摘要
积雪面积比例(Fractional Snow Cover,FSC)是定量描述单位像元内积雪覆盖面积(Snow Cover Area,SCA)与像元空间范围的比值。本数据集利用Google Earth Engine(GEE)平台,将MODIS全球地表反射率产品MOD09GA作为源数据,建立FSC与归一化植被指数(Normalized Difference Snow Index,NDVI)和归一化积雪指数(Normalized Difference Snow Index,NDSI)的线性回归经验模型BV-BLRM(Based NDVI Bivariate Linear Regression Model,BV-BLRM)。该模型制备的积雪面积比例数据较MOD10A1 V6数据的均方根误差提高了45%。基于该模型制备了泛北极地区(北纬45°至北纬90°)积雪面积比例时序数据。本数据集时间序列为2000年2月24日至2019年11月18日,时间分辨率为1天,空间分辨率为1 km。本数据集可以为区域气候模拟、水文模型等提供积雪分布的定量信息。
Fractional snow cover(FSC)is a quantitative description of the ratio of snow cover area(SCA)per image element to the spatial extent of the image element.Using the MODIS global surface reflectance product MOD09GA as the source data,this dataset takes advantage of the Google Earth Engine(GEE)platform to establish the Based NDVI Bivariate Linear Regression Model(BV-BLRM)showing the relation between the FSC and the Normalized Difference Snow Index(NDVI),and the Normalized Difference Snow Index(NDSI).Compared with the Root Mean Square Error(RMST)of MOD10A1 V6 data,the RMST of the FSC data prepared by the BV-BLRM has increased by 45%.Based on the model,we obtained a dataset of MODIS-based daily FSC time-series data with one kilo-meter spatial resolution in the Holarctic region(45°N to 90°N).The time series of this dataset is from February 24,2000 to November 18,2019,with a temporal resolution of one day and a spatial resolution of one km.The dataset is expected to provide quantitative information of snow distribution for regional climate simulation,hydrological models,etc.
作者
马媛
王建
赵宏宇
邵东航
王卫国
李浩杰
李弘毅
MA Yuan;WANG Jian;ZHAO Hongyu;SHAO Donghang;WANG Weiguo;LI Haojie;LI Hongyi(Key Laboratory of Remote Sensing of Gansu Province,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,P.R.China;University of Chinese Academy of Sciences,Beijing 100049,P.R.China;Beijing Normal University,Beijing 100875,P.R.China;Northwest Normal University,Lanzhou 730070,P.R.China;Qinghai Key Laboratory of Disaster Prevention and Mitigation,Xining 810000,P.R.China)
基金
青海省防灾减灾重点实验室开放基金(QFZ-2021-G01)
国家自然科学基金(42171391)
青海省基础研究项目(2020-ZJ-731)
科技基础资源调查专项(2017FY100503)。
