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Data Analytics and Artificial Intelligence for Earth Resource Management
- 1st Edition - November 1, 2024
- Editors: Deepak Kumar, Tavishi Tewary, Sulochana Shekhar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 3 5 9 5 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 3 5 9 6 - 2
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizat… Read more
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Request a sales quoteData Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment.
The book explains several different ways data analytics and artificial intelligent can improve and support earth resource management. Predictive modeling can organizations help understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity. Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. And most urgently, data analytics and artificial intelligence can model and predict the impacts of climate change on earth resources and help organizations to develop plans to adapt.
This text is a vital resource for data scientists, data analysts, engineers, and administrators working in earth resource management.
- Comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management
- Real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management
- Clear illustrations, diagrams, and pictures make the content more understandable and engaging
Academicians, AI or Big-Data researchers, data scientists, data analysts, practitioners, and engineers in earth resource management, Also relevant to several industries and academic departments, including: Geography and Earth Sciences Departments, Computer Science and Engineering Departments, Civil and Infrastructure Engineering Departments, Environmental management and conservation, Mining and mineral exploration, Oil and gas industry, Business and Economics Departments, Mathematics and Statistics Departments
1:Introduction to Data Analytics and Artificial Intelligence in Earth Resource Management
2:Basics of Earth Resource Management
1.Overview of Earth Resources
2.Resource Management Techniques
3.Challenges in Earth Resource Management
3:Data Analytics for Earth Resource Management
1.Data Analytics Concepts
2.Applications of Data Analytics in Earth Resource Management
3.Challenges and Limitations of Data Analytics in Earth Resource Management
4:Artificial Intelligence for Earth Resource Management
1.AI Concepts
2.Applications of AI in Earth Resource Management
3.Challenges and Limitations of AI in Earth Resource Management
5:Data Preprocessing Techniques
1.Data Collection and Integration
2.Data Cleaning
3.Data Transformation
4.Data Reduction
6:Analytics for Earth Resource Management
1.Predictive Modeling Techniques
2.Time Series Analysis
3.Regression Analysis
4.Forecasting
7:Machine Learning for Earth Resource Management
1.Introduction to Machine Learning
2.Types of Machine Learning
3.Supervised Learning Techniques
4.Unsupervised Learning Techniques
8:Deep Learning for Earth Resource Management
1.Introduction to Deep Learning
2.Neural Networks
3.Convolutional Neural Networks
4.Recurrent Neural Networks
9:Natural Language Processing for Earth Resource Management
1.Introduction to Natural Language Processing
2.Text Mining
3.Sentiment Analysis
4.Language Translation
10:Remote Sensing and Geographic Information System for Earth Resource Management
1.Overview of Remote Sensing and GIS
2.Introduction to Remote Sensing Techniques
3.Spatial Data Management and Spatial Analysis
4.Applications of Remote Sensing and GIS in Earth Resource Management
11:Case Studies
1.Real-world Case Studies
2.Practical Applications of Data Analytics and AI in Earth Resource Management
12:Future Trends in Data Analytics and AI for Earth Resource Management
1.Emerging Technologies
2.Potential Impact on Earth Resource Management
3.Future Directions
2:Basics of Earth Resource Management
1.Overview of Earth Resources
2.Resource Management Techniques
3.Challenges in Earth Resource Management
3:Data Analytics for Earth Resource Management
1.Data Analytics Concepts
2.Applications of Data Analytics in Earth Resource Management
3.Challenges and Limitations of Data Analytics in Earth Resource Management
4:Artificial Intelligence for Earth Resource Management
1.AI Concepts
2.Applications of AI in Earth Resource Management
3.Challenges and Limitations of AI in Earth Resource Management
5:Data Preprocessing Techniques
1.Data Collection and Integration
2.Data Cleaning
3.Data Transformation
4.Data Reduction
6:Analytics for Earth Resource Management
1.Predictive Modeling Techniques
2.Time Series Analysis
3.Regression Analysis
4.Forecasting
7:Machine Learning for Earth Resource Management
1.Introduction to Machine Learning
2.Types of Machine Learning
3.Supervised Learning Techniques
4.Unsupervised Learning Techniques
8:Deep Learning for Earth Resource Management
1.Introduction to Deep Learning
2.Neural Networks
3.Convolutional Neural Networks
4.Recurrent Neural Networks
9:Natural Language Processing for Earth Resource Management
1.Introduction to Natural Language Processing
2.Text Mining
