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Updated: Jun 13, 2025

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从2000年到2023年,全球山区的雪覆盖现象学数据集从2000年到2023年
1Eurac Research, Institute for Earth Observation, Viale Druso 1, 39100 Bolzano, Italy.
Data in brief
|September 16, 2024
概括
这项研究使用MODIS图像引入了一个新的全球山地积雪数据集,提供了2000-2023年雪覆盖面积和现象学的关键数据. 此资源有助于研究气候变化对雪敏感环境的影响.
科学领域:
- 地球和环境科学 地球和环境科学
- 气候科学 气候科学
- 遥感 遥感 遥感 遥感
背景情况:
- 山地季节性积雪对水资源和生态系统至关重要.
- 气候变暖对敏感的山地积雪有重大影响.
- 需要一致,准确的全球数据集来监测积雪的变化.
研究的目的:
- 呈现全球山雪覆盖面积和现象学的综合数据集.
- 支持对气候变化对山地积雪的影响的大规模研究.
- 为了提供23年的一致,高分辨率的雪数据.
主要方法:
- 使用了中等分辨率成像光谱辐射仪 (MODIS) 图像 (集合6.1).
- 在全球山区的500米地面分辨率处理的数据 (GMBA形状文件).
- 采用二级自回归方法来进行雪景学插曲,以减轻云层覆盖的影响.
主要成果:
- 产生的年平均积雪覆盖面积 (SCA),积雪覆盖持续时间 (SCD),第一场积雪日 (FSD) 和最后一次积雪日 (LSD).
- 数据集涵盖了2000年10月至2023年9月的MODIS时间序列.
- 数据每年提供一次,与两个半球的水文年份保持一致.
结论:
- 该数据集为量化过去23年间的积雪变化提供了宝贵的资源.
- 允许研究雪盖变化的对水资源和植被现象学的影响.
- 有助于更好地了解气候变暖对全球山区环境的影响.
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