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Tree health mapping with multispectral remote sensing data at UC Davis, California.

Xiao, Q., & McPherson, E. G. (2005). Urban Ecosystems, 8, 349–361.



Urban tree health was assessed using multispectral high spatial resolution remotely sensed data. The methodologies applied here for assessment are scalable to forest levels as well. The data obtained regarding single trees can be used to identify the need for tree removal and replacement. Patterns at the pixel level could provide information for determining the need for pruning, irrigation, or pest/disease treatment. This evaluation method allows managers to identify the location of unhealthy trees for further diagnosis and treatment, and track the health of the trees. This data can also be used to further analyse data regarding the social, political, and economics of the city.



Tags: Urban forest, tree mapping, technology

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