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首页> 外文会议>2012 First International Conference on Agro-Geoinformatics. >Strategy to extract winter wheat and summer maize distribution based on time-serie MODIS NDVI data
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Strategy to extract winter wheat and summer maize distribution based on time-serie MODIS NDVI data

机译：基于时间序列MODIS NDVI数据的冬小麦和夏玉米分布的提取策略

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摘要

Crop plantation map is a fundamental data in the research and production of agriculture. Remote sensing is a fast, economic and irreplaceable tool in this research and application area. By the analysis of the penology of winter wheat and summer maize using the data from agro-meteorological station and the characteristics analysis of the 8-day time-series MODIS NDVI of winter wheat and summer maize, this paper proposed a model to extract the distribution of winter wheat and summer maize based on NDVI apex and valley characters. The threshold of winter wheat at county level in the model was derived with the density cutting method using the agricultural statistical data of planting area and MODIS NDVI data. The relationship between threshold and latitude was proposed, which reflects the controlling role of latitude to temperature and crop growth. Then, the threshold of winter wheat at the pixel level was estimated using the above-mentioned relationship. Using this threshold, we get the distribution of winter wheat. The accuracy evaluation using 90 stations showed that the overall areal resolution is about 91.15% and the accuracy at county scale is averaged as 67.52%. The distribution of summer maize was extracted using the threshold at county level. The distribution map demonstrated that the coverage of winter wheat and summer maize were affected by the growing condition at local region. Most of them appeared at plain, but less of them distributed at the region with bad condition such as rugged and salt-affected seaside area. In the yanshan and taihangshan mountainous area, the land surface is rugged with high slope, thin soil and poor irrigation condition. So, the amount of crops is limited in this area. Otherwise, in the plain area before the mountain area and the lower plain the winter wheat and summer maize were widely planted with percentage more than 60%. Lastly, in the coastal area near bohai gulf which was affected by salt, the crops were rare in distribution.
机译：种植园地图是农业研究和生产的基础数据。在该研究和应用领域中，遥感是一种快速，经济且不可替代的工具。通过利用农业气象站的数据对冬小麦和夏玉米的物候分析，以及对冬小麦和夏玉米的8天时间序列MODIS NDVI的特征分析，提出了一种提取分布的模型NDVI顶点和山谷特征的冬小麦和夏玉米品种。利用种植面积农业统计数据和MODIS NDVI数据，采用密度削减法推算出模型中县级冬小麦的阈值。提出了阈值与纬度之间的关系，它反映了纬度对温度和作物生长的控制作用。然后，使用上述关系估计像素水平的冬小麦阈值。使用此阈值，我们可以获得冬小麦的分布。使用90个站点进行的准确性评估表明，总体区域分辨率约为91.15％，而县级范围的准确性平均为67.52％。利用县级阈值提取夏季玉米的分布。分布图表明，冬小麦和夏玉米的覆盖率受当地生长条件的影响。它们大多数出现在平原上，但分布在状况不佳的地区，例如崎and和受盐影响的海边区域，很少。在燕山和太行山山区，地势崎slope，坡度高，土壤薄，灌溉条件差。因此，该地区的农作物数量有限。否则，在山区和低平原之前的平原地区，冬小麦和夏季玉米被广泛种植，比例超过60％。最后，在受盐影响的渤海湾附近沿海地区，农作物的分布稀少。

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