利用夏玉米端元丰度估算夏玉米种植面积的研究

发布时间：2018-03-20 02:35

本文选题：MERSI　切入点：EVI　出处：《遥感技术与应用》2017年05期 　论文类型：期刊论文

【摘要】：以河南省鹤壁市为研究区,以FY3/MERSI数据为主要遥感信息源,采用基于光谱匹配的自适应最佳端元组合混合像元分解方法提取夏玉米端元丰度值,构建像元中夏玉米端元丰度值和夏玉米种植面积百分比值之间多种方程形式的回归模型,综合模型建立时的相关系数、显著性水平和验证样点的均方根误差情况,选择立方模型对研究区夏玉米种植面积进行估算。经验证,遥感估算的夏玉米种植面积精度为97.1%,位置精度为82.5%。研究结果可为采用中低空间分辨率遥感数据在种植结构复杂地区准确估算大范围作物的种植面积提供科学基础。
[Abstract]:Taking Hebi City, Henan Province as the research area and FY3/MERSI data as the main remote sensing information source, the adaptive optimal combination pixel decomposition method based on spectral matching was used to extract the end element abundance of summer maize. The regression models between the abundance value of summer maize end element and the percentage value of planting area of summer maize in the middle pixel were constructed, and the correlation coefficient, significance level and root mean square error of the sample point were synthesised when the model was established. The cubic model is selected to estimate the planting area of summer maize in the study area. The precision of planting area of summer maize estimated by remote sensing is 97.1cm, and the precision of position is 82.5.The results can provide a scientific basis for using remote sensing data with low and middle spatial resolution to accurately estimate the planting area of large-scale crops in areas with complex planting structure.
【作者单位】：中国气象局河南省农业气象保障与应用技术重点实验室;河南省气象科学研究所;河南省气象局;北京超图软件股份有限公司成都分公司;
【基金】：中国气象局/河南省农业气象保障与应用技术重点实验室开放基金(AMF201608;AMF201507;AMF201708) 风云三号应用示范系统项目(FY-3(02)-UDS-1.8.2) 河南省气象局气象科学技术研究项目(Z201607)资助
【分类号】：S513;TP79

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