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Submit a ProposalGeospatial Technology for Natural Resource Management
 | Edited by Shruti Kanga, Gowhar Meraj, Suraj Kumar Singh, Majid Farooq, and M. S. Nathawat Copyright: 2025 | Status: Published ISBN: 9781394166367 | Hardcover | 580 pages Price: $225 USD  |
One Line Description
This book is essential for anyone interested in understanding and implementing sustainable resource development strategies, as it covers the crucial first stage of assessing resource availability and condition, along with the use of modern geospatial technologies such as remote sensing, GIS, and GPS for surveying, mapping, and monitoring various resources for global environmental protection and sustainable development.
Audience
Researchers, academicians, urban planners, environmentalists, policy makers, scientists, and ecologists working in areas of geoinformatics and resource management
Researchers, academicians, urban planners, environmentalists, policy makers, scientists, and ecologists working in areas of geoinformatics and resource management
Description
The first stage in developing a sustainable resource development strategy is to assess the resources availability and condition. Assessing the baseline rates or levels of various phenomena, as well as establishing the trends in these measures or conditions, identifying the sources of rates and trends, and assessing the consequences of these rates or trends are all steps in the assessment process. A third component, mitigation, indicates the policies or directives that must be implemented as a result of the incident. Modern geospatial technologies, such as Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS), have provided extremely powerful methods for surveying, identifying, classifying, mapping, monitoring, and characterizing various resources, both renewable and nonrenewable, living and nonliving in nature. An essential part of remote sensing is determining, increasing, and monitoring the overall capacity of the Earth through the use of geospatial data. Global environmental protection, disaster reduction, and sustainable development depend on satellite observations of land, oceans, and the atmosphere, particularly during natural and human induced events. When using space based sensors for remote sensing, it is possible to gather both repetitive (ranging from minutes to days) and global (covering the entire globe) data. Crop inventory and forecasts, drought and flood damage assessment, land use monitoring, and management are just a few of the possible uses for these data. For many applications relevant to national development, India has become a leading provider of observational data in a wide range of resolutions in many geographical, spectral, and temporal dimensions. In order to identify a geographic location and describe the context, GPS gives worldwide positionally accurate coordinates. GPS is an important monitoring tool since it can repeatedly collect data about the Earths characteristics and phenomena at a low cost. As a result of GISs ability to visualize geospatial data, we are able to communicate complicated information, such as natural resources, in a way that is both convenient and effective. As a further benefit, GIS can generate, edit, store, and analyse vital spatial data for planning and decision making purposes. An important development in technology has made it possible to examine environmental and natural resource challenges in a spatial perspective. When it comes to solving problems, GIS provides the ability to model diverse phenomena and examine their interaction, for example, in a place based context, so that we may evaluate complex and integrated concerns from local to global dimensions.
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The first stage in developing a sustainable resource development strategy is to assess the resources availability and condition. Assessing the baseline rates or levels of various phenomena, as well as establishing the trends in these measures or conditions, identifying the sources of rates and trends, and assessing the consequences of these rates or trends are all steps in the assessment process. A third component, mitigation, indicates the policies or directives that must be implemented as a result of the incident. Modern geospatial technologies, such as Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS), have provided extremely powerful methods for surveying, identifying, classifying, mapping, monitoring, and characterizing various resources, both renewable and nonrenewable, living and nonliving in nature. An essential part of remote sensing is determining, increasing, and monitoring the overall capacity of the Earth through the use of geospatial data. Global environmental protection, disaster reduction, and sustainable development depend on satellite observations of land, oceans, and the atmosphere, particularly during natural and human induced events. When using space based sensors for remote sensing, it is possible to gather both repetitive (ranging from minutes to days) and global (covering the entire globe) data. Crop inventory and forecasts, drought and flood damage assessment, land use monitoring, and management are just a few of the possible uses for these data. For many applications relevant to national development, India has become a leading provider of observational data in a wide range of resolutions in many geographical, spectral, and temporal dimensions. In order to identify a geographic location and describe the context, GPS gives worldwide positionally accurate coordinates. GPS is an important monitoring tool since it can repeatedly collect data about the Earths characteristics and phenomena at a low cost. As a result of GISs ability to visualize geospatial data, we are able to communicate complicated information, such as natural resources, in a way that is both convenient and effective. As a further benefit, GIS can generate, edit, store, and analyse vital spatial data for planning and decision making purposes. An important development in technology has made it possible to examine environmental and natural resource challenges in a spatial perspective. When it comes to solving problems, GIS provides the ability to model diverse phenomena and examine their interaction, for example, in a place based context, so that we may evaluate complex and integrated concerns from local to global dimensions.
