一个30米分辨率的全球土地生产力动态数据集从2013年到2022年
Xiaosong Li1,2, Tong Shen3,4, Cesar Luis Garcia5,6
1International Research Center of Big Data for Sustainable Development Goals, Beijing, China.
Scientific data
|April 1, 2025
概括
本研究介绍了第一个全球30米土地生产力动态 (LPD) 数据集. 这些高分辨率数据支持监测土地退化中性 (可持续发展目标15.3) 并使有针对性的干预措施成为可能.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析是什么
背景情况:
- 土地退化是一个关键的全球环境问题.
- 联合国的可持续发展目标15.3 (SDG 15.3) 旨在实现土地退化中立 (LDN).
- 目前的全球土地生产力动态 (LPD) 产品缺乏有效的SDG 15.3报告和本地干预所需的精细空间分辨率.
研究的目的:
- 创建一个高分辨率的全球土地生产力动态 (LPD) 数据集.
- 克服全球应用高分辨率卫星数据处理方面的挑战.
- 为监测实现土地退化中立 (可持续发展目标15.3) 的进展提供关键数据.
主要方法:
- 利用谷歌地球引擎进行大规模的数据处理.
- 使用Landsat-8和MODIS图像创建一个30米的NDVI数据集,使用空隙填充和Savitzky-Golay过.
- 应用了先进的时空过和FAO-WOCAT方法,从2013年到2022年产生全球30米LPD产品.
主要成果:
- 成功生成了第一个全球30米土地生产力动态 (LPD) 数据集.
- 该数据集涵盖了2013年至2022年的时间段.
- 生成的LPD产品与多个现有数据集进行了验证.
结论:
- 新的30米全球LPD数据集显著提高了SDG 15.3监测的能力.
- 这些高分辨率数据对于精细分析土地生产率趋势至关重要.
- 这些发现支持改善全球打击土地退化努力.
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