蒙继华, 吴炳方, 李强子, 钮立明, 张飞飞, 杜 鑫. 集成化的省级农情遥感监测系统[J]. 农业工程学报, 2011, 27(6): 169-175.
    引用本文: 蒙继华, 吴炳方, 李强子, 钮立明, 张飞飞, 杜 鑫. 集成化的省级农情遥感监测系统[J]. 农业工程学报, 2011, 27(6): 169-175.
    Meng Jihua, Wu Bingfang, Li Qiangzi, Niu Liming, Zhang Feifei, Du Xin. Integrated provincial crop monitoring system using remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(6): 169-175.
    Citation: Meng Jihua, Wu Bingfang, Li Qiangzi, Niu Liming, Zhang Feifei, Du Xin. Integrated provincial crop monitoring system using remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(6): 169-175.

    集成化的省级农情遥感监测系统

    Integrated provincial crop monitoring system using remote sensing

    • 摘要: 在“中国农情遥感速报系统(CropWatch-China)”的基础上,中国科学院遥感应用研究所开发了集成化的中国省级农情遥感监测系统(CropWatch-Province)。系统以遥感为主要数据源,在县、主产区和省3个尺度上进行农情信息的监测,包括作物长势、单产、种植面积、复种指数监测及作物估产、农气分析等,对系统的技术方法、结构、功能及其主要特点进行了详细论述。2010年系统通过“信息处理产品标准符合性检测中心”的检测,系统具有集成化程度高、灵活性强和应用新数据等特点。系统可以根据不同区域的特点进行灵活定制,通过集成化开发可以独立完成从数据预处理、科学计算、信息提取到结果输出的全部任务,并将包括HJ-1在内的一系列新数据应用于农情信息的获取。

       

      Abstract: Based on “CropWatch-China”, an integrated provincial crop monitoring system with remote sensing (CropWatch- Province) was developed. Taking remote sensing data as the major data source, the system can implement crop condition monitoring, crop yield prediction, crop acreage estimation, cropping index monitoring, agro-meteorological analysis and crop production prediction at the scale of county, main producing region and province. The methods, structure, function and major characteristics of the system were described in detail in the paper. The system passed the test of “Conformance Test Center for Information Technology Standards” in 2010. Three major characteristics were concluded from the system, which are high integration, flexible customization and the application of new satellite data. For flexible customization, the functions and the monitoring areas of the system can easily be customized according to users’ requirement; For high integration, the total missions of data pre-processing, scientific computation, information extraction and result output can be implemented with the system; For application of new satellite data, new data like HJ-1 can be processed and used for crop monitoring in the system.

       

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