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The dynamical monitoring on quality of agricultural land resources based on vegetation index by MODIS data

机译：基于MODIS数据的植被指数基于植被指数的农业土地资源质量的动态监测

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One of the hot issues of the current research on agricultural land quality is how to employ remote sensing image processing technique to monitor the temporal-spatial changes of agricultural land quality dynamically. The paper elaborates on grid-pixel based vegetation index in light of MODIS image and agricultural land grading data of agricultural land in Jiangsu Province, since vegetation index is an efficient characterization to measure natural quality of regional agricultural land; it, taking Yixing as research region, also analyzes the correlativity between vegetation index from remote sensing image and natural quality index of agricultural land by combining GIS spatial analysis and statistics principles. The Paper builds regression model, with which it takes a sample from agricultural land in Wuxi for test; the result shows that the model has a good fitting degree and it is feasible to making NDVI-based dynamical monitoring on the temporal-spatial changes of agricultural land quality.
机译：一对农用地质量当前研究的热点问题是如何利用遥感图像处理技术，动态监控的农用地质量的时空变化。上基于网格的像素植被指数的阐述在MODIS图像和江苏省农业用地农业用地分级数据时，光由于植被指数是测量的区域农用地自然质量的有效的表征;它，以宜兴为研究区域，还分析结合GIS空间分析和统计原则，从遥感图像和农用地自然质量指数植被指数之间的相关性。纸张构建回归模型，与它需要从在无锡农业用地用于测试的样品;结果表明，该模型具有良好的拟合度，它是使农业用地的质量时空变化基于植被指数的动态监测是可行的。

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