作物学报2012，Vol.38Issue(1)：129-139,11.DOI:10.3724/SP.J.1006.2012.00129
棉花黄萎病疑似病田的卫星遥感监测——以TM卫星影像为例
Monitoring Cotton Field with Suspected Verticillium wilt Using Satellite Remote Sensing with TM Satellite Image as an Example
摘要
Abstract
The cotton fields of suspected disease were diagnosed and classed through analyzing and electing best period (single period) in multi-temporal information of TM image, which would provide the technology support to take the active measurements for cotton industry and increase the yield and efficiency of cotton production. Multi-temporal satellite images and data of ground surveying were taken in research areas. On the basis of them, the best wave band and the best period used to recognize cotton fields infected disease were selected and the cotton fields with suspected Verticillium wilt were classified and tested. The results showed that the health and disease cotton fields had obvious difference in the major cotton growth stages, it was feasible to diagnose cotton field with disease through the interpretation symbol of satellite image. In addition, TM4 band of satellite could be regarded as the best wave band to monitor cotton field with disease; the peak boll forming sage (from the last ten-day of July to mid Aug.) could be regarded as the best period to monitor disease of cotton with TM image. On the basis of above analyses, using the supervised classification of parallelepiped, the cotton fields with suspected Verticillium wilt were divided into three classes: health, light disease and severe disease cotton fields. The proportions of cotton field infected disease were about 29% and 23% in two years, respectively. The tested results indicated the overall accuracy and kappa coefficient were both over 85% at the crucial growth periods in two years. The further analysis revealed the disease condition within cotton field infected Verticillium wilt could be reflected by the therriatic map of cotton disease. Thus, it is feasible to diagnose the cotton fields with suspected Verticillium wilt by multi-temporal satellite data.关键词
棉花/黄萎病/多时相/TM卫星/遥感监测Key words
Cotton/ Verticillium wilt/ Multi-temporal/ TM satellite/ Remote-sensing monitoring引用本文复制引用
陈兵,吕银亮,刁万英,王楷,王克如,李少昆,肖春华,王方永,苏毅,唐强,陈江鲁,金秀良..棉花黄萎病疑似病田的卫星遥感监测——以TM卫星影像为例[J].作物学报,2012,38(1):129-139,11.基金项目
本研究由国家自然科学基金项目(41161068,30860139,31071371)和新疆农垦科学院科技引导计划项目(YYD201102)资助. （41161068,30860139,31071371）
