中国东北地区时间序列雪盖监测数据集

东北地区是我国三大稳定积雪区，区域尺度的雪盖时空变化监测对水资源的有效利用和雪灾监测和预警具有重要意义。本数据集在近10 年美国地球观测卫星TERRA/AQUA-MODIS 数据基础上经算法改进，自定义生产MODIS Terra/Aqua 双星逐日融合数据（MODISDC）和滑动多日融合数据（MODISMC）两种基础数据，并且反演积雪天数(Snow Cover Day, SCD)、积雪初日(Snow OnsetDate, SCOD)和融雪终日(Snow Melting Date, SCMD)三类专题数据。利用气象站台实测逐日积雪深度数据，考虑云覆盖的影响，对MODIS 双星逐日合成产品和滑动多日合成进行检验，总体精度分别为47.51% 和76.52 %，明显高于MODIS 原始数据MOD10A1（34.45%）和MYD10A1（30.57%）。Northeast China is one of the three regions with stable snow cover in China. Spatiotemporal variation monitoring of snow cover at the regional scale is of great significance for the effective utilization of water resources, as well as snow disaster monitoring and early warning. Based on MODIS data from NASA's Earth Observation Satellites TERRA and AQUA over the past decade and with algorithm improvements, this dataset independently produces two types of basic datasets: daily merged data (MODISDC) from the MODIS Terra/Aqua dual satellites and sliding multi-day merged data (MODISMC). Additionally, it retrieves three thematic datasets: Snow Cover Day (SCD), Snow Onset Date (SCOD), and Snow Melting Date (SCMD). Using the in-situ daily snow depth data measured by meteorological stations and considering the impact of cloud cover, this dataset validates the MODIS dual-satellite daily synthesized product and the sliding multi-day synthesized product. The overall accuracies are 47.51% and 76.52% respectively, which are significantly higher than those of the original MODIS data MOD10A1 (34.45%) and MYD10A1 (30.57%).

搜集汇总

背景与挑战

背景概述

该数据集是一个基于2003年至2013年TERRA/AQUA-MODIS卫星数据的时间序列雪盖监测数据集，覆盖中国东北地区，空间分辨率为500米。通过算法改进生成了日融合和多日融合两种基础数据类型，并提取了雪盖天数、初雪日和融雪日等专题信息，整体精度显著高于原始MODIS产品，适用于水资源利用和雪灾监测研究。