基于多时相HJ卫星遥感影像的稻纵卷叶螟发生情况监测

doi:10.3969/j.issn.1000-6362.2016.04.011

中国农业气象 ›› 2016, Vol. 37 ›› Issue (04): 464-470.doi: 10.3969/j.issn.1000-6362.2016.04.011

基于多时相HJ卫星遥感影像的稻纵卷叶螟发生情况监测

包云轩，李玉婷，王琳，高文婷，朱凤

1.南京信息工程大学江苏省农业气象重点实验室，南京 210044；2.南京信息工程大学气象灾害预报和评估协同创新中心，南京 210044；3.江苏省植物保护站，南京 210013

收稿日期:2015-11-25 出版日期:2016-08-20 发布日期:2016-08-10
作者简介:包云轩(1963-)，博士，教授，博士生导师，主要研究方向为气候变化与防灾减灾、应用气象、病虫害测报学、遥感与资源环境信息系统。E-mail：baoyx@nuist.edu.cn；baoyunxuan@163.com
基金资助:
国家自然科学基金面上项目（41475106；41075086）；国家公益性行业（气象）科研专项（GYHY201306053）；江苏省农业科技自主创新项目（SCX（12）3058）；江苏省高校优势学科建设工程

Monitoring on the Occurrence of Cnaphalocrocis medinalis Based on Multi-temporal HJ Satellite’s Remote Sensing Images

BAO Yun-xuan, LI Yu-ting, WANG Lin, GAO Wen-ting, ZHU Feng

1.Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044;3.Jiangsu Province Plant Protection Station, Nanjing 210013

Received:2015-11-25 Online:2016-08-20 Published:2016-08-10

摘要/Abstract

摘要： 以江苏省高邮市汤庄镇2013年水稻田为研究区，以相同时期HJ-1A/1B卫星影像为数据源，提取研究区内水稻全生育期受稻纵卷叶螟危害的归一化植被指数（NDVI）、增强型植被指数(EVI)、近红外反射率（NIR）的光谱特征参数，揭示虫害发生及其演变特征，分析这些光谱特征参数与虫害发生、发展和危害程度之间的关系。结果表明：（1）稻纵卷叶螟虫害发生越严重，光谱特征参数变化越明显；（2）定性分析表明稻纵卷叶螟危害程度与两个田块的光谱特征参数差异均呈正相关关系。（3）对3个衡量指标和水稻卷叶率的定量相关分析表明，DNIR（正常水稻与受害水稻的NIR差值）与水稻卷叶率呈极显著相关（P<0.01），DEVI（正常水稻与受害水稻的EVI差值）与水稻卷叶率呈显著相关（P<0.05），而DNDVI（正常水稻与受害水稻的NDVI差值）与水稻卷叶率相关性不明显。可见，利用环境小卫星影像动态监测和预警稻纵卷叶螟的发生发展状况是可行的，可为虫害动态监测提供一种可能的方法。

关键词: 稻纵卷叶螟, HJ-1A/1B卫星, 归一化植被指数, 增强型植被指数, 高邮

Abstract:

Two experimental rice fields (one was used as a reference and the other was for target analysis) were conducted in Tangzhuang, Gaoyou of Jiangsu Province in 2013, and the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Near-infrared Spectroscopy (NIR) were used to characterize the occurrence and evolution of C. medinalis, which were calculated from the satellite HJ-1A/1B retrieval data. A series of analyses were performed to disclose the relationship among these three indices and the occurrence frequency, severity, and evolution of C. medinalis. The results showed as follows: (1) The more the numbers of C. medinalis, the higher the changes of such characteristic parameters. (2) The positive correlations were found between the damage of C. medinalis and the discrepancy of characteristic parameters in these two experimental fields. (3) Quantitative correlation analyses showed that DNIR and folding leaf rate had a highly significant correlation (P<0.01), and DEVI and folding leaf rate had a significant correlation (P<0.05). While there was not significant between DNDVI and folding leaf rate. Therefore, it was feasible to using HJ satellite images to monitor and warn the outbreak and development of C. medinalis, which provided a new possible method to monitor dynamically the damage of C. medinalis.

Key words: Cnaphalocrocis medinalis, HJ-1A/1B satellite, Normalized Difference Vegetation Index, Enhanced Vegetation Index, Gaoyou

包云轩，李玉婷，王琳，高文婷，朱凤. 基于多时相HJ卫星遥感影像的稻纵卷叶螟发生情况监测[J]. 中国农业气象, 2016, 37(04): 464-470.

