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中国农学通报 ›› 2019, Vol. 35 ›› Issue (3): 69-75.doi: 10.11924/j.issn.1000-6850.casb17110118

• 农业科技信息 • 上一篇    下一篇

遥感光谱技术在农作物产量估算中的应用研究进展

王莺1, 巩垠熙2   

  1. 1.中国地震局第二监测中心;2.地理国情监测国家测绘地理信息局工程技术研究中心
  • 收稿日期:2017-11-27 修回日期:2018-12-28 接受日期:2018-01-02 出版日期:2019-01-28 发布日期:2019-01-28
  • 通讯作者: 巩垠熙
  • 基金资助:
    国家自然科学基金项目“光谱遥感数据农作物监测与粮食安全空间保障方法研究”(61661135003)。

Spectral Remote Sensing Technology Applied in Crop Yield Estimation: Research Progress

  • Received:2017-11-27 Revised:2018-12-28 Accepted:2018-01-02 Online:2019-01-28 Published:2019-01-28

摘要: 农作物产量是一个国家或地区的重要经济信息,关系着国家和区域粮食安全,对农业规划布局、政策调整及可持续发展等方面具有重要意义。农作物遥感估产主要包括作物识别和产量评估两项主要环节,文章通过总结农作物遥感识别与产量估算的研究现状,以其依据的特征不同、针对的目标不同对现有的作物识别分为两类进行总结;根据数据源与评估模型原理的区别将现有作物遥感估产方法总结为四类,对其方法、原理和应用要点进行总结,讨论分析了各类方法的优势和仍需完善的问题,并对今后的发展趋势进行了展望。

Abstract: Crop yield is an important economic information for a country or region, related to national and regional food security, which is of great significance to the layout of agricultural planning, policy adjustment and sustainable development. The remote sensing estimation of crop mainly includes crop identification and evaluation. This paper summarizes the research status of crop remote sensing identification and yield estimation, according to their different characteristics and targets summarizes existing crops by two categories. Based on the difference between data source and evaluation model principle, this paper summarizes existing crop yield estimation methods into four categories, summarizes methods, principles and application points to discussing and analyzing the advantages of various methods, presents the problem which still need to improve. Finally, this paper forecasts the research trend in this field.