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农作物分类成数的精度检验
引用本文:李强子,吴炳方,许文波.农作物分类成数的精度检验[J].遥感学报,2004,8(6):588-592.
作者姓名:李强子  吴炳方  许文波
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),科技部十五攻关课题(2001BA513B02),中国科学院遥感应用研究所领域前沿项目:样条采样框架的理论基础与精度检验方法研究
摘    要:选择山西太谷一个 5km× 5km的实验区 ,利用样条采样框架结合GVG农情采样系统调查农作物分类成数。同时借助QuickBird甚高分辨率遥感影像进行地面作物种植地块勾绘 ,并派出地面调查队伍进行作物填图 ,统计汇总出的农作物分类成数的真实值。然后将两种不同方法得出的分类成数进行对比 ,发现利用样条采样框架和GVG农情采样系统对于大宗粮食作物分类成数的调查相对误差在 3%以内 ,能够满足中国农情遥感速报系统的运行需要。而对于小成数作物的调查精度较低 ,且存在漏采现象 ,不能满足需求 ,同时也由于漏采现象的存在和图片判读的主观性。利用样条采样框架和GVG农情采样系统获取的大宗作物分类成数略大于真实值 ,存在少量的系统误差 ,需要进行地面验证并加以克服。

关 键 词:作物分类成数  精度检验  样条采样框架  GVG
文章编号:1007-4619(2004)06-0588-05
收稿时间:2004/3/26 0:00:00
修稿时间:2004年3月26日

Accruacy Assessment of Crop Type Proportion Using GVG Instrument on Transect Line
LI Qiang-zi,WU Bing-fang and XU Wen-bo.Accruacy Assessment of Crop Type Proportion Using GVG Instrument on Transect Line[J].Journal of Remote Sensing,2004,8(6):588-592.
Authors:LI Qiang-zi  WU Bing-fang and XU Wen-bo
Institution:Institute of Remote Sensing Applications,CAS,Beijing 100101;Institute of Remote Sensing Applications,CAS,Beijing 100101;Institute of Remote Sensing Applications,CAS,Beijing 100101
Abstract:In this paper,we selected a test area about 5km by 5km in Taigu of Shanxi Province to assess the accuracy of crop type proportion obtained with GVG instrument on transect line. Roads on the QuickBird imagery were digitized with length of 255km, and 16.4km of the roads were selected as transect line for field sampling.The sampling ratio was about 6.4%. Crop type proportion for each crops was obtained using GVG instrument on the transect line.323 pictures were taken with clear crop identification. The density of taking picture was about 1 picture for every 50 meter. At the same time, the intensive field works were taken to map the crop pattern in detail. QuickBird imagery was used to make parcel map with a unique identity code. Field survey recorded the crop type for each parcel. If more than one crop exist in a parcel,the proportions are assigned to different crops. The crop type proportion can be calcuated with detailed crop pattern map. By comparing the crop type proportion derived from sampling and mapping,we could draw conclusions; Crop type proportion from GVG instrument on transect line has a very high accuracy for main crops, 98.7% for maize, 98.98% for soybean and 95 12% for vegetables. The accuracy is acceptable for the operational use of China Crop Watch System. For other crop types with low proportion, the accuracy is low and cannot be used in China Crop Watch System. This means GVG instrument can only be used to obtain the main crop proportion. Crop type proportion from GVG instrument on transect line is somewhat larger than the true values, this means that the missing samples for some crop types with low proportion. In Taigu test area, sesame, cottage and some medicinal vegetables are not sampled on transect line with GVG instrument
Keywords:crop type proportion  accuracy assessment  transect sampling framework  GVG
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