生态与农村环境学报 ›› 2014, Vol. 30 ›› Issue (4): 444-449.doi:

• 自然保护与生态 • 上一篇    下一篇

基于多时相遥感的蝗虫生境类型对蝗虫发生的影响

陈健,盛世杰,王文君,张雪红   

  1. 南京信息工程大学遥感学院
  • 收稿日期:2014-01-11 修回日期:2014-03-31 出版日期:2014-07-25 发布日期:2014-10-11
  • 通讯作者: 陈健 南京信息工程大学遥感学院 E-mail:chjnjnu@163.com
  • 作者简介:陈健(1978—),男,山东淄博人,副教授,博士,主要从事定量遥感、遥感与GIS 应用方面的研究。E-mail:chjnjnu@163.com
  • 基金资助:

    国家自然科学基金(40901239,41201461); 江苏高校优势学科建设工程资助项目

Study on Effect of Type of Locust Habitats on Locust Plague Based on Multi-Temporal Landsat TM Data

CHEN  Jian, SHENG  Shi-Jie, WANG  Wen-Jun, ZHANG  Xue-Hong   

  1. School of Remote Sensing,Nanjing University of Information Science&Technology
  • Received:2014-01-11 Revised:2014-03-31 Online:2014-07-25 Published:2014-10-11
  • Contact: CHEN Jian School of Remote Sensing,Nanjing University of Information Science&Technology E-mail:chjnjnu@163.com

摘要: 蝗虫生境类型与蝗虫的发生和成灾有着密切联系。对蝗虫生境类型进行正确划分,是研究蝗虫发生与生境关系机理以及进行蝗灾预测预警的关键。综合利用1992-2010年7景LandSat TM数据,利用改进的蝗虫生境类型提取方法,对3个典型历史时期(1992、2000和2009年)渤海新区蝗虫生境进行分类,并结合气象数据对蝗虫发生的影响因素作了分析。研究表明改进的蝗虫生境类型提取方法充分利用多时相数据中植被的物候信息,较好地解决了关键生境类型识别中的同物异谱和同谱异物问题,3个时期蝗虫生境类型分类图分类总精度分别达到89.92%、90.84%和92.23%,Kappa系数分别为0.8695、0.8809和0.9047。对比分析显示,在研究时段芦苇地面积保持稳定,草地面积变大,在蝗虫大暴发时期达到596.2km2。进一步的分析表明,典型历史时期研究区蝗虫暴发是生境类型和气候因子综合影响的结果。2000年蝗虫大暴发的主要原因是草地面积增加和气候因子的促进作用;2009年蝗虫暴发程度减轻是由于苜蓿地面积增加、草地面积减少以及降水增加等因素共同作用的结果。

关键词: 蝗虫, 生境类型, 遥感, 东亚飞蝗

Abstract: Locust habitats have a close relationship with occurrence of locust plagues. Correct classification of locust habitats into types is a key step to study the relationship between locust and its habitat in prediction and early-warning of locust plagues. Based on the multi-temporal Landsat TM data of the New Bohai Development Zone of the years of 1992 -2010, locust habitats in the three typical historical periods in that region were classified and the modified locust habitat type extraction method and factors affecting occurrence of locust plagues were analyzed, taking into account the meteorological data of the period. Results show that this modified method makes full use of the vegetative phenological information in the multi-temporal data and fairly well solve the problems of the same-object-has-different-spectra-simultaneously and different-objects-have-the-same-spectrum in identifying critical habitat types. The locust habitat type classification maps of the periods reached 89.92%, 90.84% and 92.23% in overall accuracy, with Kappa factor being 0.8695, 0.8809 and 0.9047, respectively. Comparative analysis shows that during the three periods reed fields remained almost unchanged in area, while grasslands expanded to 596.2 km2 at the time of a large outbreak. Further analyses reveal that outbreaks of locust plagues during the period were a result of the joint effects of habitat types and climatic factors in the research area. For instance, in 2000, the outbreak of locust plague was mainly attributed to the higher temperature, less rainfall and expansion of grassland in area; while in 2009 a much small outbreak was to the expansion of alfalfa fields, shrinkage of grassland and more rainfall in the study area.

Key words: locust, habitat type, remote sensing, oriental migratory locust

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