Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…

This book focuses on geospatial techniques, climate science, and predicting risk applications and challenges. It bridges the gap between the principles of geographic information science (GIS), remote sensing technology, global positioning system (GPS), and machine learning. It emphasizes the application and significance of remotely sensed data and GIS technologies in different aspects of climate science data. It considers the use of geospatial and AI in resource studies, primarily focusing on water, air, soil, urban, climate, and environmental aspects supported by case studies.
Features: * Includes geographic technologies application with an emphasis on its modeling of climate change and meteorological elements. * Merges geospatial technologies and AI methodologies. * Provides canvas for social impact and community involvement in the application of geospatial technology across several industries. * Examines heatwaves, cold waves, and dust storm models using satellite data and GIS. * Case studies highlight the use and applicability of drones with geospatial technology.
This book is aimed at researchers and graduate students in geospatial sciences and environmental engineering.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
Stock availability can be subject to change without notice. We recommend calling the shop or contacting our online team to check availability of low stock items. Please see our Shopping Online page for more details.
This book focuses on geospatial techniques, climate science, and predicting risk applications and challenges. It bridges the gap between the principles of geographic information science (GIS), remote sensing technology, global positioning system (GPS), and machine learning. It emphasizes the application and significance of remotely sensed data and GIS technologies in different aspects of climate science data. It considers the use of geospatial and AI in resource studies, primarily focusing on water, air, soil, urban, climate, and environmental aspects supported by case studies.
Features: * Includes geographic technologies application with an emphasis on its modeling of climate change and meteorological elements. * Merges geospatial technologies and AI methodologies. * Provides canvas for social impact and community involvement in the application of geospatial technology across several industries. * Examines heatwaves, cold waves, and dust storm models using satellite data and GIS. * Case studies highlight the use and applicability of drones with geospatial technology.
This book is aimed at researchers and graduate students in geospatial sciences and environmental engineering.