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Crop Rotation Change Detection in Huang-Huai-Hai Plain, China

机译:中国黄淮海平原作物旋转变化检测

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The situation of cropland use in China is very complicated. In many areas, the cropland is used in multi-cropped ways. Monitoring crop rotation changes is necessary for agricultural management and decision-making. The objective of this research is to detect the cropland areas and distributions, where the crop rotation changed from double-cropping to single-cropping, using high temporal resolution imagery. The study site is located in the Huang-Huai-Hai plain, the largest plain and main cultivated area in China. The data used in this study are 10-day composite SPOT-4 VEGETATION (VGT) Normalized Difference Vegetation Index (NDVI) over the period of 1999 and 2003. After the data preprocessing for removing the influence of cloud and other noise, the discrete Fourier transform was applied to the NDVI data set on a per pixel basis for the whole study area. The mean and the amplitudes and phases in the first three harmonics of two temporal profiles were used to identify the areas where changes occurred using decision tree classifier. The result of this study showed that more than 4 million hectare croplands were changed from double-cropping in 1999 to single-cropping in 2003 and the main changes occurred in the southeast of Hebei province and the north of Shandong province.
机译:中国农业用途的情况非常复杂。在许多领域,农田以多种裁剪方式使用。监测作物旋转变化是农业管理和决策所必需的。本研究的目的是检测农田地区和分布,其中作物旋转从双重裁剪转变为单次裁剪,使用高时的分辨率图像。该研究遗址位于黄淮海平原,是中国最大的平原和主要耕地面积。本研究中使用的数据是1999年和2003年期间10天的综合点4植被(VGT)归一化差异植被指数(NDVI)。在数据预处理中除去云和其他噪音的影响,离散傅立叶将变换应用于整个研究区域的每个像素的NDVI数据集。两个时间轮廓的前三个谐波中的平均值和幅度和阶段用于识别使用决策树分类器发生变化的区域。该研究的结果表明,1999年,超过400万公顷的农作物从两次种植到2003年进行一次裁剪,河北省东南部和山东省北部发生的主要变化。

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