The exponential increase in remotely and proximately sensed data is revolutionizing how we understand and manage urban ecosystem. The integration of disparate datasets can generate new knowledge where the 'sum is greater than its parts'. We devise and apply new geospatial intelligence approaches to answer original research questions and test hypotheses at a range of spatial (local, landscape, macrosystem, global) and temporal scales (seasonal, annual, multidecadal).