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中国农学通报 ›› 2015, Vol. 31 ›› Issue (5): 220-227.doi: 10.11924/j.issn.1000-6850.2014-2279

所属专题: 小麦

• 农业科技信息 • 上一篇    下一篇

基于新遥感数据源的县域冬小麦种植面积提取

田海峰,王力,牛铮,秦耀辰   

  1. 中国科学院遥感与数字地球研究所,中国科学院遥感与数字地球研究所/遥感科学国家重点实验室,中国科学院遥感与数字地球研究所/遥感科学国家重点实验室,河南大学环境与规划学院
  • 收稿日期:2014-08-20 修回日期:2015-02-05 接受日期:2014-09-29 出版日期:2015-03-20 发布日期:2015-03-20
  • 通讯作者: 田海峰
  • 基金资助:
    国家“973”计划“植被理化参数垂直分布遥感探测机理”(2013CB733405);国家自然科学基金“基于高分辨率逐日模拟遥感数据的农作物物候参数精确提取研究”(41371358)

Winter Wheat Planting Area Extraction Based on New Remote Sensing Data at County Level

  • Received:2014-08-20 Revised:2015-02-05 Accepted:2014-09-29 Online:2015-03-20 Published:2015-03-20

摘要: Landsat-8卫星的成功发射为农业遥感提供了新的重要数据源。以虞城县为研究区域,探讨基于Landsat-8影像估算县域冬小麦种植面积的可靠性,讨论不同分辨率影像的提取精度。选取冬小麦起身生拔节长期的影像以最大程度的扩大冬小麦与背景地物的波谱差异,根据波谱特征构建提取冬小麦种植面积的决策树模型。结果表明:与统计数据对比,使用30 m空间分辨率影像提取的精度为96.30%,使用15 m空间分辨率影像提的取精度达到99.17%,该方法可为县域冬小麦面积提取提供技术支撑。

关键词: 农村中小企业融资 融资策略 信用担保 信用信息公开, 农村中小企业融资 融资策略 信用担保 信用信息公开

Abstract: Abstract: Successful launch of the Landsat-8 satellite provides important new data source for agricultural remote sensing. Taking Yucheng County as the study area, to explore winter wheat planting area estimation method at county level based on Landsat-8 imagery. In order to expand the differences of spectrum feature between winter wheat and other surface features, select the imagery when winter wheat up growing season. According the spectral features differences between kinds of surface features to construct decision tree model of extraction winter wheat planting area. The results showed that: the extraction accuracy was 96.30% using of the original imagery of 30 m spatial resolution , the extraction accuracy was 99.17% using of the fusion imagery of 15 m spatial resolution, this method can provide technical support for the county's winter wheat area extraction.