[张贴报告]Early-season mapping of winter wheat and garlic in Huaihe basin using Sentinel-1/2 and Landsat-7/8 imagery

Early-season mapping of winter wheat and garlic in Huaihe basin using Sentinel-1/2 and Landsat-7/8 imagery
编号:238 稿件编号:118 访问权限:私有 更新:2023-04-07 21:17:59 浏览:792次 张贴报告

报告开始:2023年05月06日 08:13 (Asia/Shanghai)

报告时间:1min

所在会议:[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.
关键字
Winter wheat,Garlic,Random Forest,Image integration,Mapping
报告人
郭研
河南大学

稿件作者
郭研 河南大学
夏浩铭 河南大学
赵晓阳 河南大学
乔龙鑫 河南大学
杜谦 美国密西西比州立大学
秦耀辰 河南大学
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