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Author / Editor Details
Suraj Kumar Singh, PhD is an assistant professor at the Centre for Land Resource Management, Central University of Jharkhand, Ranchi. He over 12 years of teaching and research experience in the areas of waterlogging and flood hazards, geospatial applications in water resources, disaster management, hydrogeomorphology, urban planning, and wasteland mapping. He was previously a course coordinator for different modules of the EDUSAT based distance learning program organized by the Indian Institute of Remote Sensing, Indian Space Research Organization, Government of India.
Suraj Kumar Singh, PhD is an assistant professor at the Centre for Land Resource Management, Central University of Jharkhand, Ranchi. He over 12 years of teaching and research experience in the areas of waterlogging and flood hazards, geospatial applications in water resources, disaster management, hydrogeomorphology, urban planning, and wasteland mapping. He was previously a course coordinator for different modules of the EDUSAT based distance learning program organized by the Indian Institute of Remote Sensing, Indian Space Research Organization, Government of India.
Shruti Kanga, PhD is an assistant professor in the Centre for Land Resource Management, Central University of Jharkhand, Ranchi. Her main areas of interest include forest fire risk modeling and management, tourism, and resource management. She has attended and organized over 35 national and international conferences. She has over 12 years of teaching and research experience. She was also the course coordinator for different modules of the EDUSAT based distance learning program organized by the Indian Institute of Remote Sensing, ISRO Indian Space Research Organization, Governement of India.
Gowhar Meraj, PhD works in the field of remote sensing, watershed management, hydrology, disaster risk assessment and mitigation, simulation modelling, and spatial analysis. He is the principal investigator of a Department of Science and Technology, Government of India sponsored research project where he assesses the impact of climate change on the critical ecosystem services of the Kashmir Valley. His work is with INVEST modelling for assessing sediment retention services, water yield services, and habitat quality in the Kashmir valley. He has more than 40 research publications with an H10-index of 21 and an H-index of 17.
Majid Farooq, PhD is a working scientist in the Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, India. He has more than 15 years of experience in research, teaching, and consultancy related to remote sensing and GIS such as climate change vulnerability assessments, flood modeling, ecosystem assessment, watershed management, natural resource management, ecosystem services, and modeling.
M. S. Nathawat, PhD is a scientist of international repute. He has more than 150 publications in various international and national journals. His primary areas of research include remote sensing, natural resource management, environmental assessments, desertification, remote sensing and GIS, natural resources management, physical geography, regional and urban planning, environmental geomorphology, climate change and disaster management. He is also a member of expert committees in various national bodies.
