ABSTRACT
Making a reliable inventory of urban forest resources has always been difficult and time-consuming due to traditional field survey methods. This chapter provides an alternative method of quantifying trees in urban areas using very high resolution WorldView-2 imagery. Using both the NDVI threshold and image segmentation techniques, it is possible to obtain data on individual trees and clustered trees. This information can directly support urban planning processes which incorporate the recognition of green spaces in urban areas.
