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Литература по ESRI ArcGIS
Williams
сообщение 14.10.2021 - 09:34
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Wilpen Gorr, Kristen Kurland - GIS Tutorial for ArcGIS Pro 2.8 4th Edition

Esri Press, 2021
pdf, 263 pages, english
ISBN: 9781589486805




Updated for the latest version of ArcGIS Pro, GIS Tutorial for ArcGIS Pro 2.8 is the book of choice for classrooms and self-learners seeking to begin or grow their expertise using Esri’s premier desktop geographic information system (GIS) technology.

This fourth edition features newly revised geocoding workflows. Students will find simplified steps and figures that match the 2.8 interface. When finished, readers will have learned how to make maps; find, create, and analyze data; and manage operational systems while using ArcGIS Pro, ArcGIS Online, ArcGIS StoryMaps, ArcGIS Dashboards, ArcGIS Collector, and more.

Free downloadable video lectures and lecture slides boost learning outcomes. Additional instructor resources augment instruction.

Since 2005, Carnegie Mellon educators Kristen Kurland and Wil Gorr have been sharing what works in their own teaching experiences. Their other titles include GIS Tutorial for Crime Analysis, GIS Tutorial for Health, and GIS Jumpstart for Health Professionals.

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SurenSG
сообщение 9.11.2021 - 23:06
Сообщение #62


Новичок
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люди а на русском что есть?
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Williams
сообщение 29.03.2022 - 08:01
Сообщение #63


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Maribeth Price - Mastering ArcGIS Pro, Second Edition

McGraw Hill, 2023
epub, 436 pages, english
ISBN: 978-1-265-12771-8




Mastering ArcGIS Pro introduces the basic ideas behind GIS, teaching the concepts and skills needed to enter this rapidly evolving industry or use GIS in your current discipline. Based on the widely used ArcGIS software developed by Esri, Inc., this text integrates learning fundamental concepts with practicing software skills and is suitable for classroom use or for professionals studying independently.

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Williams
сообщение 12.12.2022 - 07:40
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A. Ardeshir Goshtasby - 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications

Wiley, 2005
pdf, 265 pages, english
ISBN: 0-471-64954-6




To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.

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Stuart1974
сообщение 12.12.2022 - 17:35
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Hi

Anyone can share "Getting to Know ArcGIS Desktop 10.8"

Thanks
Stuart
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Williams
сообщение 14.06.2023 - 09:22
Сообщение #66


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Jay Gao - Remote Sensing of Natural Hazards

CRC Press, 2023
pdf, 464 pages, english
ISBN: 978-1-032-40690-9




This book presents a comprehensive coverage of remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies in detail how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence. The author explains multiple methods of attaining data, describes the pros and cons of each method, and encourages readers to choose the best method applicable to their case. The author offers a practical approach to data analysis using the most appropriate methods and software.

1. Covers all major natural hazards including hurricanes, tornadoes, wildfires, and avalanches.
2. Studies each natural hazard holistically, ranging from spatial extent, severity, impact assessment, causes, and prediction of occurrence.
3. Explains different remotely sensed data and the most appropriate method used.
4. Compares different ways of sensing and clarifies the pros and cons of any selected data or their analysis.
5. Provides ample examples of each aspect of a natural hazard studied augmented with graphic illustrations and quality assurance information.

All professionals working in the field of natural hazards, senior undergraduate, and graduate students, will find in-depth approaches and sufficient information to become knowledgeable in the methods of yielding and analyzing data provided with remote sensing technology, ultimately providing a deeper understanding of natural hazards.

https://www.upload.ee/files/15271930/it9841.7z.html
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Marcelo de Carvalho Alves, Luciana Sanches - Remote Sensing and Digital Image Processing with R — Lab Manual

CRC Press, 2023
pdf, 188 pages, english
ISBN: 978-1-032-46124-3




This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest.  

Features
- Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages.
- Engages students in learning theory through hands-on real-life projects.
- All chapters are structured with solved exercises and homework and encourage readers to understand the potential and the limitations of the environments.
- Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer.
- Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information.
- Undergraduate- and graduate-level students will benefit from the exercises in this Lab Manual, because they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding and first-hand experience with remote sensing and digital processing, with a learn-by-doing methodology using applicable examples in natural resources.

https://www.upload.ee/files/15275922/Remote_Sensing_and_Digital_Image_Processing_with_R_-_Lab_Manual.rar.html
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Guo Q., Su Y., Hu T. - LiDAR Principles, Processing and Applications in Forest Ecology

Academic Press, 2023
pdf, 509 pages, english
ISBN: 978-0-12-823894-3




LiDAR Principles, Processing and Applications in Forest Ecology introduces the principles of LiDAR technology and explains how to collect and process LiDAR data from different platforms based on real-world experience. The book provides state-of the-art algorithms on how to extract forest parameters from LiDAR and explains how to use them in forest ecology. It gives an interdisciplinary view, from the perspective of remote sensing and forest ecology. Because LiDAR is still rapidly developing, researchers must use programming languages to understand and process LiDAR data instead of established software. In response, this book provides Python code examples and sample data. Sections give a brief history and introduce the principles of LiDAR, as well as three commonly seen LiDAR platforms. The book lays out step-by-step coverage of LiDAR data processing and forest structure parameter extraction, complete with Python examples. Given the increasing usefulness of LiDAR in forest ecology, this volume represents an important resource for researchers, students and forest managers to better understand LiDAR technology and its use in forest ecology across the world. The title contains over 15 years of research, as well as contributions from scientists across the world.

https://www.upload.ee/files/15336185/LiDAR_Principles__Processing_and_Applications_in_Forest_Ecology.rar.html
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