High Resolution Distribution Dataset of Double-Season Paddy Rice in China
High Resolution Distribution Dataset of Double-Season Paddy Rice in China
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DOI：
10.3390/rs13224609
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发表时间：
2021-11-01
期刊：
影响因子：
5
通讯作者：
Yuan, Wenping
中科院分区：
文献类型：
--
作者：
Pan, Baihong;Zheng, Yi;Yuan, Wenping
虽然中国是最大的水稻生产国，约占全球产量的25%，但没有覆盖全国的高分辨率水稻地图。采用时间加权动态时间规整（TWDTW）方法，通过比较已知双季稻种植区和未知像元的合成孔径雷达（SAR）信号的时间变化，提出了一种基于像元和物候特征的双季稻种植区识别方法。我们在像素和区域尺度上对该方法的性能进行了综合评估。基于2018年至2020年的145，210个实地调查样本，生产者和用户的准确率分别为88.49%和87.02%。与2016年至2019年县级统计数据相比，相对平均绝对误差为34.11%。该研究制作了2016 - 2020年中国南方9个省份10 m空间分辨率的双季稻分布图，这些省份占中国双季稻种植面积的99%以上。预计这些地图将有助于及时监测和评估水稻生长和产量。
Although China is the largest producer of rice, accounting for about 25% of global production, there are no high-resolution maps of paddy rice covering the entire country. Using time-weighted dynamic time warping (TWDTW), this study developed a pixel- and phenology-based method to identify planting areas of double-season paddy rice in China, by comparing temporal variations of synthetic aperture radar (SAR) signals of unknown pixels to those of known double-season paddy rice fields. We conducted a comprehensive evaluation of the method's performance at pixel and regional scales. Based on 145,210 field surveyed samples from 2018 to 2020, the producer's and user's accuracy are 88.49% and 87.02%, respectively. Compared to county-level statistical data from 2016 to 2019, the relative mean absolute errors are 34.11%. This study produced distribution maps of double-season rice at 10 m spatial resolution from 2016 to 2020 over nine provinces in South China, which account for more than 99% of the planting areas of double-season paddy rice of China. The maps are expected to contribute to timely monitoring and evaluating rice growth and yield.