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中国农情遥感速报系统
引用本文:吴炳方.中国农情遥感速报系统[J].遥感学报,2004,8(6):481-497.
作者姓名:吴炳方
作者单位:中国科学院,遥感应用研究所,北京,100101
基金项目:中国科学院95重大项目(KZ951A130202),特别支持项目(KZ95T0302),中国科学院知识创新项目:全球农作物遥感估产研究(KZCX2313),科技部国家十五科技攻关课题:农业信息资源开发与共享技术研究(2001BA513B02)
摘    要:介绍了中国农情遥感速报系统的建设情况 ,系统内容包括农作物长势监测、农作物种植面积监测、农作物单产预测与粮食产量估算、作物时空结构监测和粮食供需平衡预警等。简要介绍了 1998年以来中国农情遥感速报系统在监测内容与监测范围、监测频率、技术发展以及质量控制与过程检验体系建立等方面的进展 ,并就中国农情遥感速报系统的发展方向提出了展望。

关 键 词:农情遥感  监测  中国
文章编号:1007-4619(2004)06-0481-17
收稿时间:2004/3/26 0:00:00
修稿时间:2004年3月26日

China Crop Watch System with Remote Sensing
WU Bing-fang.China Crop Watch System with Remote Sensing[J].Journal of Remote Sensing,2004,8(6):481-497.
Authors:WU Bing-fang
Institution:Institute of Remote Sensing Applications,CAS,Beijing 100101
Abstract:The paper introduces China Crop Watch System with Remote Sensing (CropWatch),including its contents, technical innovation and operational development, validation and future activities. Crop Watch contents 5 components, consisting of crop condition monitoring, crop acreage estimation and yield prediction, grain production estimation, cropping index and crop structure monitoring, and drought monitoring. Each component is described briefly in this paper and detailed in following papers. Since 1998, the CropWatch has been put in operation. Each year, there are 7 monthly bulletins released, covering crop condition, crop acreage and yield, drought, agro-meteorology, cropping index and crop structure, and also grain production. And there are 21 10-days announcements released, covering drought and crop condition. During the operational period since 1998, the technology used by the CropWatch are consistently improved. All AVHRR image from 1991 are processed for calibration and correction precisely which began in 2000, including sensor calibration, zenith correction, cloudy detection and masking, geometric correction, atmospheric correction, BRDF correction,and NDVI and surface temperature calculation. The CropWatch uses both different image and growing profile of NDVI to monitor the crop condition, estimates crop acreage using remote sensing and sampling technique based on stratification. The cluster-sample framework is used to estimate plant proportion with TM and Radarsat image as samples, and transect-sampling framework is used to survey crop type proportion in planted-area. At the same time, The Crop Watch continuously expands its monitoring area. From 1998 to 2003, its monitoring area has been expanded from east China to national wide, to north and south America, to Australia and Thailand. Meanwhile, the Crop Watch continuously expands its monitoring contents, from crop condition monitoring, crop acreage estimation and crop yield prediction, to grain production, crop structure, and cropping index. The Crop Watch has its own validation programme. Each year, a few validation sites have been selected to do the field measurement for verifying specific results. For example, in 1999, Jiangning in South China were Dehui in North China were two sites. The crop LAI every 10 days and crop type proportion have been measured to verify the crop condition and crop acreage. Validation shows that the accuracy are up to 97% for plant proportion and 95 crop type proportion.
Keywords:CropWatch  monitoring  China
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