Presentation Details
Early-season mapping of winter wheat and garlic in Huaihe basin using Sentinel-1/2 and Landsat-7/8 imagery
ID：238
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Updated Time：2023-04-07 21:17:59 Hits：1304
Poster Presentation
Start Time：2023-05-06 08:13（Asia/Shanghai）
Duration：1min
Session：SP 张贴报告专场 »
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Abstract
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.
Keywords
Winter wheat,Garlic,Random Forest,Image integration,Mapping
Speaker
郭研
河南大学Submission Author
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Important Date
-
Conference Date
May 05
2023
toMay 08
2023
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Mar 31 2023
Draft paper submission deadline
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May 25 2023
Registration deadline
Sponsored By
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
Organized By
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）
Contact Information
- 管小彬
- gu******@whu.edu.cn
- +86********
- 孙佳妮
- sc******@aconf.org
- +86********
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