- The canopy cover Webmap of the United Kingdom's towns and cities🔍
- Urban Trees and Human Health🔍
- Healthy Places🔍
- Tree Canopy Assessment Report🔍
- Mapping Urban Tree Canopy Using Publicly Available Satellite Data🔍
- Improving urban tree cover with Google Earth Engine🔍
- Using GIS to Assess Urban Tree Canopy🔍
- Tree Canopy Cover 2024🔍
Deep Learning for Urban Tree Canopy Coverage Analysis
The canopy cover Webmap of the United Kingdom's towns and cities
Tree canopy cover percentage (TCC) is a useful indicator of tree presence. Its estimation can be reproducible, simple, fast, and cost-effective; ...
cover data set. The US Tree Map is produced using a modern machine learning technique to extract tree canopy cover and other land cover ...
Urban Trees and Human Health: A Scoping Review - PMC
In Philadelphia, U.S., the presence of tree cover was associated with reduced gun assaults [107], especially for young individuals in low-income urban areas.
Healthy Places, Healthy People Shade tree guidance
A sky fraction value indicates the percentage of the sky that is visible when viewing from the underside of tree canopies. The unique sky fraction values give a ...
The land cover data set is the most fundamental component of an urban tree canopy assessment. An object-based image analysis. (OBIA) software program called ...
Mapping Urban Tree Canopy Using Publicly Available Satellite Data
machine-learning approach that uses publicly-available, cloud-based data and open-source tools to map urban tree canopy cover. This method ...
Improving urban tree cover with Google Earth Engine
Researchers used Google Earth Engine to identify new targets for urban afforestation — planting new trees — in over 200 urban clusters in ...
Using GIS to Assess Urban Tree Canopy - Geography Realm
The University of Vermont Spatial Analysis Lab used spatial analysis to map out how the city of Philadelphia's tree canopy changed between 2008 and 2018.
Tree Canopy Cover 2024 - London Datastore
... cover at 19.6% (±0.3%) and its green cover at 51.7% (±1.11%). These estimates were produced via a 'machine learning' computer modelling technique that uses ...
Satisfaction with urban trees associates with tree canopy cover and ...
We found that canopy cover and VGVI had a positive association with satisfaction with urban trees. The associations were comparatively stronger at larger ...
City of Pacific Grove - Urban Tree Canopy Assessment
Land cover changes from 2005 to 2014 were analyzed and projections for 2024 are based on this history. Functional values, including canopy ...
An analysis of New Haven's urban tree canopy based on land cover derived from high-resolution aerial imagery (Figure 1) found that more than ...
Beating the Heat: Students Map California Tree Canopy to ... - Cal Poly
The students involved are creating a public, open-source urban tree canopy ... deep-learning model. They're also writing a research paper to ...
National Land Cover Database Tree Canopy Cover Methods
Salt Lake City, UT: U.S. Department of. Agriculture, Forest Service, Geospatial Technology and Applications Center. 26 p. Page 3. Contents. Executive Summary ..
Urban Tree Canopy Assessment - Arlington County, Virginia
Analysis found that surface temperatures were higher in locations with impervious surface and low amounts of tree canopy cover, as expected.
The US Tree Map is produced using a modern machine learning technique to extract tree canopy cover and other land cover types from the latest ...
City of Austin - Tree Canopy 2022 - Data.gov
The engine used machine learning algorithms to detect and label image pixels as tree canopy. Then using prior knowledge of feature geometries, more modeling ...
The land cover data set is the most fundamental component of an urban tree canopy assessment. An object-based image analysis. (OBIA) software program called ...
Estimating Chicago's tree cover and canopy height using multi ...
We present a pipeline that utilizes LiDAR data as ground-truth and then trains a multi-task machine learning model to generate reliable estimates of tree cover ...
An analysis of the Greater Bridgeport area based on land cover data derived from high-resolution aerial imagery and LiDAR (Figure 1) found that 50,072 acres of ...