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Abstract (from http://www.esajournals.org/doi/abs/10.1890/13-1961.1): Trees provide ecosystem services that counter negative effects of urban habitats on human and environmental health. Unfortunately, herbivorous arthropod pests are often more abundant on urban than rural trees, reducing tree growth, survival, and ecosystem services. Previous research where vegetation complexity was reduced has attributed elevated urban pest abundance to decreased regulation by natural enemies. However, reducing vegetation complexity, particularly the density of overstory trees, also makes cities hotter than natural habitats. We ask how urban habitat characteristics influence an abiotic factor, temperature, and a biotic factor,...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Atlanta, GA and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in selected metropolitan areas in the United States by using Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature and change from 1985 to the current. These data were used to calculate the temperature difference between urban and surrounding rural areas as the UHI intensity in an annual basis. The annual changes of UHI intensity associated with urban development were also quantified. Two datasets containing the annual mean and annual maximum surface temperatures that were spatially in 30 meters resolution were included....
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Minneapolis, MN and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development on an annual basis. This dataset, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. The datasets were annual averages...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Sioux Falls, SD and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development on an annual basis. This dataset, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. The released datasets were annual...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Minneapolis, MN and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development on an annual basis. This dataset, over the study period, show that the mean surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. The datasets were annual averages of...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Atlanta, GA and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the mean surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30 meters...
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in Sioux Falls, SD and its surrounding area by using surface temperature from Landsat surface temperature products in a time series manner. Landsat land surface temperature data from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2018. The current study assessed UHI intensity and its variations associated with urban development on an annual basis. This dataset, over the study period, show that the mean surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. The datasets were annual averages of...


    map background search result map search result map Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 2.0, August 2020) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Sioux Falls, SD from 1985-2018 (version 2.0) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Minneapolis, MN from 1985-2018 (version 2.0) Land surface thermal feature (Tmax) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0) Land surface thermal feature (Tmean) change monitoring in urban and urban wild land interface in Atlanta, GA from 1985-2018 (version 2.0) Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 2.0, August 2020)