Urban Landscape Heterogeneity Influences the Relationship between Tree Canopy and Land Surface Temperature

Jung, Meen Chel; Dyson, Karen; Alberti, Marina

doi:10.1016/j.ufug.2020.126930

Cited by 40 publications

(17 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another future improvement for the surface temperature component of this study would be an investigation of not only tree canopy presence but also tree canopy characteristics. One study found that impacts on surface temperature in Seattle and Baltimore had varying responses based on categories of tree canopy cover ratio and infrastructure development nearby [46]. Before delving into the census block group and municipal level analyses, it is important to acknowledge that tree loss/gain at these levels have unknown uncertainties.…”

Section: Discussionmentioning

confidence: 99%

Change Analysis of Urban Tree Canopy in Miami-Dade County

Hochmair

Benjamin

Gann

et al. 2022

Forests

View full text Add to dashboard Cite

This study mapped and analyzed urban tree canopy change between 2014 and 2019 within the Urban Development Boundary of Miami-Dade County, Florida. The goal was to identify local areas of tree canopy gain or loss over this 5-year period. The comparison is based on land cover maps delineated from WorldView-2 satellite data applying a random forest classification algorithm, in combination with publicly available vector data of infrastructure (roads, railroads) and land use maps (water, cropland). Existing urban tree canopy (EUTC) was computed for census block groups and municipalities to compare tree canopy cover loss or gain to support strategic planning of equitable urban reforestation. For the entire study area, the percentage of EUTC did not change significantly between 2014 (19.9 ± 1.2%) and 2019 (20.1 ± 1.5%). However, some municipalities experienced changes in EUTC by over 10%. Comparison of Landsat-8 Thermal Infrared satellite imagery between both periods identified land cover change patterns that were associated with an increase or decrease in surface temperature. A significantly negative relationship between percentage of African American population and tree canopy in 2014 turned statistically insignificant in 2019, whereas the negative relationship with percentage of Hispanic population further strengthened in 2019 compared to 2014.

show abstract

Section: Discussionmentioning

confidence: 99%

Change Analysis of Urban Tree Canopy in Miami-Dade County

Hochmair

Benjamin

Gann

et al. 2022

Forests

View full text Add to dashboard Cite

show abstract

“…Among others, land surface temperature is a key indicator in regulation of temperature and surface processes on Earth. Besides, land surface temperature is an important characteristic for energy interchange between the surface and the atmosphere in the cities and tree canopies, as heat waves and thermal balance of an area [16]. Along with vegetation cover and canopy health, land surface temperature is an important indicator of landscape health [17].…”

Section: Case Studymentioning

confidence: 99%

GRASS GIS Scripts for Satellite Image Analysis by Raster Calculations Using Modules r.mapcalc, d.rgb, r.slope.aspect

2022

Teh. vjesn.

View full text Add to dashboard Cite

This study demonstrated the use of GRASS GIS scripts for satellite image analysis. The aim is to perform topographic and environmental analysis in eastern China, Shandong Province, Qingdao region. Variables include land surface temperature evaluated by correlation between the Landsat ETM+ channels and colour composites. The methodology is based on scripting by GRASS GIS modules. Data include two satellite Landsat TM images with a 5 years span (2009 and 2004). The images were imported to GRASS GIS using GDAL library by 'r.in.gdal' module. The topography (DEM) was assessed by GRASS GIS 'd.rast' module with isolines plotted using 'r.contour' and 'd.vect'. The map elements were displayed by 'v.in.region', 'd.vect', 'v.info'. The slope and aspect maps based on DEM were plotted using module 'r.slope.aspect' and visualised by a consecutive combination of 'd.rast', 'r.colours ', 'd.legend', 'd.text' and 'd.grid' modules. The scatterplot of pairwise correlation of the selected Landsat TM7 channels (10 and 20, 50 and 70) was done by 'd.correlate'. The applied code from the 'r.mapcalc' was used for image calibration from the DN to apparent radiance at sensor. Two maps showing land surface temperature for 2009 and 2004 were plotted by 'r.mapcalc'. The land surface temperature maps show lower values over the water and forests, while higher values in cities. Plotting land surface temperature map was made to analyse variations in climate settings in Shandong during 5 years based on the comparative analysis using 'r.mapcalc' module. The images were plotted by natural and false colour band composites using 'd.rgb' module and band combinations: 1) colour infrared with focus on vegetation (5-4-3); 2) natural colour composites (1-2-3); 3) contrasting slopes for topography (4-5-7); 4) vegetation analysis (2-3-4); 5) focus on land/water borders (5-6-7). The study has shown cartographic functionality of GRASS GIS scripts specifically for remote sensing data processing and topographic analysis. The environmental modelling has shown variations in land surface temperature, slope steepness and orientation (aspect). The GRASS GIS demonstrated to be an effective tool for remote sensing. Full codes are available on the GitHub repository of the author with provided link to scripts.

show abstract

“…Nevertheless, cooling has been found in empirical studies as a function of canopy cover. Jung et al (2021) showed that the capacity of urban trees to mitigate land surface temperatures is nonlinear and depends on the specific land cover type and level of development. Santamouris et al (2017) found that across a wide range of studies, the median reduction in local air temperature by cooling interventions involving urban trees was as high as 1.5 • C when including modeling scenarios that largely eliminated built cover, and 0.6 • C across more realistic urban conditions.…”

Section: Urban Trees Are More Effective For Adaptation Than Mitigation Strategiesmentioning

confidence: 99%

The Benefits and Limits of Urban Tree Planting for Environmental and Human Health

et al. 2021

Self Cite

View full text Add to dashboard Cite

Many of the world’s major cities have implemented tree planting programs based on assumed environmental and social benefits of urban forests. Recent studies have increasingly tested these assumptions and provide empirical evidence for the contributions of tree planting programs, as well as their feasibility and limits, for solving or mitigating urban environmental and social issues. We propose that current evidence supports local cooling, stormwater absorption, and health benefits of urban trees for local residents. However, the potential for urban trees to appreciably mitigate greenhouse gas emissions and air pollution over a wide array of sites and environmental conditions is limited. Consequently, urban trees appear to be more promising for climate and pollution adaptation strategies than mitigation strategies. In large part, this is due to space constraints limiting the extent of urban tree canopies relative to the current magnitude of emissions. The most promising environmental and health impacts of urban trees are those that can be realized with well-stewarded tree planting and localized design interventions at site to municipal scales. Tree planting at these scales has documented benefits on local climate and health, which can be maximized through targeted site design followed by monitoring, adaptive management, and studies of long-term eco-evolutionary dynamics.

show abstract

Urban Landscape Heterogeneity Influences the Relationship between Tree Canopy and Land Surface Temperature

Cited by 40 publications

References 75 publications

Change Analysis of Urban Tree Canopy in Miami-Dade County

Change Analysis of Urban Tree Canopy in Miami-Dade County

GRASS GIS Scripts for Satellite Image Analysis by Raster Calculations Using Modules r.mapcalc, d.rgb, r.slope.aspect

The Benefits and Limits of Urban Tree Planting for Environmental and Human Health

Contact Info

Product

Resources

About