Full Citation
Title: Human–Environment Interactions and Scalable Remote Sensing
Citation Type: Journal Article
Publication Year: 2018
ISBN: 9780128032213
ISSN:
DOI: 10.1016/B978-0-12-409548-9.10413-0
NSFID:
PMCID:
PMID:
Abstract: There is much interest in using big data for research on rapid social and environmental change. For all the excitement about big data, however, there are “deserts in the deluge” of these data because there is surprisingly little detailed information about human–environment systems for much of the globe, especially for before the year 2000 and for much of the global south. Remotely sensed imagery is a valuable form of big data that promises to fill in some of these gaps and help advance our understanding coupled human–environment systems.
Url: https://www.sciencedirect.com/science/article/pii/B9780124095489104130
User Submitted?: No
Authors: Manson, Steven M; Kernik, Melinda
Periodical (Full): Comprehensive Remote Sensing
Issue:
Volume:
Pages: 4-16
Countries: