Tree canopy data came from National Land Cover Database and ASD data came from the cross-sectional National Survey of Children's Health (2011/2012). Results: Percent tree canopy coverage predicted a decreased risk of severe conduct problems in youth with ASD, but not CSHCN; "gray" space was...
Tree canopy visualizations Data source The data for the following presentation was provided by Ecopia Tech Corporation and was analyzed byKing County Information TechnologyArcGIS Team. Geography This map shows thepercentage of tree coverage by Census Tract for 2022. Tip: use the map tools to open t...
METHODS: Birth cohort study data were linked to detailed geographic information systems data characterizing 2001 tree canopy coverage based on LiDAR (light detection and ranging) and multi-spectral imagery within 0.25 km of the prenatal address. A total of 549 Dominican or African-American children ...
In most forest inventory data, it is not feasible to estimate the canopy coverage of trees having certain characteristics due to the lack of information on crown size. In this study, data from the Forest Inventory and Analysis (FIA) program was used to assign crown sizes to individual trees ...
Canopy cover percentages can then be calculated using the analysis boundary and the vegetation points identified in the LiDAR data to indicate tree canopy coverage. MachineLearning With advances in artificial intelligence (AI) and availability of training datasets, machine learning is fast becoming a re...
The latitudinal frequency distribution of forest canopy heights derived from the geoscience laser altimeter system data and field-measured giant trees. The results showed that forest canopy means were highest in tropical forests, whereas the maximum forest height had three peaks in tropical and ...
The aim of this paper is to systematically combine complementary LiDAR and synthetic aperture radar (SAR) observations to map tree canopy cover in a boreal forest. LiDAR data can provide direct measurements of vegetation structures but are limited by the sparse spatial coverage of observations. SAR...
Evaluation of tree cover results with LiDAR data To evaluate the accuracy of the model’s predictions of tree cover, we compared our binary tree cover map with canopy height maps (CHMs) derived from aerial LiDAR and stereo UAV imagery. We did not use manual labels because these are not inde...
Accordingly, the goal of the proposed study is to examine, at the relatively fine spatial scale of the Census Tract (CT), the relationship between tree canopy coverage and heat-related morbidity during extreme heat events in Toronto, Canada....
This strategy may lead to a loss in overall canopy cover for urban regions, however, it may be a particularly fruitful way to manage the trade-off between tree services and disservices. A total of 44 faunal groups associated with urban greening were listed as being of concern to residents....