Burnett C Global Land-Ocean Geospatial Applications Remote Sensing and GIS 2025

[Emperor2011]

Burnett C Global Land-Ocean Geospatial Applications Remote Sensing and GIS 2025 | 50.18 MB

Title: Global Land‑Ocean Geospatial Applications; Mapping and Surveying with Remote Sensing and GIS
Author: Charla M. Burnett



Description:
This book facilitates a deeper understanding of the diverse applications of geographic information systems (GIS) and remote sensing (RS) in land and ocean mapping and surveying across different fields and regions, bringing forward the best practices and innovations happening worldwide. It includes a variety of analytical methodologies used for managing different landscapes and ocean sites and explores how emerging technologies, like artificial intelligence, will shape the future of digital geospatial surveying and analysis. With real-world projects and step-by-step applications, this book helps professionals and students in various fields navigate these technologies effectively and stay current with the latest trends.
Key Features:

• Provides a detailed and thorough overview of GIS and RS applications, covering principles and techniques.
  
• Explores unique insights into practices across North America, Europe, Asia, South America, Africa, and Oceania, offering a broad range of perspectives and practical solutions.
  
• Includes a range of practical applications and case studies from real-world projects that provide valuable lessons and insights from experienced professionals.
  
• Addresses emerging technologies like artificial intelligence, machine learning, unmanned aerial vehicles (UAVs), and augmented reality as applied to geospatial science.
  
• Breaks down complex concepts into easily understandable language for those new to the field while offering depth for experienced practitioners seeking to broaden their expertise.
  

This is an ideal text for professionals working with geospatial information, mapping, and surveying who seek practical examples, innovative approaches, and awareness of emerging trends. It's suitable for geospatial data analysts, planners, environmental scientists, surveyors, disaster management professionals, logistics managers, and those who work in related fields.

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