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Table of Contents
Editorial
Preface
Acknowledgements
1. Hydro-Chemical Characterization and Geospatial Analysis of Groundwater for Drinking and Agriculture Usage in Bhandara District, Central India
Nanabhau Kudnar, Nand Lal Kushwaha, Madiga Rajashekhar, Varun Narayan Mishra, Rongali Mahesh and Malkhan Singh Jatav
1.1 Introduction
1.2 Study Area
1.3 Methodology
1.3.1 Data Used
1.3.2 Descriptive Statistics Analysis
1.3.3 Mann–Kendall Test (Non-Parametric Test)
1.3.4 Regression Model (Parametric Test)
1.3.5 Spearman’s Rank Correlation Coefficient
1.3.6 Inverse Distance Weighing
1.3.7 Groundwater Quality
1.3.8 Piper Diagram
1.3.9 Groundwater for Drinking and Irrigation Purposes
1.4 Results and Discussion
1.4.1 Statistical Characteristics
1.4.2 Trend Analysis
1.4.3 Linear Regression Analysis
1.4.4 Spatial–Temporal Rainfall Distribution
1.4.5 Effects of Water Pollution
1.4.5.1 Solution Steps
1.4.5.2 Chemical Constituents of Groundwater
1.4.6 Drinking and Irrigation Purposes
1.5 Conclusion
References
2. Technology-Driven Approaches to Enhance Disaster Response and Recovery
Chandni Kirpalani
2.1 Introduction
2.1.1 The Importance of Disaster Management and the Challenges Faced During Emergencies
2.1.2 The Critical Role of Technology in Improving Disaster Response, Mitigation, and Recovery Efforts
2.1.3 Literature Review Related to Various Technology-Driven Approaches to Supplement Disaster Response and Recovery Strategies
2.2 Early Warning Systems
2.2.1 Remote Sensing and Satellite Technology
2.2.1.1 Use of Remote Sensing and Satellite Technology for Monitoring Natural Disasters such as Hurricanes, Floods, and Wildfires
2.2.1.2 Role of Satellite Imagery in Helping Early Detection, Tracking, and Prediction of Disaster Events
2.2.1.3 Examples of Successful Early Warning Systems Implemented Using Remote
Sensing Data
2.2.2 Sensor Networks and Internet of Things (IoT)
2.2.2.1 The Role of Sensor Networks and IoT Devices in Disaster Management
2.2.2.2 Use of Sensors to Monitor Various Parameters Like Temperature, Humidity, Seismic Activity, and Water Levels to Provide Early Warnings
2.2.2.3 The Importance of Data Integration and Real-Time Communication in Ensuring Timely Responses
2.3 Emergency Communication and Information Management
2.3.1 Mobile Technologies
2.3.1.1 Use of Mobile Phones, SMS Alerts and Mobile Apps in Disseminating
Emergency Alerts and Information
2.3.1.2 Benefit of Using Mobile Technologies in Coordinating Rescue Operations, Locating Survivors and Providing Critical Updates to Affected Populations
2.3.1.3 Case Studies Where Mobile Technologies Played a Pivotal Role in Disaster Management
2.3.2 Social Media and Crowdsourcing
2.3.2.1 The Significance of Social Media Platforms in Disaster Management
2.3.2.2 Role of Social Media to Gather Real-Time Information, Identify Affected Areas, and Mobilize Volunteers
2.3.2.3 The Concept of Crowdsourcing and How it Can Assist in Data Collection, Damage Assessment, and Resource Allocation
2.4 Geospatial Technologies for Situational Awareness
2.4.1 Geographic Information Systems (GISs)
2.4.1.1 GIS and Its Applications in Disaster Management
2.4.1.2 Role of GIS in Creating Spatial Databases, Mapping Affected Areas, and Analyzing Vulnerability and Risk
2.4.1.3 Integration of GIS with Other Technologies for Better Situational Awareness
2.4.2 Unmanned Aerial Vehicles (UAVs) and Drones
2.4.2.1 Role of UAVs and Drones in Disaster Response and Recovery
2.4.2.2 Applications of UAVs in Aerial Surveys, Damage Assessment, and Search and Rescue Operations
2.4.2.3 Challenges and Ethical Considerations Associated with the Use of Drones
