摘要
为了解决积雪反演研究中常用的二值积雪分类法存在误差较大的问题,根据松嫩平原黑土区的独特地理环境,并在充分考虑地表类型的情况下,将中分辨率成像光谱仪(Moderate-resolution imaging spectroradiometer,MODIS)影像作为数据源、陆地成像仪(Operational land imager,OLI)影像视为"真值"数据,建立松嫩平原黑土区MODIS像元积雪覆盖率与归一化雪盖指数(Normalized difference snow index,NDSI)值之间的线性回归关系模型。结果表明,与MOD10A1积雪面积比例数据(Fractional snow cover,FSC)相比,反演模型雪盖率的误差分析结果得到改善,能够更好地满足当前积雪反演研究的现实要求。亚像元雪盖率估算模型在一定程度上提高了松嫩平原黑土区雪盖面积监测的精度,为该地区春季墒情预报、农业耕种提供了科学依据。
Snow is a unique environmental factor in the seasonal snow-covered area. The snow parameter inversion using remote sensing data has great significance on the researches of regional soil moisture forecast,hydrology,climate,etc. The problem of great error exists in the binary classification method commonly used in snow retrieval research. According to the unique geographical environment and the surface type in the black soil region of Songnen Plain,the MODIS images were chosen as data source,and the OLI images were regarded as＂true value＂data. Then the linear regression relation model between snow cover fraction from MODIS and NDSI was established in black soil region of Songnen Plain. The results showed that the adaptability of the MOD10 A1 FSC data was weak in the study area. The FSC data was 80. 21% which had a big difference compared with the snow cover fraction of OLI images（ 87. 71%）at the same time phase. The correlation coefficient between the FSC data and OLI images was only 0. 58.The snow cover fraction of the inversion model built in the study was 85. 28% which was close to that of OLI images at the same time phase. The correlation coefficient between the snow cover fraction of the inversion model and OLI images was 0. 66. In addition,compared with the MOD10 A1 FSC data,the error statistics results,including root mean square error and mean absolute error of the inversion model were decreased significantly. The estimation model of snow cover fraction based on sub-pixel improved the monitoring accuracy of snow cover in black soil region of Songnen Plain to a certain extent,which can better satisfy the reality requirement to the current snow retrieval research. The research result provided a scientific basis for the soil moisture forecast in spring and agricultural cultivation in this region.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2018年第2期299-304,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金项目(51579045
51679039)
黑龙江省自然科学基金项目(D201403)
黑龙江省普通本科高等学校青年创新人才培养计划项目(UNPYSCT-2015006)
东北农业大学"学术骨干"基金项目(16XG10)
黑龙江省博士后科研启动基金项目(LBH-Q16017)
作者简介
王子龙（1982-），男，副教授，主要从事寒区农业水土资源高效利用研究，E-mail：wangzilong@neau．edu．cn;通信作者：付强（1973-），男，教授，博士生导师，主要从事农业水土资源优化利用与管理研究，E-mail：fuqiang0629@126．com
