面对NDVI数据集一致性的挑战,以更好地描述植被对气候变化的反应
Sijing Qiu1, Martin Stefan Brandt2, Stephanie Horion2
1Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
The Science of the total environment
|May 25, 2024
概括
使用卫星数据检测生态系统变化需要仔细解释. 比较两个数据集显示,干旱严重影响了东欧亚草原的植被生产力,特别是在干旱过渡区.
科学领域:
- 地球观测科学 地球观测科学
- 生态生态学 生态生态学
- 气候科学 气候科学
背景情况:
- 在地球观测时间序列中检测非线性趋势对于理解陆地生态系统变化至关重要.
- 由于数据质量和文物影响,解释检测到的突然变化具有挑战性.
- 很少有研究研究了数据工件对解释突然变化的影响.
研究的目的:
- 分析东欧亚温带草原的非线性动态和转折点.
- 为了比较两个独立的卫星标准化差异植被指数 (NDVI) 数据集 (CGLS v3和MODIS C6) 的结果.
- 探索水资源在2001-2019年期间对植被变化的影响.
主要方法:
- 应用了Break For Additive Season and Trend (BFAST01) 方法用于非线性趋势检测.
- 使用两个卫星NDVI数据集 (CGLS v3和MODIS C6) 进行交叉验证.
- 基于数据集之间的TP的空间一致性和时间的分类植被动态.
主要成果:
- 植被动态分类显示,在研究区域的40.86%的数据集之间存在空间一致性.
- 数据集之间的TP时间一致性仅在27.09%的像素中被观察到,这突显了需要仔细解释的需要.
- 与水资源供应和干旱压力相关的植被生产率的中断下降在沙漠-草原过渡区 (>80%的面积) 中占主导地位.
结论:
- 对植被对气候变化反应的高级表征需要对结果进行谨慎的解释,特别是在使用单个数据集时.
- 在时间序列分析中使用多个卫星数据集为我们提供了更好地了解干地植被动态的机会.
- 研究结果支持改善人类干预措施,以应对干旱和半干旱地区植被生产率下降的情况.
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