in Disaster Management
2.5 Data Analytics and Decision Support Systems
2.5.1 Big Data and Predictive Analytics
2.5.1.1 Big Data Analytics Application in Disaster Risk Assessment, Resource Allocation, and Decision Making
2.5.1.2 Potential of Predictive Analytics in Forecasting Disaster Impacts, Identifying Vulnerable Populations, and Optimizing Response Strategies
2.5.2 Artificial Intelligence (AI) and Machine Learning (ML)
2.5.2.1 The Use of AI and ML Techniques in Disaster Management
2.5.2.2 Applications of AI-Powered Algorithms for Analyzing Large Datasets, Automating Damage Assessment, and Supporting Evacuation Planning
2.5.2.3 Ethical Implications and Challenges of Using AI and ML in Disaster Response
2.6 Conclusion
2.6.1 Key Advancements in Technology for Disaster Management Discussed in the Chapter
2.6.2 The Need for Continued Research, Innovation, and Collaboration to Harness Technology’s Full Potential in Mitigating the Impacts of Disasters
2.6.3 Vision for the Future, Where Technology Plays a Central Role in Building Resilient Communities and Enhancing Disaster Preparedness
References
3. Integrating Sustainable Development Goals with the Management of Natural and Technological Hazards and Disaster Risk Reduction
Prateek Srivastava and Ambrina Sardar Khan
3.1 Introduction
3.1.1 Types of Disasters/Hazards
3.1.1.1 Natural Disasters
3.1.1.2 Technological Hazards
3.1.1.3 Biological Hazards
3.1.1.4 Climate-Related Hazards
3.1.2 Disaster Management
3.1.3 Disaster Risk Reduction
3.2 SD and SDGs
3.2.1 Timeline of SDGs
3.2.2 Concept of Sustainability
3.2.3 Goal 1: No Poverty
3.2.4 Goal 2: Zero Hunger
3.2.5 Goal 3: Good Health and Well-Being
3.2.6 Goal 4: Quality Education
3.2.7 Goal 5: Gender Equality
3.2.8 Goal 6: Clean Water and Sanitation
3.2.9 Goal 7: Affordable and Clean Energy
3.2.10 Goal 8: Decent Work and Economic Growth
3.2.11 Goal 9: Industry, Innovation, and Infrastructure
3.2.12 Goal 10: Reduced Inequality
3.2.13 Goal 11: Sustainable Cities and Communities
3.2.14 Goal 12: Responsible Consumption and Production
3.2.15 Goal 13: Climate Action
3.2.16 Goal 14: Life Below Water
3.2.17 Goal 15: Life on Land
3.2.18 Goal 16: Peace and Justice Strong Institutions
3.2.19 Goal 17: Partnerships to Achieve the Goal
3.3 Conclusion
References
4. Hydrological and Morphometric Study of the Girna River Basin, Maharashtra Using Remote Sensing and GIS Techniques
Pranaya Diwate, Ashish B Itolikar, Firoz Khan, Kunal Chinche and Pranali Kathe
4.1 Introduction
4.2 Study Area
4.3 Database and Methodology
4.4 Results and Discussion
4.4.1 Linear Aspects
4.4.1.1 Stream Order (Nu)
4.4.1.2 Stream Number (Nu)
4.4.1.3 Stream Length (Lu) and Mean/Average Stream Length (Lu1)
4.4.1.4 Stream Length Ratio (RL)
4.4.1.5 Bifurcation Ratio (Rb)
4.4.2 Areal Aspects
4.4.2.1 Drainage Density (Dd)
4.4.2.2 Stream Frequency (Fs)
4.4.2.3 Drainage Texture (Dt)
4.4.2.4 Elongation Ratio (Re)
4.4.2.5 Circularity Ratio (Rc)
4.4.2.6 Form Factor (Ff)
4.4.3 Relief Aspects
4.4.3.1 Basin Relief (R)
4.4.3.2 Relief Ratio (Rr)
4.4.3.3 Slope
4.4.3.4 Gradient Ratio
4.5 Conclusion
Acknowledgments
References
5. A Geospatial Analysis of the Effect of Waste Disposal on Groundwater Quality in Ife North Local Government Area, Osun State, Nigeria
J. O. Nwaezeigwe and T. A. Babatunde
5.1 Introduction
5.2 Study Area
5.3 Materials and Methods
5.3.1 Data
5.3.2 Data Analysis
5.4 Results and Discussion
5.4.1 Characteristics of Selected Dumpsites
5.4.2 Uses of Groundwater
5.4.3 Quality of Selected Groundwater
Conclusion
References
6. Enhancing Sustainable Natural Resource Management Through Innovative Use of Waste Materials in Concrete Production
