国土资源遥感Issue(4)：54-61,8.DOI:10.6046/gtzyyg.2015.04.09
农作物种植面积遥感估算的影响因素研究
Important factors affecting crop acreage estimation based on remote sensing image classification technique
摘要
Abstract
It is necessary and valuable to study the effect of influencing factors of crop classification on crop acreage estimation from both qualitative and quantitative points of view. Therefore, the authors analyzed the resolution effect on the acreage estimation accuracy by using RapidEye imagery. Spatial statistics methods and manifold accuracy evaluation indices were used respectively to analyze the data with different index statistics of crop proportion, crop fragmentation and shape. The results show that decreased crop proportion and increased crop fragmentation and shape index will lead to reducing regional accuracy under all resolutions. And in order to keep the accuracy higher than 85%, we can select any resolution higher than 150 m data when the crop proportion is higher than 50%, so as to achieve the accuracy requirements. As merely improving resolution cannot guarantee the crop acreage estimation accuracy when the crop land exhibits long and narrow distribution, other technology must be adopted in this case. Finally the quantitative influence model of the four factors for crop acreage estimation accuracy is built. The results of this paper would provide academic reference for resolving the problem of data selection and accuracy improvement in crop acreage estimation by remote sensing.关键词
遥感估算/种植面积/农作物/影像分类/精度Key words
remote sensing estimation/planting acreage/crop/image classification/accuracy分类
信息技术与安全科学引用本文复制引用
张焕雪,李强子,文宁,杜鑫,陶青山,田亦陈..农作物种植面积遥感估算的影响因素研究[J].国土资源遥感,2015,(4):54-61,8.基金项目
国家自然科学基金项目“作物种植面积遥感估算不确定性研究”(编号:41071277)、中国科学院遥感与数字地球研究所所长青年基金(编号：Y3SJ7000CX)、湖南省国土资源厅基础测绘项目(编号:2012-8-1)和“十二五”国家科技支撑计划项目“大麻遥感监测技术与毒性诊断仪研制”(编号:2011BAK04B01)”共同资助。 （编号:41071277）