3.Sentiment Analysis
4.Language Translation
10:Remote Sensing and Geographic Information System for Earth Resource Management
1.Overview of Remote Sensing and GIS
2.Introduction to Remote Sensing Techniques
3.Spatial Data Management and Spatial Analysis
4.Applications of Remote Sensing and GIS in Earth Resource Management
11:Case Studies
1.Real-world Case Studies
2.Practical Applications of Data Analytics and AI in Earth Resource Management
12:Future Trends in Data Analytics and AI for Earth Resource Management
1.Emerging Technologies
2.Potential Impact on Earth Resource Management
3.Future Directions
- No. of pages: 325
- Language: English
- Edition: 1
- Published: November 1, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443235955
DK
Deepak Kumar
Dr. Deepak Kumar is an academic research professional with over 10 years of experience in the fields of remote sensing, energy sciences, climate studies, and analytical research methods in urban planning. He is presently working as a Research Scientist at the Center of Excellence in Weather and Climate Analytics, Atmospheric Science Research Center (ASRC), State University of New York (SUNY), University at Albany (UAlbany) Campus, Albany, New York (USA). He has been associated with Amity University Uttar Pradesh, Noida (India), as an Assistant Professor since 2016. He has completed two government-sponsored research projects as the sole principal investigator. He has been involved in project development, management, laboratory setups, and supervision, along with academic research training for undergraduate, PhD Students and fellow researchers. His research findings are published in reputed peer-reviewed international journals like Elsevier, Springer, Taylor & Francis, Emerald, SAGE, Wiley etc. He has reviewed more than 170+ research articles for reputed high-impact factor journals as an ad-hoc/ adjunct/ invited reviewer or editorial board member. He has published more than 45+ research papers in reputable international journals and supervised 04 PhD Students, and 29 Postgraduate students.
Affiliations and expertise
Research Scientist Center Of Excellence in Weather & Climate Analytics,Atmospheric Sciences Research Center (ASRC) & Amity Institute of Geoinformatics & Remote Sensing (AIGIRS)University at Albany, State University of New York, New York, USATT
Tavishi Tewary
Dr. Tavishi Tewary has over 13 years of experience in policy research and trade impact assessment. She has published various research papers in international journals of high repute. She has also conducted FDPs on Data Analysis using SPSS. She has academic experience teaching postgraduate business school students. She also has experience in providing scientific leadership to high-profile strategic sustainability and conservation initiatives with several years of research experience. Managed cross-sectoral and interdisciplinary teams of professionals to deliver on complex research projects. Currently, she is working as an Assistant Professor and Area Chair Department of Economics with India's one of the best MBA colleges in Noida named Jaipuria Management Institute in Delhi NCR, Uttar Pradesh. Her area of Interest covers International Trade Analysis; Sustainability; International Economics; Socio-Economic Development, Energy, Circular Economy, Industry 4.0. She has presented several research papers at international and national conferences on these topics. She has authored book on circular economy with a publisher of international repute. She has also conducted FDPs on Data Analysis using SPSS, PLS-SEM, and EVIEWS. Also, she has experience in providing scientific leadership to high-profile strategic sustainability and conservation initiatives with several years of research experience.
Affiliations and expertise
Assistant Professor
Jaipuria Institute of Management, Noida
Uttar Pradesh
IndiaSS
Sulochana Shekhar
Dr. Sulochana Shekhar is the Dean of the School of Earth Sciences and Head of the Department of Geography at the Central University of Tamil Nadu, Thiruvarur, India. Her research interests include urban geography and the application of remote sensing and geospatial techniques in urban environments. She has worked on cellular automata-based urban growth models and urban sprawl assessment using entropy for her doctoral research. Object-based image analysis was the main theme of her post-doctoral research at ITC, Netherlands. She has previously worked on projects involving spatial decision support systems for slums (UCL, UK) and extraction of slums and urban green space using object-based image analysis (UTAS, Australia). She has completed major funded projects on housing the urban poor (HUDCO), and the environmental impact of urbanization (UGC-Major) using geospatial techniques. She has collaborated with Cambridge University, UK and completed the UKIERI research project on the interactive spatial decision support system for managing public health.
Affiliations and expertise
Professor and Dean, Central University of Tamil Nadu (CUTN) School of Earth Sciences, CUTN Bridge, Neelakudi, Tamil Nadu, India