Saurabh Singh, Suraj Kumar Singh, Sujeet Kumar, Bhartendu Sajan and Gowhar Meraj
6.1 Introduction
6.2 Data Collection and Methodology
6.2.1 Experimental Design
6.2.2 Mix Proportions
6.2.3 Preparation of Specimens
6.2.4 Curing Process
6.2.5 Testing of Specimens
6.3 Results and Analysis
6.3.1 Compressive Strength and Tensile Strength at 28 Days
6.3.2 Workability Results from Slump and Compaction Factor Tests
6.4 Conclusion
References
7. Dynamics of Land Use/Land Cover of Watershed Changes in Kolhapur District Maharashtra
K.S. Kumbhar, Rishikesh Golekar and Pranaya Diwate
7.1 Introduction
7.2 Study Area
7.3 Methodology
7.4 Results and Discussion
7.4.1 Watershed KR 55
7.4.2 Watershed KR 63
7.4.3 Watershed KR 64
7.4.4 Watershed KR 66
7.4.5 Watershed KR 71
7.4.6 Watershed KR 77
7.5 Conclusion
References
8. Formulation and Mapping of GIS-Based Smart Village Plan Using Drone Imagery
Suraj Kumar Singh, Shruti Kanga, Sayeed Afridi, Bhartendu Sajan, Saurabh Singh and Gowhar Meraj
8.1 Introduction
8.2 Study Area
8.3 Materials and Methods
8.3.1 Existing Site Survey and Investigation – Gap Analysis
8.3.1.1 Physical Infrastructure
8.3.1.2 Sewage and Drainage
8.3.1.3 Sanitation
8.3.1.4 Power Supply
8.3.1.5 Solid Waste Management
8.3.1.6 Public Health
8.3.1.7 Road Infrastructure
8.3.1.8 Housing Infrastructure
8.3.1.9 Health Services
8.3.1.10 Education Facilities
8.3.1.11 Maternity and Childcare
8.3.1.12 Dungarpur Reelka Infrastructure Matrix
8.4 Results and Discussion
8.4.1 Solid Waste Management
8.4.2 Kill Waste
8.4.3 Drinking Water
8.4.4 Drainage
8.4.5 Rainwater Harvesting
8.4.6 Sewage
8.4.7 Solar Street Light
8.4.8 Solar Energy
8.4.9 Biogas Plant
8.4.10 Smart Agriculture
8.4.11 Organic Farming
8.4.12 Farming
8.4.13 Poultry Farming
8.4.14 Fish Farming
8.4.15 Ayurvedic Farming
8.4.16 Smart Dairy
8.4.17 Food Processing Center
8.4.18 Handicraft
8.4.19 Grain Storage
8.4.20 Plantation
8.4.21 Smart Healthcare
8.4.22 Animal Clinic
8.4.23 Smart Education
8.4.24 Village Market
8.5 Conclusion
References
9. Varanasi’s Land Mosaic: A Geospatial Analysis for Peri-Urban Area Planning and Management
Nitish Kumar Singh, Vijay Kumar Baraik and Mahendra Singh Nathawat
9.1 Introduction
9.2 Description of Study Area, Data Source, and Methods
9.2.1 Study Area
9.2.2 Data Source
9.2.3 Method
9.3 Results and Discussion
9.3.1 Accuracy Assessment
9.3.2 Dynamics of Agricultural Land
9.3.3 Dynamics of Built-Up Land
9.3.3.1 High-Density Built-Up Land
9.3.3.2 Medium-Density Built-Up Land
9.3.3.3 Low-Density Built-Up Land
9.3.3.4 Dispersed Built-Up Land
9.3.4 Dynamics of Vacant/Open Land
9.3.5 Dynamics of Vegetation Cover
9.3.6 Dynamics of Wasteland-Riverine Sandy Area
9.3.7 Dynamics of Water Body
9.4 Conclusion
References
10. Human Resource Influences on Online Shopping Behavior: Factors, Preferences, and Satisfaction Among Consumers in North Bengal, India
Subham Dey Sarkar, Sushmita Singh, Anuusua Poddar, Tuhin Dey Roy, Pranoy Dey and Arindam Basak
Introduction
Influences of Human Resource on Online Shopping
Behavior
Database and Methodology
Factor Analysis
Importance-Performance Analysis
Result
Demographic Profile of Online Shopping Adopters and Non-Adopters
Factors of Using Online Shopping
Consumer Satisfaction on Online Shopping Attributes
Keep Up the Good Work (High Importance, High Performance)
Potential Overkill (Low Importance, High Performance)
Low Priority (Low Importance, Low Performance)
Concentrate Here (High Importance, Low Performance)
Discussion
Conclusion
References
11. Tourism and Protected Areas in India—A Symbiotic Relationship
Sagar Sood, Kesar Chand, Aditi Kohli, Shruti Kanga, Suraj Kumar Singh and Gowhar Meraj
Introduction
Methodology
What is a Protected Area (PA)?
