Convergent Remote Sensing

Keywords: Remote Sensing, Information Science, Convergence, GIScience
Abstract Type: Paper Abstract

Abstract

Remote Sensing has always been driven by the problem of information deficit; first of enemy forces, then the value of timber in vast forest resources, global-scale environmental processes, and on to an ever-increasing range of environmental phenomena at myriad spatial and temporal scales. Throughout its history, remote sensing has addressed information deficits by bringing together disparate expertise around the vexing societal problem of making good decisions about how to interact with our environment. The varied expertise required has evolved dramatically and continuously since the early days of aerial surveillance in the 19th century, driven by two perpetual forces: technology and the evolution of the challenges facing humanity, and thus the nature of the information deficit. In this way, remote sensing has always been an engine for convergence, bringing together scientists and engineers to figure out how to spy on the Soviet’s (i.e., Corona), keep better track of agricultural resources (i.e, NAIP) or mapping greenhouse gas emissions (e.g., GOSAT). Today, technology and the challenges facing humanity necessitate a broadening of the tent yet again to develop a common understanding of the problem of remote sensing of information beyond NADIR and near-NADIR mapping.