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首页> 外文会议>International Conference on Agro-Geoinformatics >Potential of April-June multi-temporal images for crop mapping before harvest: A case study of Kashgar
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Potential of April-June multi-temporal images for crop mapping before harvest: A case study of Kashgar

机译：4月至6月多时相图像在作物收获前作图的潜力：以喀什为例

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This research aims at evaluating the potential of multi-temporal images acquired in April-June period for crop mapping before harvest in Kashgar China. Firstly, images of both Landsat-5 TM and Huan Jing (HJ)-1 CCD data were used to acquire an image time series with 30 m spatial resolution and 15 day temporal resolution during the entire growing season. Subsequently, period-by-period separability of different crops was measured by calculating Jeffries-Matsushita (JM) distance. Afterwards, a support vector machine (SVM) was used to compare the classification accuracy of entire growing season and April-June images. The result indicated that the late August image is the best time period to identify crops because the JM distances of pair-wise crop were larger than 1.75. And the average JM distance of April-June images was 1.939, which was slightly lower than that of entire growing season (JM distance 1.999). In addition, the overall accuracy of classification using April-June images was 85.16%. It was 8% lower than that of optimal images of entire growing season (93.74%). The misclassifications of April-June images were mainly attributed to the misclassification between wheat and wheat-maize, as summer were still in an early growing stage in late June. Overall, the research showed that domineering crops in Kashgar can be extracted one month before harvest using multi-temporal images obtained during April and June.
机译：本研究旨在评估4月至6月采集的多时相影像在喀什中国收获前作作物作图的潜力。首先，使用Landsat-5 TM和环景（HJ）-1 CCD数据的图像来获取整个生长季节中具有30 m空间分辨率和15天时间分辨率的图像时间序列。随后，通过计算Jeffries-Matsushita（JM）距离来测量不同作物的周期可分离性。之后，使用支持向量机（SVM）比较整个生长季节和4月至6月图像的分类精度。结果表明，八月下旬的图像是识别作物的最佳时间段，因为成对作物的JM距离大于1.75。 4月至6月图像的平均JM距离为1.939，略低于整个生长期的平均JM距离（JM距离1.999）。此外，使用4月至6月图像进行分类的总体准确性为85.16％。与整个生长季节的最佳图像（93.74％）相比，降低了8％。 4月至6月图像的错误分类主要归因于小麦和小麦-玉米之间的错误分类，因为夏季仍处于6月下旬的早期生长阶段。总体而言，研究表明，使用四月和六月获得的多时相图像，可以在收获前一个月提取喀什的霸气农作物。

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