Status of PAs in India
Growth of PAs in India
Tourism and PAs in India
The Tourists
Local Communities
Constitutional and Legislative Framework with respect to Tourism Management in PAs of India
Constitutional Framework for PAs in India
Legislative Framework
Conclusion
References
12. Diatoms from Indian Himalaya (Renuka Lake) Responses to 20th Century Global Warming and Climate Change
Pranaya Diwate, Narendra Kumar Meena, Sundeep Pandita, Khayingshing Luirei, Sumedh Humane and Ravi Bhushan
12.1 Introduction
12.2 Study Area
12.3 Material and Methods
12.3.1 Sampling and Diatom Analysis
12.3.2 Chronology
12.3.3 Diatom
12.3.4 Grain Size
12.3.5 Global Linkage
12.4 Results
12.4.1 137Cs Isotope, 210Pb Isotope
12.4.2 Diatoms and Grain Size
12.4.3 Classification and Quantification of Diatoms and Chrysophycean Cysts
12.5 Discussion
12.5.1 Temporal Variation in Diatoms and its Ecological Implications
12.5.2 Traces of 20th Century Global Warming in the Himalayan Region
12.6 Conclusions
Acknowledgments
References
13. Beas Basin Snow Area Health Monitoring Utilizing Remote Sensing with Elevation Zones and Aspect
Roy K., Kant C. and Meena R.S.
13.1 Introduction
13.2 Materials and Methods
13.2.1 Study Area and Data Source
13.2.2 Data Collection
13.2.3 Selection of Input Parameters and Method
13.2.4 Topographical Factors
13.2.5 Estimation of Snow Cover Area Using NDSI
13.2.6 Rate of Change of SCA with Elevation
13.3 Results and Discussions
13.3.1 SCA Variation with Elevation Bands
13.4 Conclusions
Acknowledgments
References
14. Evaluation of Groundwater Potential Zones in Godavari Sub‑Basin Using Analytical Hierarchy Process (AHP) and GIS
Manoj Pawar, Pavankumar Giri, Pranali Kathe and Pranaya Diwate
14.1 Introduction
14.2 Study Area and Location
14.3 Material and Methodology
14.4 Results and Discussion
14.4.1 Slope
14.4.2 Geomorphology
14.4.3 Drainage Density
14.4.4 Lineament Density
14.4.5 Integration
14.5 Conclusion
References
15. Analyzing the Trend of LULC Change Over Five Decades in Dhanbad District, Jharkhand (India) Using Geospatial Techniques
Gaurav Chakrabarty, M.S. Nathawat and Suman Sinha
15.1 Introduction
15.2 Materials and Methods
15.2.1 Study Area
15.2.1.1 Geology
15.2.1.2 Soil
15.2.1.3 Climate
15.2.2 Data Used
15.2.3 Methodology
15.2.4 Trend Analysis
15.2.5 Accuracy Assessment
15.3 Results and Discussion
15.3.1 NDVI Classification
15.3.2 Land Use/Land Cover Status
15.3.3 Change Assessment
15.3.4 Trend Analysis
15.3.5 Accuracy Assessment
15.3.6 Findings and Comparison of Trends with Published Literature
15.4 Limitations and Future Scope
15.5 Conclusion
Acknowledgments
References
16. Assessing Land Susceptibility to Degradation and Sustainability Challenges for Siddharthnagar District, Uttar Pradesh
Rajesh Kumar Abhay, Shweta Rani and Satish Kumar Saini
16.1 Introduction
16.2 Material and Methods
16.2.1 Geographical Profile of the Study Area
16.2.2 Data Source and Research Methodology
16.2.2.1 Data Sources and Selected Indicators
16.3 Results and Discussion
16.3.1 Rainfall Pattern
16.3.2 Proximity to River
16.3.3 Soil Erosion
16.3.4 Drainage Density
16.3.5 Stream Frequency
16.3.6 Land Use/Land Cover
16.3.7 Cropping Intensity
16.4 Spatial Disparities in Land Susceptibility to Degradation
16.4.1 Land Degradation and Sustainability Challenges
16.5 Conclusion
Acknowledgments
References
