自然资源遥感2026，Vol.38Issue(4)：56-65,10.DOI:10.6046/zrzyyg.2025264
基于时空数据融合的季节性积雪区高分辨率地表反照率数据生成方法
A method for generating high-resolution data on surface albedo in seasonal snow-covered areas based on spatiotemporal data fusion
摘要
Abstract
The surface albedo in seasonal snow-covered areas is characterized by rapid changes and significant spatiotemporal heterogeneity.Hence,surface albedo data with a high spatiotemporal resolution are required to monitor the freeze-thaw process of snow.However,constrained by sensor performance and inversion methods,existing surface albedo data exhibit a low spatiotemporal resolution,failing to meet the demand for the effective monitoring of spatiotemporal variations in seasonal snow albedo.To address this challenge,this study developed a method for generating high-resolution surface albedo data of seasonal snow-covered areas.Specifically,spatiotemporal fusion was conducted for surface albedo data estimated based on data from the Huanjing-1 A/B(HJ-1 A/B)minisatellites for environmental protection and disaster monitoring,as well as the Moderate Resolution Imaging Spectroradiometer(MODIS)and the Visible Infrared Imaging Radiometer Suite(VIIRS)satellites.Consequently,surface albedo data with high spatiotemporal resolutions of 1 d and 30 m were generated.The results indicate that the proposed method exhibited enhanced accuracy for snow-covered periods,significantly improving the spatiotemporal resolution of surface albedo data.This method can accurately capture the rapid changes and spatiotemporal heterogeneity of surface albedo in seasonal snow freeze-thaw processes,providing high-quality fundamental data for investigating regional hydrology and water resources.关键词
地表反照率/积雪/时空数据融合/多源遥感数据/高时空分辨率Key words
surface albedo/snow/spatiotemporal data fusion/multi-source remote sensing data/high spatiotem-poral resolution分类
信息技术与安全科学引用本文复制引用
王娇,王梦斯,赵紫薇,王沐楠,瞿瑛..基于时空数据融合的季节性积雪区高分辨率地表反照率数据生成方法[J].自然资源遥感,2026,38(4):56-65,10.基金项目
吉林省科技发展计划吉林省自然科学基金面上项目"东北黑土区保护性耕作措施对地表辐射能量平衡的影响机制研究"(编号:20260102030JC)、吉林省教育厅博士研究生科研创新能力提升专项"基于深度学习和多源遥感数据的北极海冰融池智能识别算法研究"(编号:JJKH20262143BS)、国家自然科学基金项目"北极海冰反照率建模与遥感估算方法研究"(编号:41971287)和吉林省教育厅科学研究项目"面向季节性降雪区的高时空分辨率地表反照率遥感数据集生成方法研究"(编号:JJKH20231306KJ)共同资助. （编号:20260102030JC）
