Remote Sensing and Geographic Information Systems - Azhar Ul Haque Sario - Bog

"Remote Sensing and Geographic Information Systems: 2024" is a comprehensive and forward-looking guide that delves into the evolving world of geographic information systems (GIS) and remote sensing technologies as they stand in the year 2024. This book serves as a critical resource for anyone interested in understanding how the integration of cutting-edge technologies like cloud computing, machine learning, the Internet of Things (IoT), and augmented reality is revolutionizing the field of geospatial science.
At the heart of this book is an exploration of cloud-based GIS solutions, highlighting the transformative impact of cloud technology in GIS. It explores various models such as Software-as-a-Service, Imagery-as-a-Service, and GIS-as-a-Service, elucidating how these models enhance accessibility and efficiency in geospatial data handling. The book also delves into the applications of these services in both public and private sectors, as well as the nuances of hybrid cloud services.
Another key focus is the advancement in 3D mapping technologies, particularly through innovations in drone technology and LiDAR. These chapters underscore the significance of such advancements in urban planning, smart city development, and regional analysis, offering a glimpse into how these tools are reshaping our understanding and interaction with urban and natural environments.
The integration of real-time data with GIS is also a crucial theme, especially its role in transportation, emergency management, and the processing of real-time data on GIS platforms. This aspect is particularly important for decision-making processes in critical situations.
Spatial Data Science is another area explored, combining GIS with geospatial data, machine learning, and statistical insights. This section underscores how data science is becoming integral in extracting valuable insights from geospatial data.
In a world increasingly leaning towards interactive digital experiences, the book discusses the role of Augmented Reality in GIS, envisioning how immersive and interactive GIS applications could shape the future.
The synergy of IoT and GIS is explored, emphasizing how networked physical devices can enhance GIS applications. Open-Data Sharing in GIS is also covered, highlighting its benefits in decision-making and analysis.
Process Automation in GIS, Blockchain applications in GIS, and Advanced Mobile GIS Applications signify the technological strides in making GIS more efficient, secure, and accessible. The book touches upon the current popularity and future advancements in these areas, along with the increasing capabilities of mobile devices for GIS applications.
A significant portion is devoted to Smart City Applications with GIS, discussing IoT-enabled GIS for urban ecosystems, resource allocation, traffic management, and overall quality of life enhancements.
Asset Tracking and Management with GIS are also explored, with a focus on GPS technology and its applications in logistics, transportation, and construction.
Finally, the book delves into Big Data Analytics in GIS, Augmented Reality (AR) and Virtual Reality (VR) in GIS, and Geospatial Data Mining, illustrating how these technologies contribute to predictive modeling and evidence-based decision-making.
"Remote Sensing and Geographic Information Systems: 2024" is not just a compendium of current technologies but a visionary projection of future possibilities. It is an indispensable guide for professionals, academics, and enthusiasts eager to understand the dynamic landscape of GIS and remote sensing as it unfolds in 2024.