Geospatial Data Information And Intelligence

This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field.

This book presents a selection of manuscripts submitted to the 3rd International Conference on Geospatial Information Sciences (iGISc) 2023, a hybrid conference held in November 2023. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-reviewed process. They represent a sample of the wide range of applications that characterize the interdisciplinary research areas of the Geospatial Information Sciences. It especially represents a fabulous opportunity to exhibit research carried out by young researchers and showcase it to the rest of the world and enhance the growth of the sciences while, at the same time, enforces them to level up with other research at the international level.

This book presents a selection of manuscripts submitted to the 3rd International Conference on Geospatial Information Sciences (iGISc) 2023, a hybrid conference held in November 2023. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-reviewed process. They represent a sample of the wide range of applications that characterize the interdisciplinary research areas of the Geospatial Information Sciences. It especially represents a fabulous opportunity to exhibit research carried out by young researchers and showcase it to the rest of the world and enhance the growth of the sciences while, at the same time, enforces them to level up with other research at the international level.

Get started with Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas in this ultimate six-course bundle!

This book focuses on the application of geospatial technologies for resource planning and management for the key natural resources, e.g. water, agriculture and forest as well as the decision support system (DSS) for infrastructure development. We have seen in the past four decades that the growing complexities of sustainable management of natural resources management have been very challenging. The book has been written to leverage the current geospatial technologies that integrate the remotely sensed data available from various platforms, the precise locational data providing geospatial intelligence, and the advanced integration tools of Geographical Information Systems (GIS).

Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS

by Ruizi Chen (Author)

Using open source geospatial analytic techniques to investigate and verify global issues

Business Intelligence, Data Analysis & Visualization, Data Warehousing. Build intelligent decision-making capabilities.