1. An automatic method for rice mapping in Taishan, China using Sentinel-1A Time-series images.
- Author
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Tian, Guixiang, Li, Heping, Feng, Xue, Jiang, Qi, Li, Ning, Guo, Zhengwei, Zhao, Jianhui, and Yang, Huijin
- Subjects
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RICE , *SUPPORT vector machines , *SOCIAL stability , *RANDOM forest algorithms , *REMOTE sensing , *SYNTHETIC aperture radar - Abstract
Quickly and accurately obtaining information on rice planting areas is crucial for maintaining food security and social stability. Based on the time series of Sentinel-1A images, this study proposes an automatic rice mapping method called the Dynamic Threshold Time-Weighted Dynamic Time Warping method (DT-TWDTW). This method consists of two parts. First, rice samples are extracted automatically by a dynamic threshold method based on the unique flooding signal before and after rice transplanting. Then, the Time-Weighted Dynamic Time Warping (TWDTW) method is used for rice mapping based on the cumulative cost matrix between unknown pixels and rice samples. The results show that the DT-TWDTW method can achieve satisfactory mapping accuracy with an overall accuracy of 94.6%, higher than random forest (89.9%), and support vector machine (91.7%). This study provides a new approach and perspective for remote sensing monitoring of rice, especially for some regions without prior phenological knowledge and collection of the rice samples. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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