Название: Managing Our World: GIS for Natural Resources
Автор: Geoff Wade, Matt Artz
Издательство: Esri Press
Серия: Applying GIS
Год: 2023
Страниц: 190
Язык: английский
Формат: pdf, epub (true)
Размер: 11.4 MB

Discover The Geographic Approach to managing natural resources for efficiency and sustainability.

The examples presented in Managing Our World: GIS for Natural Resources illustrate how organizations use geographic information systems (GIS) to support agriculture, forestry, mining, energy, pipeline, and renewable energy organizations. The stories and strategies aim to help you understand GIS and integrate spatial reasoning into natural resource planning and operations using The Geographic Approach. The book concludes with a section about next steps using GIS, which provides ideas, strategies, tools, and suggested actions that you can take to build location intelligence into decision-making and operational workflows.

The Geographic Approach is a way to use geography to help solve problems and make better decisions. If location intelligence isn’t currently part of your decision-making processes or considered in an organization’s daily operations, or if it isn’t used to improve constituent satisfaction, managers can use this book to start developing ideas, approaches, and skills in these areas. Developing these skills does not require GIS expertise, nor does it require you to disregard your previous experience and knowledge. Instead, this book presents location intelligence as a layer of knowledge that managers and practitioners can add to their existing expertise and incorporate successfully into daily operations and planning.

This book is designed as a guide to help you take first steps with GIS to address issues that are important to you now. Applying The Geographic Approach to decisions and processes can help you solve common problems and create a more collaborative environment in your organization and community. For example, from the many examples in this book, you can identify where maps, spatial analysis, and GIS apps can support your own work and then, as next steps, learn more about how to apply these geospatial capabilities.

Finland’s forests cover three-quarters of the country’s landscape—a vast space that the Finnish Forest Centre is responsible for monitoring and managing. Recently, the center’s forestry experts developed an ambitious idea to use robots to autonomously perform most forest maintenance tasks. Before they can train the robots, Finnish Forest Centre staff must be sure their data is accurate and accessible. They use aerial and lidar imagery to create forest inventories, cataloging tree measurements and species details. Then they collect, map, and analyze all the data that robots will need in a GIS.

To fill the gap on accurate data and decrease the amount of work on-site, the Finnish Forest Centre is using Artificial Intelligence (AI). One of its first use cases for AI is to gather information about young forests and seedling stands. GIS data, imagery sources, and climate and weather datasets are combined to produce accurate measurements of forest stands and better predict forest inventory. Machine Learning algorithms are being tested to extract the same measurements that have previously required in-person inspection crews.

This book also includes a section on next steps that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS for natural resources. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Use this book to identify where maps, spatial analysis, and GIS apps can benefit your work, and how to apply these geospatial capabilities to drive improved results.

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