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遥感技术与应用
遥感应用     
一种抗时序数据噪声的冬小麦识别方法研究
姜涛1,2,朱文泉1,2,詹培1,2,唐珂1,2,崔雪锋1,3,张天一4
(1. 北京师范大学地表过程与资源生态国家重点实验室,北京100875;2. 北京师范大学地理科学学部遥感科学与工程研究院,北京100875;3. 北京师范大学系统科学学院,北京100875;4. 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029)
An Anti noise Identification Methodfor Winter Wheat based on Satellite Time series Data
Jiang Tao,Zhu Wenquan,Zhan Pei,Tang Ke,Cui Xuefeng,Zhang Tianyi
(1.State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,
Beijing 100875,China;2.Institute of Remote Sensing Science and Engineering,Faculty of
Geographical Science,Beijing Normal University,Beijing 100875,China;3.School of Systems
Science,Beijing Normal University,Beijing 100875,China;4.State Key Laboratory of
Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,
 全文: PDF(6422 KB)  
摘要:
冬小麦是全球主要粮食作物之一,及时、准确地获取冬小麦的空间分布信息对于开展冬小麦长势监测、辅助宏观经济决策和应对全球气候变化下的粮食安全等方面具有重要意义。利用2014年9月30日至2015年6月26日冬小麦生长季内35个时相的MODISQ1数据产品,生成NDVI时间序列数据集,在物候分析的基础上选择识别特征,由此构建了一种抗时序数据噪声的冬小麦识别方法,将该方法应用于河南省的冬小麦提取,结果表明,整个研究区的冬小麦总体识别精度达到了93.0%,耕地地块规则区和破碎区的冬小麦识别精度分别为94.0%和86.0%;与传统的基于时间序列提取冬小麦的方法相比,新方法在不同滤波情景下的冬小麦识别精度均较高且稳定,说明该方法可用于基于植被指数时序数据的大范围冬小麦空间分布信息的快速提取,同时也为冬小麦提取工作的业务化实施提供了新的技术支撑。
关键词: 遥感MODISNDVI时间序列冬小麦河南    
Abstract: China As one of the major crops in the world,the spatial distribution information of winter wheat plays an important role in monitoring winter wheat growth,assisting economic decisionmaking and addressing regional food security under climate change.This paper proposed a new antinoise identification method for winter wheat identification based on the 250 m MODISNDVI timeseries dataset during the period from September 30,2014 to June 26,2015.With the method,the spatial distribution of winter wheat in Henan province was extracted based on the analysis of winter wheat phenology.Results indicated that the total identification accuracy of winter wheat was 93.0%,94.0% and 86.0% for the whole study area,fragmentary land area and regular land area,respectively.Compared with the traditional identification method for winter wheat based on satellite timeseries data,the identification accuracies with the proposed method in different filtering scenarios were not only high but also similar to each other.It strongly proved that the new method had a good performance in noise immunity and stability and can be applied to the rapid extraction of winter wheat in a large scale based on satellite timeseries dataset.This new method provided a new technical support for the operational extraction of winter wheat.

Key words: Remote sensing    MODIS    NDVI    Time series    Winter wheat    Henan province
收稿日期: 2016-04-21 出版日期: 2017-09-13
:  TP 79  
基金资助: 国家重点基础研究发展计划项目(2015CB953603),国家自然科学基金项目(41371389),地表过程与资源生态国家重点实验室资助项目(2017FX01(1))。

作者简介: 姜涛(1991),男,山东惠民人,硕士研究生,主要从事资源环境遥感研究。Email:jiang_tao2014@mail.bnu.edu.cn。
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引用本文:

姜涛,朱文泉,詹培,唐珂,崔雪锋,张天一. 一种抗时序数据噪声的冬小麦识别方法研究[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2017.4.0698.

Jiang Tao,Zhu Wenquan,Zhan Pei,Tang Ke,Cui Xuefeng,Zhang Tianyi. An Anti noise Identification Methodfor Winter Wheat based on Satellite Time series Data. Remote Sensing Technology and Application, 10.11873/j.issn.1004-0323.2017.4.0698.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.4.0698        http://www.rsta.ac.cn/CN/Y2017/V32/I4/698

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