BAO Yun-xuan, LI Yu-ting, WANG Lin, GAO Wen-ting, ZHU Feng. Monitoring on the Occurrence of Cnaphalocrocis medinalis Based on Multi-temporal HJ Satellite’s Remote Sensing Images[J]. Chinese Journal of Agrometeorology, 2016, 37(04): 464-470.

参考文献

[1]刘宇,王建强,冯晓东,等.2007年全国稻纵卷叶螟发生实况分析与2008年发生趋势预测[J].中国植保导刊,2008, 28(7):33-35. Liu Y,Wang J Q,Feng X D,et al.The analysis of the occurrence of rice leaf folder in 2007 and the prediction of the trend of it in 2008[J].China Plant Protection,2008,28(7):33-35. (in Chinese) [2]翟保平,张孝羲.水稻重大虫害的灾变规律及其预警:回顾与展望[J].昆虫知识,2000,37(1):41-45. Zhai B P,Zhang X X.The disaster and warning of major pest of rice:review and prospect[J].Entomological Knowledge, 2000, 37(1):41-45.(in Chinese) [3]张竞成,袁琳,王纪华,等.作物病虫害遥感监测研究进展[J].农业工程学报,2012,28(20):1-11. Zhang J C,Yuan L,Wang J H,et al.Research progress of crop diseases and pests monitoring based on remote sensing[J]. Transactions of the CSAE,2012,28(20):1-11.(in Chinese) [4]姚士桐,方志峰,陆志杰,等.不同监测方法对田间稻纵卷叶螟成虫的监测效果[J].中国植保导刊,2011,31(5):31-32. Yao S T,Fang Z F,Lu Z J,et al.The results of different monitoring methods on the adult of rice leaf folder[J].China Plant Protection,2011,31(5):31-32.(in Chinese) [5]杨浩,黄文江,王纪华,等.基于HJ-1A/1B CCD时间序列影像的水稻生育期监测[J].农业工程学报,2011,27(4):219-224. Yang H,Huang W J,Wang J H,et al.Monitoring rice growth stages based on time series HJ-1A/1B CCD images[J].Transactions of the CSAE,2011,27(4):219-224.(in Chinese) [6]吴继友,倪健.松毛虫危害的光谱特征与虫害早期探测模式[J].环境遥感,1995,10(4):250-258. Wu J Y,Ni J.Spectral characteristics of the pine leaves damaged by pine moth and a model for detecting the early damage[J]. Remote Sensing of Environment,1995,10(4):250- 258.(in Chinese) [7]杨建国,金晓华,郭永旺,等.遥感技术麦蚜监测应用研究[J].中国农学通报,2001,17(6):4-6. Yang J G,Jin X H,Guo Y W,et al.The applications research of wheat aphid based on remote sensing techniques[J].Chinese Agricultural Science Bulletin,2001,17(6):4-6.(in Chinese) [8]喻光明.渍害遥感识别的基本原理与方法[J].环境遥感, 1995,10(1):9-14. Yu G M.The basic principles and methods of remote sensing application of the identification of waterlog damage[J]. Remote Sensing of Environment,1995,10(1):9-14.(in Chinese) [9]Price K P,Jakubauskas M E.Spectral retrogression and insect damage in lodge pole pine successional forests[J]. International Journal of Remote Sensing,1998,19(8):627-632. [10]Silleos N,Perakis K,Petsanis G.Assessment of crop damage using space remote sensing and GIS[J].International Journal of Remote Sensing,2002,23(3):417-427. [11]吴曙雯,王人潮,陈晓斌,等.稻叶瘟对水稻光谱特性的影响研究[J].上海交通大学学报(农业科学版),2002,20(1):73-76. Wu S W,Wang R C,Chen X B,et al.Effects of rice leaf blast on spectrum reflectance of rice[J].Journal of Shanghai Jiaotong University(Agriculture Science),2002,20(1):73-76. (in Chinese) [12]石晶晶,刘占宇,张莉丽,等.基于支持向量机(SVM)的稻纵卷叶螟危害水稻高光谱遥感识别[J].中国水稻科学,2009, 23(3):331-334. Shi J J,Liu Z Y,Zhang L L,et al.Hyperspectral recognition of rice damaged by rice leaf roller based on support vector machine[J].Chinese Journal of Rice Science,2009,23(3):331- 334.(in Chinese) [13]Huang J R,Liao H J,Zhu Y B,et al.Hyperspectral detection of rice damaged by rice leaf folder (Cnaphalocrocismedinalis) [J]. Computers and Electronics in Agriculture,2012,82(1): 100-107. [14]Meigs G W,Kennedy R E,Cohen W B.A landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests[J]. Remote Sensing of Environment,2011,115(12) :3707-3718. [15]Goodwin N R,Coops N C,Wulder M A,et al.Estimation of insect infestation dynamics using a temporal sequence of Landsat data[J].Remote Sensing of Environment,2008,112 (9):3680-3689. [16]全国农业技术推广与服务中心.农作物有害生物测报技术手册[M].北京:中国农业出版社,2006:1-771. The National Agro-Tech Extension and Service Center.Technical manual for pest monitoring of crops[M].Beijing:Chinese Agriculture Press,2006:1-771.(in Chinese) [17]黄建荣,孙启花,刘向东.稻纵卷叶螟危害后水稻叶片的光谱特征[J].中国农业科学,2010,43(13):2679-2687. Huang J R,Sun Q H,Liu X D,et al.Spectral characteristics of rice leaves damaged by rice leaf roller[J].Scientia Agricultura Sinica,2010,43(13):2679-2687.(in Chinese) [18]Zhang J C,Luo J H,Huang W J,et al.Continuous wavelet analysis based spectral feature selection for winter wheat yellow rust detection[J].Intelligent Automation and Soft Computing,2011,17(5):531-540. [19]Huete A,Didan K,Miura T,et al.Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment,2002,83(1):195-213.

