Simulation and validation of land surface temperature algorithms for MODIS and AATSR data

Influence of soil water content on the thermal infrared emissivity of bare soils: Implication for land surface temperature determination

“…The 11 μ m and 12 μ m Advanced Along Track Scanning Radiometer (AATSR)'s channels were chosen because of their similar spectral responses with channels 3 and 2 of CE‐312, respectively. Only data relevant for this study are presented in this section and the reader is referred to Galve et al [2006] for additional details on the simulation database.…”

A Comparison of MODIS LST Retrievals with <i>in Situ</i> Observations from AWS over the Lambert Glacier Basin, East Antarctica

“…More recently, there has been a rapid increase in the needs of LST products derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) for many fields such as quantifications of heat waves [14], forest cover change [15], assessment of air temperature [16], hazard prediction and mitigation [17], water resource management, and improvement of weather forecast [18]. Validated attempts have been therefore made through either surface emissivity spectra measurements or in situ temperature observations over lakes [19][20][21][22], cropland [23][24][25], bare soil [26], silt-playa [20], densely vegetated areas [21], snow and ice surface [27] and permafrost region [28,29] to better understand the uncertainties and limitations of MODIS-derived LST. Yet these comparisons/ validations of MODIS LST products focus on mid-and low-latitude regions.…”

Comparison of MODIS-derived land surface temperatures with ground surface and air temperature measurements in continuous permafrost terrain

“…Recent applications include vegetated areas (Coops et al, 2009), CO 2 exchange (Schubert et al, 2010), and permafrost at regional ) and local scales (Langer et al, 2010;Westermann et al, 2011). MODIS 1 km LST products have been cross-compared or validated against ground-based temperature measurements over homogeneous surfaces such as lakes (Wan et al, 2002a(Wan et al, , b, 2004Hook et al, 2007;Wan, 2008;Crosman and Horel, 2009), rice crops (Coll et al, 2005(Coll et al, , 2009Wan et al, 2004;Galve et al, 2007), silt-playas (Snyder et al, 1997), and densely vegetated areas (Wan, 2008). The 1 km products have also been validated with the alternative radiance-based (R-based) method over a lake, rice crops (Wan and Li., 2008;Coll et al, 2009) and dense forest (Coll et al, 2009).…”