一个新的高分辨率的全球地形因素数据集,基于SRTM计算
Yuwei Sun1, Hongming Zhang2,3,4, Qinke Yang5
1College of Information Engineering, Northwest A & F University, Shaanxi, 712100, China.
Scientific data
|January 20, 2024
概括
一个新的全球数据集 (DS-LS-GS1) 和方法 (LS-WPC) 通过准确计算斜坡长度和度 (LS-因子) 而无需复杂的数据投影,提高了土壤侵蚀建模,提高了效率.
科学领域:
- 地球和环境科学 地球和环境科学
- 地质形态学 地质形态学
- 土壤科学 土壤科学
背景情况:
- 地形学显著影响土壤侵蚀,在像中国土壤损失方程这样的模型中,通过斜坡长度和度 (LS-因子) 来量化.
- 现有的全球LS因子数据集很少,目前的估计方法存在预测错误和高计算成本.
研究的目的:
- 引入一个全球高分辨率 (1弧秒) 的LS因子数据集 (DS-LS-GS1).
- 提出一个改进的LS-因子估计方法,没有投影转换 (LS-WPC).
- 开发一个集成的软件工具 (LS-TOOL) 用于LS-因子计算.
主要方法:
- 开发了LS-WPC方法,直接从地形数据中估计LS因子,避免球形到平面网格投影.
- 在1弧秒分辨率创建了DS-LS-GS1数据集.
- 验证了LS-WPC方法与数学表面以及跨不同地理区域的验证.
主要成果:
- 在数学表面上,LS-WPC方法表现出高精度,误差小于1%.
- 在五种地形类型中,LS因子估计的R平方值在0.82到0.84之间.
- 与传统方法相比,计算效率提高了高达25.52%.
结论:
- DS-LS-GS1数据集和LS-WPC方法为全球土壤侵蚀评估提供了重大进展.
- 提高了LS-WPC的准确性和效率,使得土壤侵蚀模型更可靠,更快速.
- 这项工作为了解和缓解全球土壤侵蚀提供了高质量的输入数据,这对了解和缓解全球土壤侵蚀至关重要.
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