A method to estimate maximum and minimum air temperature using MODIS surface temperature and vegetation data: application to the Maipo Basin, Chile. Bustos, E. & Meza, F., J. Theoretical and Applied Climatology, 120(1-2):211-226, Springer Vienna, 2015.
A method to estimate maximum and minimum air temperature using MODIS surface temperature and vegetation data: application to the Maipo Basin, Chile [link]Website  abstract   bibtex   
We present a method to estimate minimum andmaximum air temperatures that uses land surface informationfrom the Moderate Resolution Imaging Spectroradiometer(MODIS). The method is based on an analysis of the distri-bution of the Normalized Difference Vegetation Index(NDVI) and Land Surface Temperature (LST) obtained fromthe MODIS sensor. We select the pixels with high values ofNDVI for each set of NDVI–LST images to represent vege-tation pixels with adequate water conditions, ensuring thattemperature values between surface and air surrounding aresimilar. Then, these pixels are spatially interpolated in order toobtain whole region maps of maximum and minimum airtemperature. Estimates were compared with observed valuesfor 12 meteorological stations distributed in the study area.After correcting for bias and lags between satellite and surfaceobservation times, the majority of the stations show air tem-perature estimates that have no significant differences com-pared to the observed air temperature values. Except for urbanareas, results show a correct representation of spatial andtemporal distribution of maximum and minimum tempera-tures for all surface types
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 title = {A method to estimate maximum and minimum air temperature using MODIS surface temperature and vegetation data: application to the Maipo Basin, Chile},
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 year = {2015},
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 pages = {211-226},
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 publisher = {Springer Vienna},
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 abstract = {We present a method to estimate minimum andmaximum air temperatures that uses land surface informationfrom the Moderate Resolution Imaging Spectroradiometer(MODIS). The method is based on an analysis of the distri-bution of the Normalized Difference Vegetation Index(NDVI) and Land Surface Temperature (LST) obtained fromthe MODIS sensor. We select the pixels with high values ofNDVI for each set of NDVI–LST images to represent vege-tation pixels with adequate water conditions, ensuring thattemperature values between surface and air surrounding aresimilar. Then, these pixels are spatially interpolated in order toobtain whole region maps of maximum and minimum airtemperature. Estimates were compared with observed valuesfor 12 meteorological stations distributed in the study area.After correcting for bias and lags between satellite and surfaceobservation times, the majority of the stations show air tem-perature estimates that have no significant differences com-pared to the observed air temperature values. Except for urbanareas, results show a correct representation of spatial andtemporal distribution of maximum and minimum tempera-tures for all surface types},
 bibtype = {article},
 author = {Bustos, E and Meza, F J},
 journal = {Theoretical and Applied Climatology},
 number = {1-2}
}

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