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.

Urban informatics is an interdisciplinary approach to understanding, managing, and designing cities using methods based on advanced geospatial methods, computer-based information technologies and other emerging tools. This book provides understanding of developments in geospatial and computational techniques, focusing on the growth/pattern of cities and its implications for the development of smart and sustainable cities from the perspectives of Sustainable Development Goals (SDGs). It covers sustainable development, land use patterns, urban growth analysis, environmental impacts, infrastructure management, and policy. The book focuses on interdisciplinary approach using geospatial data, geographic information systems (GIS), and advanced computational methods to address the challenges in urban informatics. Addresses the problems in implementing smart city initiatives, designing more adaptive, responsive, and resilient cities Offers insightful dimensions to better understand the spatial urban pattern and future projection of for suitable planning and management Discusses theoretical and applied research practices along with background information on the use of advanced technologies in the domain of urban studies Includes practical examples, case studies, and methodologies This book is aimed at graduate students and researchers in environmental engineering and remote sensing.

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.

Urban informatics is an interdisciplinary approach to understanding, managing, and designing cities using methods based on advanced geospatial methods, computer-based information technologies and other emerging tools. This book provides understanding of developments in geospatial and computational techniques, focusing on the growth/pattern of cities and its implications for the development of smart and sustainable cities from the perspectives of Sustainable Development Goals (SDGs). It covers sustainable development, land use patterns, urban growth analysis, environmental impacts, infrastructure management, and policy. The book focuses on interdisciplinary approach using geospatial data, geographic information systems (GIS), and advanced computational methods to address the challenges in urban informatics. Addresses the problems in implementing smart city initiatives, designing more adaptive, responsive, and resilient cities Offers insightful dimensions to better understand the spatial urban pattern and future projection of for suitable planning and management Discusses theoretical and applied research practices along with background information on the use of advanced technologies in the domain of urban studies Includes practical examples, case studies, and methodologies This book is aimed at graduate students and researchers in environmental engineering and remote sensing.