数据集(库)目录

出版期刊|区域分类

2021年第12期
2019年第02期
数据详情

多源数据融合计算积雪覆盖数据集—以美国西北部试验区为例(2000-2020)


高杨1董怀伟1,2
1中国科学院青藏高原研究所环境变化与地表过程重点实验室,北京1001012山东科技大学测绘与空间信息学院,青岛266590

DOI:10.3974/geodb.2022.02.08.V1

出版时间:2022年2月

网页浏览次数:749       数据下载次数:9      
数据下载量:3793.11 MB      数据DOI引用次数:

关键词:

积雪覆盖,多源数据,日频率,2000-2020,美国西北部

摘要:

全面准确地认识积雪动态变化,对制定积雪变化应对措施,合理的进行持续变暖下区域水资源管理,加深全球气候变化科学认识等具有重要意义。作者基于MODIS最新版本的NDSI数据、IMS雪冰数据和192个SNOTEL站点地面积雪观测数据,依据美国西北部积雪特征确定了适于该区域的NDSI积雪判识阈值,针对各数据在不同时间段的积雪判识性能制定了不同的融合规则,提出了多源数据融合算法,得到多源数据融合计算积雪覆盖数据集——以美国西北部试验区(2000-2020)为例。验证结果表明,该融合算法得到的数据较源数据精度有所改善、积雪判识综合性能得到提高。数据集内容包括:(1)试验区边界数据;(2)试验区2000-2020年每天的积雪覆盖数据(空间分辨率为500 m)。另附雪深验证点数据。数据集存储格式为.tiff、.shp、.xlsx和.txt,共由7,688个数据文件组成,数据量为170 GB(压缩为1个文件,421 MB)。

基金项目:

科学技术部(2017YFA0603303);国家自然科学基金(42171136)

数据引用方式:

高杨, 董怀伟. 多源数据融合计算积雪覆盖数据集—以美国西北部试验区为例(2000-2020)[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2022. https://doi.org/10.3974/geodb.2022.02.08.V1.

参考文献:

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数据下载:

序号 数据名 数据大小 操作
1 SnowCoverTest_2000-2020.rar 431572.12KB
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