高分辨率SAR在喀斯特山地烟草生长建模中的应用探讨  

Application of High Resolution SAR to Tobacco Growth Modeling in Karst Mountainous Region

作　　者：贾龙浩 周忠发[1,2] 李波 

机构地区：[1]贵州师范大学中国南方喀斯特研究院,贵阳550001 [2]贵州省喀斯特山地生态环境国家重点实验室培育基地,贵阳550001 [3]贵州省科技风险投资管理中心,贵阳550002

出　　处：《中国烟草科学》2013年第5期104-107,112,共5页Chinese Tobacco Science

基　　金：国家重点基础研究发展计划(973计划)课题(2012CB723202);中国烟草总公司贵州省公司科技项目(201013);贵州省国际科技合作计划项目{黔科合外G字[2012]7022}

摘　　要：为实现现代烟草农业快速监测,针对喀斯特山地多云多雨、地形支离破碎、作物种植复杂多样,导致常规遥感手段难以满足烟草生长监测需求的现状,提出了一种将高分辨率合成孔径雷达(SAR)应用于建立喀斯特山地烟草生长监测模型的方法。运用回归分析模拟,最终建立了基于高分辨率SAR影像亮度值的喀斯特山地烟草生长耦合监测模型。通过实例分析和实测数据验证发现,除旺长期叶长的回归模型外,在SAR亮度值与烟草各生长期的叶长、叶宽回归建模中,所建立的回归模型基本上能够反映其线性回归的耦合关系,能够满足研究区内云烟87品种的烟草生长状况监测。此方法为现代烟草农业大范围实时遥感监测提供新的研究思路。Due to the status of cloudy weather, fragmented terrain and diversified crop system in karst mountain region, the conventional remote sensing is difficult to meet the requirement for tobacco growth monitoring. To overcome these problems, we proposed a tobacco growth model monitoring method based on the brightness of the high resolution synthetic aperture radar （SAR） image in karst mountain region. Based on the high resolution SAR image brightness values in karst mountain region, the coupled model of tobacco growth monitoring used regression analysis simulation was established finally. The results from the example analysis and the measured data verification suggested that the established linear regression models between brightness values of SAR and the leaf length and width in the whole growth periods could reflect the linear regression basically, except the one of length in the vigorous growing period. In addition, the tobacco growth condition monitoring was promising for the Yunyan 87 in study area. This method provides a new research thought of large scale and real-time remote sensing monitoring for the modern tobacco agriculture.

关 键 词：高分辨率 SAR 喀斯特山地 烟草 建模 

分 类 号：S572[农业科学—烟草工业]