scholarly journals Miami-Dade County Urban Tree Canopy Analysis

2021 ◽  
Author(s):  
Hartwig Hochmair ◽  
◽  
Adam Benjamin ◽  
Daniel Gann ◽  
Levente Juhasz ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Development ◽  
Tree Canopy ◽  
Dade County ◽  
Impervious Surfaces ◽  
Vector Data ◽  
Bare Ground ◽  
Urban Tree ◽  
Wetland Water ◽  
Urban Tree Canopy

This assessment focuses on describing urban tree canopy (UTC) within the Urban Development Boundary of Miami-Dade County, as defined by the Miami-Dade County Transportation Planning Organization (Figure 1). The area (intracoastal water areas excluded) encompasses approximately 1147 km2 (443 mi2). A combination of remote sensing and publicly available vector data was used to classify the following land cover classes: tree canopy/shrubs, grass, bare ground, wetland, water, building, street/railroad, other impervious surfaces, and cropland.

Estimation of urban tree canopy cover using random point sampling and remote sensing methods

2016 ◽  
Vol 20 ◽  
pp. 160-171 ◽  
Author(s):  
Ebadat G. Parmehr ◽  
Marco Amati ◽  
Elizabeth J. Taylor ◽  
Stephen J. Livesley
Keyword(s):  
Remote Sensing ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Random Point ◽  
Point Sampling ◽  
Urban Tree ◽  
Tree Canopy Cover ◽  
Urban Tree Canopy ◽  
Remote Sensing Methods

Urban Tree Canopy Classification Using Remote Sensing

2016 ◽  
Vol 19 (1) ◽  
pp. 1-7
Author(s):  
Seung Gyu Jeong ◽  
◽  
Hyeok Su Kwon ◽  
Dong Kun Lee ◽  
Jong Hoon Park
Keyword(s):  
Remote Sensing ◽  
Tree Canopy ◽  
Urban Tree ◽  
Urban Tree Canopy

Zoning, land use, and urban tree canopy cover: The importance of scale

2013 ◽  
Vol 12 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Sarah K. Mincey ◽  
Mikaela Schmitt-Harsh ◽  
Richard Thurau
Keyword(s):  
Land Use ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Urban Tree ◽  
Tree Canopy Cover ◽  
Urban Tree Canopy

Cholera in London and Urban Tree Canopy in Baltimore

2015 ◽  
pp. 144-171
Author(s):  
J. Morgan Grove ◽  
Mary L. Cadenasso ◽  
Steward T. A. Pickett ◽  
Gary E. Machlis ◽  
William R. Burch
Keyword(s):  
Tree Canopy ◽  
Urban Tree ◽  
Urban Tree Canopy

scholarly journals Environmental Equity and Spatiotemporal Patterns of Urban Tree Canopy in Atlanta

2019 ◽  
pp. 0739456X1986414 ◽  
Author(s):  
Bon Woo Koo ◽  
Nico Boyd ◽  
Nisha Botchwey ◽  
Subhrajit Guhathakurta
Keyword(s):  
African Americans ◽  
Careful Analysis ◽  
Tree Canopy ◽  
Spatiotemporal Patterns ◽  
Environmental Equity ◽  
Positive Relationships ◽  
Urban Tree ◽  
Urban Tree Canopy ◽  
Demographic Attributes ◽  
The Relationship

While previous studies in environmental equity found positive relationships between tree canopy and socioeconomic/demographic status of neighborhoods, few examined how changes in tree canopy are associated with changes in socioeconomic/demographic status. This study confirms that the relationship between them in Atlanta is changing and the hypothesis of inequitable distribution of tree canopy concerning demographic attributes cannot be fully supported beyond 2000. In addition, the proportion of African Americans can have different effects on the estimated tree canopy as poverty rates vary. Planning to mitigate environmental inequities through tree plantings requires more careful analysis that goes beyond the socioeconomic/demographic attributes of the population.

scholarly journals A Case Study Balancing Predetermined Targets and Real-World Constraints to Guide Optimum Urban Tree Canopy Cover for Perth, Western Australia

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1128
Author(s):  
Jackie Parker ◽  
Greg D. Simpson
Keyword(s):  
Western Australia ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Urban Trees ◽  
Conceptual Tool ◽  
Urban Tree ◽  
Tree Canopy Cover ◽  
Urban Tree Canopy ◽  
Social Environmental

Trees in urban settings are becoming increasingly important as mediators to emerging challenges that transect social, environmental, and economic factors. Trees provide shade; absorb and store atmospheric carbon and other pollutants; reduce local temperature fluctuations; provide essential inner-city fauna habitat; assist in reducing over-land stormwater flow; provide amenity; and provide many more social, environmental, and economic benefits. To secure these benefits, tree canopy cover targets are commonly employed by land managers; however, such targets are rarely quantified against the characteristics and limitations of individual urban centers. Through the generation and interrogation of qualitative and quantitative data, this case study of Perth, Western Australia presents a new conceptual tool that integrates eleven factors found to influence the capacity and opportunity for a city to support urban tree canopy cover. This tool is designed to capture and causally weigh urban tree canopy considerations based on individual city characteristics, collective values, and identifiable constraints. The output of the tool provides an “optimum” tree canopy cover result (as a percentage of the urban fabric) to better inform canopy cover targets and recommendations for urban tree strategic planning and management. This tool is valuable for urban land managers, city planners, urban designers, and communities in effective planning, management, valuation, and investment regarding urban trees as a sub-set of urban green infrastructure.

Sign in / Sign up

Export Citation Format

Share Document