摘要
为了给农业部门提供准确的冬小麦产量评估,应用安徽省淮河流域4月底和5月初双极化星载合成孔径雷达(SAR)影像——RADARSAT-2和该区域冬小麦收割前(5月底)试验田产量资料,应用不同拟合方法建立冬小麦产量和2个时相(4月底和5月初)后向散射系数关系的估产模型;选择其余试验田对其检验,优选出最佳的估产模型,实现冬小麦大面积估产。结果表明,经计算得到了超过80%精度的估产模型和冬小麦较准确的估产结果。说明在冬小麦收割前1个月左右应用SAR进行估产,这种思路和方法是行之有效的。
In order to provide winter wheat yield assess for agriculture department, experimental fields of winter wheat yield data in May before harvest, and the synthetic aperture radar （SAR）double polarized： RDARSAT-2 that were photographed in April and May in Huaihe River Region were adopted for winter wheat yield estimating. Then yield estimating model was established using different fitting methods between winter yield and backscatter coefficient of 2 time phase. The other experimental fields were chosen to test estimating models. Finally, best estimating model was chosen to accomplish winter wheat yield estimating. The results showed that： exceeding 80% precision yield estimating model and yield estimating result were obtained. Using SAR for yield estimating about a month before harvest, it illustrated these ideas and methods were effective.
出处
《中国农学通报》
CSCD
2014年第20期284-289,共6页
Chinese Agricultural Science Bulletin
基金
国家自然科学基金资助项目"气象探测环境代表性的高分辨率卫星遥感评估方法研究"(41205126)
农业部农业信息服务技术重点实验室2013年开放课题"基于星载合成孔径雷达的安徽省淮河流域冬小麦估产模型研究"(2013-AIST-02)
安徽省农业科学院学科建设与宏观农业研究项目"基于RADARSAT-2和HJ星的安徽省淮河流域冬小麦估产模型研究"(13A1424)
