In a world ever-more mediated by data, many aspects of our environment are integrated through information systems. Much of our new understanding is the result of emergent data-generating and visualization technologies that map and make visible information that otherwise would remain dormant and ineffective. This paper examines the use of data-driven and parametric processes in designing adaptive networked ecological systems. Specifically, it will inquire into the degree to which data can prevent or at least mitigate the degradation of future crises. Two case studies will be presented and illustrated. The first will target the San Francisco bay area brownfields, the other mining sites in Latrobe, Australia, both derelict lands that have been laid to waste in the wake of earlier eras of industrialization. By showcasing two projects, this paper presents an overview of several areas in which landscape design can be successfully supplemented by contemporary data systems. Embedding data can allow for project conceptualization, design specification, and an objective design process that achieve environments tailored to their specific geographic context while providing rapid, simulationbased feedback and impact analyses.