,Image integration,Mapping
报告人
郭研
河南大学稿件作者
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重要日期
-
会议日期
05月05日
2023
至05月08日
2023
-
03月31日 2023
初稿截稿日期
-
05月25日 2023
注册截止日期
主办单位
青年地学论坛理事会
中国科学院青年创新促进会地学分会
中国科学院青年创新促进会地学分会
承办单位
武汉大学
中国科学院精密测量科学与技术创新研究院
中国地质大学（武汉）
中国科学院精密测量科学与技术创新研究院
中国地质大学（武汉）
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