在MODIS和VIIRS产品和提取方法之间对全球城市土地表面现象学的比较分析
Peiyi Yin1, Xuecao Li2, Janne Heiskanen3
1College of Land Science and Technology, China Agricultural University, Beijing, 100083, China.
Journal of environmental management
|January 29, 2025
概括
在城市的陆地表面现象学 (LSP) 卫星遥感显示数据可用性较低,MODIS和VIIRS产品之间存在显著差异. 标准化现象学指标对于理解城市植被至关重要.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 城市研究 城市研究
背景情况:
- 可靠的陆地表面现象学 (LSP) 数据对于评估植被对城市生态系统气候变化的反应至关重要.
- 现象学定义和从遥感数据中提取方法的不一致性在估计植被现象学温度灵敏度时引入了系统错误.
研究的目的:
- 在MODIS (MCD12Q2) 和VIIRS (VNP22Q2) 产品之间评估和比较陆地表面现象学 (LSP) 指标,包括季节开始 (SOS),季节结束 (EOS) 和生长季节长度 (GSL).
- 评估全球城市地区有效的现象学数据的可用性和空间分布.
- 确定两个卫星产品之间观察到的现象差异的主要驱动因素.
主要方法:
- 来自MODIS MCD12Q2和VIIRS VNP22Q2数据集的SOS,EOS和GSL指标的比较.
- 全球1470个城市集群的现象学数据分析,考虑各种气候区和度梯度.
- 使用R平方 (R2) 和根平均平方偏差 (RMSD) 来量化两种产品之间的一致性和差异的统计评估.
主要成果:
- 在城市地区,特别是热带和干燥气候地区,有效的现象学估计的可用性较低.
- 在MODIS和VIIRS现象产品之间观察到显著差异,其中很少有城市集群表现出强烈的同意 (R2>0.5).
- 在城市集群中,SOS,EOS和GSL的高RMSD值 (超过两周) 在很大比例的城市集群中存在,这表明存在相当大的差异.
结论:
- 在MODIS和VIIRS产品之间LSP指标的差异导致在城市植被中测量现象温度敏感性的系统不确定性.
- 这两种产品所使用的现象学定义的差异是观察到的城市现象学差异的主要原因.
- 从遥感数据中提取现象学指标的标准化对于准确评估城市植被对环境变化的反应至关重要.
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