Comparison of MODIS-derived land surface temperature with air temperature measurements

摘要: Air surface temperature is an important parameter for a wide range of applications such as agriculture, hydrology and climate change studies. data usually obtained from measurements made in meteorological stations, providing only limited information about spatial patterns over areas. The use remote sensing can help overcome this problem, particularly areas with low station density, having the potential to improve estimation of air at both regional and global scales. Land Surface (skin) Temperatures (LST) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard Terra Aqua satellite platforms provide spatial estimates near-surface values. In study, LST values MODIS are compared groundbased near air (Tair) 14 observational stations during 2011 2015, covering coastal, mountainous urban Cyprus. Combining LST-8 Day Night acquisitions into a mean monthly value, provide large number observations better overall agreement Tair. Comparison between mean LSTs Tair all sites seasons pooled together yields very high correlation biases. addition, presented high standard deviation be explained by influence surface heterogeneity within 1km2 grid cells, presence undetected clouds inherent difference between LST However, proved reliable proxy mostly studies requiring reconstruction lack stations.