US: Bo Yang, a researcher from University of Cincinnati has developed a method to combine thermal data from separate satellite systems to create large, detailed maps of regional temperature fluctuation.
“In an easy-to-understand way, I am trying to derive both very high-definition and high-frequency revisiting imagery from two satellite-carried sensors,” Yang said. “I use the spatial statistics technique known as co-kriging to fuse multi-sensor land surface temperature images.”
Yang uses an algorithm he devised to fill the spatiotemporal gaps between the two data sets. The result is an intricately detailed map covering a large surface area that allows geographers to quickly derive daily – even hourly – surface temperature and emissivity information. These environmental parameters are important to agriculture and water resource management and can be used to detect the onset and severity of drought.