17. Examining Socio-Economic Realities and Challenges in West Bengal’s Labor Force: A Case Study
Arindam Mondal, Naina Sambher and D.D. Sharma
17.1 Introduction
17.2 Review of Literature
17.3 Aims and Objectives
17.4 Study Area
17.5 Data Source and Methodology
17.6 Analysis and Discussions
17.7 Conclusions
Acknowledgments
Declaration of Conflicting Interests
Funding
References
18. Reviving the Spiritual Heartland: Enhancing Cultural Tourism in Kushinagar Through SWOT Analysis
Ankit Singh and Anjali Shukla
18.1 Introduction
18.2 Study Area
18.3 Objectives
18.4 Methodology
18.5 Results and Discussion
18.5.1 Major Cultural Places in Kushinagar District
18.5.1.1 Mahaparinirvana Temple
18.5.1.2 Mahaparinirvana or Nirvana Stupa
18.5.1.3 Matha Kuwara Shrine
18.5.1.4 Ramabhar Stupa
18.5.1.5 Pava, Where the Buddha had his Last Meal
18.5.1.5.1 Buddhist Museum
18.5.1.5.2 Stupa of the Mallas of Pava
18.5.1.5.3 Pava and Jain Religion
18.5.1.6 Buddhist Museum
18.5.1.7 SWOT Analysis of Cultural Tourism in Kushinagar District
18.6 Conclusion and Recommendations
References
Index
Back to Top
Editorial
Preface
Acknowledgements
1. Hydro-Chemical Characterization and Geospatial Analysis of Groundwater for Drinking and Agriculture Usage in Bhandara District, Central India
Nanabhau Kudnar, Nand Lal Kushwaha, Madiga Rajashekhar, Varun Narayan Mishra, Rongali Mahesh and Malkhan Singh Jatav
1.1 Introduction
1.2 Study Area
1.3 Methodology
1.3.1 Data Used
1.3.2 Descriptive Statistics Analysis
1.3.3 Mann–Kendall Test (Non-Parametric Test)
1.3.4 Regression Model (Parametric Test)
1.3.5 Spearman’s Rank Correlation Coefficient
1.3.6 Inverse Distance Weighing
1.3.7 Groundwater Quality
1.3.8 Piper Diagram
1.3.9 Groundwater for Drinking and Irrigation Purposes
1.4 Results and Discussion
1.4.1 Statistical Characteristics
1.4.2 Trend Analysis
1.4.3 Linear Regression Analysis
1.4.4 Spatial–Temporal Rainfall Distribution
1.4.5 Effects of Water Pollution
1.4.5.1 Solution Steps
1.4.5.2 Chemical Constituents of Groundwater
1.4.6 Drinking and Irrigation Purposes
1.5 Conclusion
References
2. Technology-Driven Approaches to Enhance Disaster Response and Recovery
Chandni Kirpalani
2.1 Introduction
2.1.1 The Importance of Disaster Management and the Challenges Faced During Emergencies
2.1.2 The Critical Role of Technology in Improving Disaster Response, Mitigation, and Recovery Efforts
2.1.3 Literature Review Related to Various Technology-Driven Approaches to Supplement Disaster Response and Recovery Strategies
2.2 Early Warning Systems
2.2.1 Remote Sensing and Satellite Technology
2.2.1.1 Use of Remote Sensing and Satellite Technology for Monitoring Natural Disasters such as Hurricanes, Floods, and Wildfires
2.2.1.2 Role of Satellite Imagery in Helping Early Detection, Tracking, and Prediction of Disaster Events
2.2.1.3 Examples of Successful Early Warning Systems Implemented Using Remote
Sensing Data
2.2.2 Sensor Networks and Internet of Things (IoT)
2.2.2.1 The Role of Sensor Networks and IoT Devices in Disaster Management
2.2.2.2 Use of Sensors to Monitor Various Parameters Like Temperature, Humidity, Seismic Activity, and Water Levels to Provide Early Warnings
2.2.2.3 The Importance of Data Integration and Real-Time Communication in Ensuring Timely Responses
2.3 Emergency Communication and Information Management
2.3.1 Mobile Technologies
