Land surface temperature and urban heat island effects on air temperature and vapor pressure deficit in Boston, MA
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Landsat-based rasters (30m) of land surface temperature (LST) for the Boston, MA area spanning. LST was calculated by adjusting thermal radiance for atmospheric and emissivity effects for each of 391 images spanning 2000-2013. LST data represent the long-term mean of summertime (day of year 180-240) and springtime (representing leaf-off, day of year 120-180) images. Surface urban heat island (SUHI) calculated by the difference of the mean LST and the 5th percentile LST (typically in rural areas) within the long-term mean LST images, representing enhancements in LST due to urban land use.Additionally, impervious surface area (ISA), buffered by 300m, are included, as well as the accompanying impacts on microclimate due to impervious surface area estimated by linear models with observations from a network (n=25) of meteorological sensor' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Landsat","remote sensing","urban heat island"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Landsat-based rasters (30m) of land surface temperature (LST) for the Boston, MA area spanning. LST was calculated by adjusting thermal radiance for atmospheric and emissivity effects for each of 391 images spanning 2000-2013. LST data represent the long-term mean of summertime (day of year 180-240) and springtime (representing leaf-off, day of year 120-180) images. Surface urban heat island (SUHI) calculated by the difference of the mean LST and the 5th percentile LST (typically in rural areas) within the long-term mean LST images, representing enhancements in LST due to urban land use.Additionally, impervious surface area (ISA), buffered by 300m, are included, as well as the accompanying impacts on microclimate due to impervious surface area estimated by linear models with observations from a network (n=25) of meteorological sensor' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Landsat-based rasters (30m) of land surface temperature (LST) for the Boston, MA area spanning. LST was calculated by adjusting thermal radiance for atmospheric and emissivity effects for each of 391 images spanning 2000-2013. LST data represent the long-term mean of summertime (day of year 180-240) and springtime (representing leaf-off, day of year 120-180) images. Surface urban heat island (SUHI) calculated by the difference of the mean LST and the 5th percentile LST (typically in rural areas) within the long-term mean LST images, representing enhancements in LST due to urban land use.Additionally, impervious surface area (ISA), buffered by 300m, are included, as well as the accompanying impacts on microclimate due to impervious surface area estimated by linear models with observations from a network (n=25) of meteorological sensor
Landsat; remote sensing; urban heat island