Abstract
The rapid development and ongoing advancement in remote-sensing and geographic information technologies has, and will continue to have a profound effect on the discipline of geomorphology. New remote-sensing platforms and sensor payloads offer new capabilities to obtain geospatial data and characterize various properties and features in the atmosphere, on the land surface, and in the near subsurface. Similar advances are being made in computation, information extraction techniques, numerical modeling and the use of artificial intelligence for assessing landscape patterns and numerical relationships. These advances are necessary to address geospatial data science issues involving the increased dimensionality of geospatial data, formalizing and digitally representing important concepts, and accounting for analysis and modeling complexity. Consequently, geospatial data science research is now commonplace in geomorphological investigations, as we seek to better understand forcing factors, surface processes, geomorphological systems and topographic evolution. Significant advances have occurred in geodesy, remote sensing, photogrammetry, geophysics, computer science, statistics, pattern recognition, and other STEM disciplines. Consequently, we have many new capabilities to better investigate climate forcing, quantify surface biophysical properties, characterize the topography, map landforms, link process and form/patterns, and improve our understanding of scale dependencies and the polygenetic nature of landscape evolution. Numerous issues, however, still need to be addressed that involve the synthesis of geomorphological and geospatial data science concepts that can be addressed using advanced cyberGIS capabilities. The mere availability of new spatio-temporal data and software tools does not equate to accurate information production and new understandings in geomorphology. Consequently, this chapter introduces rapidly developing capabilities and new developments in geospatial data science that are relevant to various types of geomorphological investigations. The emphasis is on using data and analysis/modeling approaches to better understand landforms and geomorphological systems. This treatment represents an introduction and overview of literature, and highlights the many uses of such advances in geomorphology.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Reference Module in Earth Systems and Environmental Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
