Free Download Geospatial Analytics for Environmental Pollution Modeling: Analysis, Control and Management
English | 2023 | ISBN: 3031452992 | 443 Pages | PDF (True) | 23 MB
This book aims to provide a comprehensive study on various aspects of environmental pollution dynamics using geospatial technology and modeling techniques. The utility of geospatial technology will be demonstrated for the effective study of environmental pollution, as space and location are very important for effective environmental health surveillance. The timeliness of the work is due to the increasing relevance of geospatial technology applications in environmental health investigations. Moreover, different types of pollution are covered in detail, including air and soil, all of which are analyzed using latest Remote Sensing and GIS technology. The basics of environmental pollution and its impacts are covered in the book's first part, while the second part focuses on the use of geospatial technology in investigating and modeling various instances of environmental pollution. The third part discusses policy measures for mitigating environmental pollution hazards, using geospatial analyses and data to craft informed policy decisions. The primary audience for the book is researchers working in the field of environmental pollution with incorporation of geospatial technology, including upper-level undergraduate and graduate students taking courses in remote sensing and its environmental applications. The secondary audience is academicians, planners, environmentalists and policymakers working in the field of environment protection and management.

Free Download Learning Geospatial Analysis with Python
by Lawhead, Joel;
English | 2023 | ISBN: 1837639175 | 432 pages | True PDF | 53.02 MB

Free Download Handbook of Geospatial Artificial Intelligence
by Song Gao
English | 2023 | ISBN: 1032311665 | 469 pages | True PDF | 61.18 MB

Free Download Cartography; Visualization of Geospatial Data
by Menno-Jan Kraak
English | 2021 | ISBN: 1138613959 | 263 pages | True PDF | 83.7 MB

Free Download Geospatial Data Analytics on AWS: Discover how to manage and analyze geospatial data in the cloud
English | 2023 | ISBN: 9781804613825 | 276 Pages | PDF EPUB (True) | 36 MB
Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.

Lawhead J Learning Geospatial Analysis with Python GIS remote sens 4ed 2023 | 53.02 MB
N/A | 432 Pages

Title: Learning Geospatial Analysis with Python
Author: Lawhead, Joel;
Year: N/A

Free Download Geospatial Analyses & Remote Sensing From Beginner To Pro
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.36 GB | Duration: 8h 46m
Learn Remote Sensing, QGIS & GIS , main concepts, machine learning, QGIS classification, change detection, Earth Engine
What you'll learn

Geospatial Research Concepts, Methodologies, Tools, and Applications 2016 | 236.63 MB
N/A | 2036 Pages

Title: Geospatial Research
Author: Information Resources Management Association
Year: N/A

Geospatial Intelligence Concepts, Methodologies, Tools, and Applications 2019 | 229.54 MB
N/A | 1889 Pages

Title: someTitle
Author: someAuthor
Year: N/A

Free Download Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
English | 2023 | ISBN: 1032200316 | 423 Pages | PDF (True) | 185 MB
Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain.