CAJ | 학술논문

针对不同的农作物种植结构区，研究影响遥感影像分类各因素与农作物种植面积估算精度的定性和定量关系是十分必要的。以RapidEye影像提取的早稻种植信息为研究对象，从农作物的种植成数、种植破碎度和地块形状指数3个角度进行了不同空间分辨率下各因素对农作物面积监测的影响研究。结果表明：随着农作物种植成数的降低，种植结构越来越破碎，种植地块趋于狭长分布，各分辨率下农作物面积估算精度均呈递减趋势；要达到85%以上的面积估算精度，当作物种植成数在50%以上时，可选取高于150 m分辨率的遥感数据；当作物种植较为破碎时，需要在提高影像空间分辨率的同时融入其他技术手段；当作物种植地块为狭长分布时，提高影像的空间分辨率并不能保证面积估算精度，必须通过其他技术手段达到精度要求；并最终得到了4种影响因素对面积估算精度的定量评估模型。研究结果为解决不同农作物种植结构区遥感数据的选择、面积估算精度的提高，以及在特定研究区和数据源条件下可达到的面积估算水平等问题提供了理论基础。
침대불동적농작물충식결구구，연구영향요감영상분류각인소여농작물충식면적고산정도적정성화정량관계시십분필요적。이RapidEye영상제취적조도충식신식위연구대상，종농작물적충식성수、충식파쇄도화지괴형상지수3개각도진행료불동공간분변솔하각인소대농작물면적감측적영향연구。결과표명：수착농작물충식성수적강저，충식결구월래월파쇄，충식지괴추우협장분포，각분변솔하농작물면적고산정도균정체감추세；요체도85%이상적면적고산정도，당작물충식성수재50%이상시，가선취고우150 m분변솔적요감수거；당작물충식교위파쇄시，수요재제고영상공간분변솔적동시융입기타기술수단；당작물충식지괴위협장분포시，제고영상적공간분변솔병불능보증면적고산정도，필수통과기타기술수단체도정도요구；병최종득도료4충영향인소대면적고산정도적정량평고모형。연구결과위해결불동농작물충식결구구요감수거적선택、면적고산정도적제고，이급재특정연구구화수거원조건하가체도적면적고산수평등문제제공료이론기출。
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.