基于多时相HJ卫星遥感影像的稻纵卷叶螟发生情况监测

Monitoring on the Occurrence of Cnaphalocrocis medinalis Based on Multi-temporal HJ Satellite’s Remote Sensing Images

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 13

编辑推荐

Metrics

本文评价

[1]	吴运力, 张钰, 田佳榕. 气候变化和人类活动对内蒙古高原不同植被类型NDVI的影响[J]. 中国农业气象, 2023, 44(12): 1155-1168.
[2]	黄璐, 包云轩, 郭铭淇, 朱凤, 杨荣明. 稻纵卷叶螟危害下水稻叶片光谱特征及产量估测[J]. 中国农业气象, 2023, 44(02): 154-164.
[3]	周晓，包云轩，王琳，杜正朕，唐倩，陈粲. 稻纵卷叶螟为害水稻的冠层光谱特征及叶绿素含量估算[J]. 中国农业气象, 2020, 41(03): 173-186.
[4]	包云轩，陈心怡，谢晓金，王琳，陆明红. 基于卡尔曼滤波算法的稻纵卷叶螟短期预测模型[J]. 中国农业气象, 2016, 37(05): 578-586.
[5]	郭建茂，刘俊伟，童应祥，费敦悦，王迁. 基于MODIS的光化学植被指数反演水稻区域光能利用率[J]. 中国农业气象, 2016, 37(03): 368-375.
[6]	王卫东，赵青兰，李化龙，周辉. 基于FY-3 VIRR的温度植被干旱指数在陕西省的应用及其IDL实现[J]. 中国农业气象, 2015, 36(04): 513-520.
[7]	李颖，刘荣花，郑东东. 基于多源数据和决策树估算夏玉米种植面积[J]. 中国农业气象, 2014, 35(03): 344-348.
[8]	刘帆，申双和，杨炳玉，陶苏林. 不同土壤水分条件下玉米叶片/冠层气孔导度的光谱监测模型[J]. 中国农业气象, 2013, 34(06): 727-732.
[9]	陈艳英，唐云辉，张建平，游扬声，杨雪梅. 基于MODIS的重庆市植被指数对地形的响应[J]. 中国农业气象, 2012, 33(04): 587-594.
[10]	姚艳丽，傅玮东，邢文渊，杨秋莲. 基于MODIS资料的新疆土壤水分遥感应用研究[J]. 中国农业气象, 2011, 32(增刊): 161-164.
[11]	韩佶兴，王宗明，毛德华，宋开山，任春颖. 1982-2010年松花江流域植被动态变化及其与气候因子的相关分析[J]. 中国农业气象, 2011, 32(3): 430-436.
[12]	秦钟;章家恩;骆世明;张锦;. 温度影响下的稻纵卷叶螟实验种群动态的系统动力学模拟[J]. 中国农业气象, 2011, 32(02): 303-310.
[13]	白先达;唐广田;张雅昕;邹丽霞;蒋运志;. 稻纵卷叶螟发生的气象条件等级预报[J]. 中国农业气象, 2010, 31(04): 607-611.