Changes

** Kuehler, ''et al''. (2017) in their literature review found that urban trees can retain sizable amounts of annual rainfall in their crowns, delay the flow of stormwater runoff, substantially increase the infiltration capacity of urban soils, and provide transpiration of sequestered runoff. Tree canopy effectiveness is highest during short, low‐intensity storms and lower as rainfall volume and intensity increases.

** Kuehler, ''et al''. (2017) in their literature review found that urban trees can retain sizable amounts of annual rainfall in their crowns, delay the flow of stormwater runoff, substantially increase the infiltration capacity of urban soils, and provide transpiration of sequestered runoff. Tree canopy effectiveness is highest during short, low‐intensity storms and lower as rainfall volume and intensity increases.

* '''[https://www.mdpi.com/2072-4292/9/11/1202 Estimating tree leaf area density with LIDAR (Li et al. 2017)]<ref>Li, S., Dai, L., Wang, H., Wang, Y., He, Z., & Lin, S. (2017). Estimating leaf area density of individual trees using the point cloud segmentation of terrestrial LiDAR data and a voxel-based model. Remote sensing, 9(11), 1202. https://www.mdpi.com/2072-4292/9/11/1202/pdf'''</ref>

* '''[https://www.mdpi.com/2072-4292/9/11/1202 Estimating tree leaf area density with LIDAR (Li et al. 2017)]<ref>Li, S., Dai, L., Wang, H., Wang, Y., He, Z., & Lin, S. (2017). Estimating leaf area density of individual trees using the point cloud segmentation of terrestrial LiDAR data and a voxel-based model. Remote sensing, 9(11), 1202. https://www.mdpi.com/2072-4292/9/11/1202/pdf'''</ref>

** Li, ''et al''. (2017), developed a study to determine an effective means for leaf area density (LAD) estimation of a canopy of trees using LiDAR data and ground measured leaf area index (LAI) . Accuracy levels were high determining both characteristics of the tree stand and spatial resolution from their utilized voxel-based canopy profiling (VCP) should be used as an effective estimator of voxel size in this modal going forward.

** Li, ''et al''. (2017), determine an effective means for leaf area density (LAD) estimation of a canopy of magnolia trees using high-resolution LiDAR data and ground measured leaf area index (LAI).

* '''[https://www.nrcan.gc.ca/earth-sciences/land-surface-vegetation/biophysical-parameters/9162 Optical Leaf Area Index In-situ Measurement (Leblanc 2011)]<ref>Abuelgasim, A. A., & Leblanc, S. G. (2011). Leaf area index mapping in northern Canada. International journal of remote sensing, 32(18), 5059-5076. https://www.academia.edu/download/55035075/Leaf_area_index_mapping_in_northern_Canada.pdf'''</ref>

* '''[https://www.nrcan.gc.ca/earth-sciences/land-surface-vegetation/biophysical-parameters/9162 Optical Leaf Area Index In-situ Measurement (Leblanc 2011)]<ref>Abuelgasim, A. A., & Leblanc, S. G. (2011). Leaf area index mapping in northern Canada. International journal of remote sensing, 32(18), 5059-5076. https://www.academia.edu/download/55035075/Leaf_area_index_mapping_in_northern_Canada.pdf'''</ref>

** Abuelgasim, A. and Leblanc, S. G. (2011), discuss how  NRCan have developed methods to measure the leaf density in vegetation canopies with minimum destructive sampling. The measured quantity is, Leaf Area Index (LAI) that is used in estimates of carbon absorption by plants.  

** Abuelgasim, A. and Leblanc, S. G. (2011), discuss how  NRCan have developed methods to measure the leaf density in vegetation canopies with minimum destructive sampling. The measured quantity is, Leaf Area Index (LAI) that is used in estimates of carbon absorption by plants.