基于SPOT/VGT NDVI的大区域农作物空间分布

随着遥感技术在农业上的广泛应用，及时准确掌握小区域农作物长势和分布的方法相对成熟，但对于省级以上的大区域而言，进行作物遥感测量涉及数据、耗费时间和经费等问题，而中国的农业普查制度又存在时效性的问题。以江苏省为研究区，利用SPOT/VGT NDVI长时间序列数据作为农作物分布研究的底图，分别与研究区农业普查数据和野外调查样方数据进行农作物空间分布的统计回归分析和对比，结果表明：对于大区域而言，SPOT/VGT NDVI长时间序列数据对农业作物生长期特征监测有较好地反应，其逐旬的时间分辨率可以弥补空间分辨率的不足，可有效地对农作物长势进行动态监测；农业普查数据、野外调查样方与SPOT/VGT NDVI时间序列分类结果结合进行回归分析，基本可以满足空间分布情况的调查研究，相对于遥感分类法和传统抽样调查等方式，该方法可以高效率低成本地掌握大区域农作物空间分布情况。

Crops distribution in large scale based on SPOT/VGT NDVI

With the extensive application of remote sensing technology in agriculture, the means of timely and accurately monitoring the growth and spatial distribution of crop in a small region have become reliable，however, if the survey is run in a large region, taking a province for instance, the mass data, countless working hours and expenses of remote sensing data used in the measurement of crop will bring the researchers some unsolvable problems. Meanwhile, the current census of agriculture in China is unable to provide a real-time database. In this paper, a long time series SPOT/VGT NDVI data was used in mapping the spatial distribution of crop in Jiangsu province, then the statistical regression analysis and comparison were carried out with the data derived from remote sensing measurement, agriculture census and field survey respectively. The results showed that a large scale crop monitoring during the growth period based on the long time series SPOT/VGT NDVI dataset can give a positive response. Compared with the agriculture census, the statistical regression analysis between the data derived from field survey and remote sensing measurement can guarantee a higher accuracy and meet the requirements of crop monitoring.