2.3.1.1 Use of Mobile Phones, SMS Alerts and Mobile Apps in Disseminating
Emergency Alerts and Information
2.3.1.2 Benefit of Using Mobile Technologies in Coordinating Rescue Operations, Locating Survivors and Providing Critical Updates to Affected Populations
2.3.1.3 Case Studies Where Mobile Technologies Played a Pivotal Role in Disaster Management
2.3.2 Social Media and Crowdsourcing
2.3.2.1 The Significance of Social Media Platforms in Disaster Management
2.3.2.2 Role of Social Media to Gather Real-Time Information, Identify Affected Areas, and Mobilize Volunteers
2.3.2.3 The Concept of Crowdsourcing and How it Can Assist in Data Collection, Damage Assessment, and Resource Allocation
2.4 Geospatial Technologies for Situational Awareness
2.4.1 Geographic Information Systems (GISs)
2.4.1.1 GIS and Its Applications in Disaster Management
2.4.1.2 Role of GIS in Creating Spatial Databases, Mapping Affected Areas, and Analyzing Vulnerability and Risk
2.4.1.3 Integration of GIS with Other Technologies for Better Situational Awareness
2.4.2 Unmanned Aerial Vehicles (UAVs) and Drones
2.4.2.1 Role of UAVs and Drones in Disaster Response and Recovery
2.4.2.2 Applications of UAVs in Aerial Surveys, Damage Assessment, and Search and Rescue Operations
2.4.2.3 Challenges and Ethical Considerations Associated with the Use of Drones
in Disaster Management
2.5 Data Analytics and Decision Support Systems
2.5.1 Big Data and Predictive Analytics
2.5.1.1 Big Data Analytics Application in Disaster Risk Assessment, Resource Allocation, and Decision Making
2.5.1.2 Potential of Predictive Analytics in Forecasting Disaster Impacts, Identifying Vulnerable Populations, and Optimizing Response Strategies
2.5.2 Artificial Intelligence (AI) and Machine Learning (ML)
2.5.2.1 The Use of AI and ML Techniques in Disaster Management
2.5.2.2 Applications of AI-Powered Algorithms for Analyzing Large Datasets, Automating Damage Assessment, and Supporting Evacuation Planning
2.5.2.3 Ethical Implications and Challenges of Using AI and ML in Disaster Response
2.6 Conclusion
2.6.1 Key Advancements in Technology for Disaster Management Discussed in the Chapter
2.6.2 The Need for Continued Research, Innovation, and Collaboration to Harness Technology’s Full Potential in Mitigating the Impacts of Disasters
2.6.3 Vision for the Future, Where Technology Plays a Central Role in Building Resilient Communities and Enhancing Disaster Preparedness
References
3. Integrating Sustainable Development Goals with the Management of Natural and Technological Hazards and Disaster Risk Reduction
Prateek Srivastava and Ambrina Sardar Khan
3.1 Introduction
3.1.1 Types of Disasters/Hazards
3.1.1.1 Natural Disasters
3.1.1.2 Technological Hazards
3.1.1.3 Biological Hazards
3.1.1.4 Climate-Related Hazards
3.1.2 Disaster Management
3.1.3 Disaster Risk Reduction
3.2 SD and SDGs
3.2.1 Timeline of SDGs
3.2.2 Concept of Sustainability
3.2.3 Goal 1: No Poverty
3.2.4 Goal 2: Zero Hunger
3.2.5 Goal 3: Good Health and Well-Being
3.2.6 Goal 4: Quality Education
3.2.7 Goal 5: Gender Equality
3.2.8 Goal 6: Clean Water and Sanitation
3.2.9 Goal 7: Affordable and Clean Energy
3.2.10 Goal 8: Decent Work and Economic Growth
3.2.11 Goal 9: Industry, Innovation, and Infrastructure
3.2.12 Goal 10: Reduced Inequality
3.2.13 Goal 11: Sustainable Cities and Communities
3.2.14 Goal 12: Responsible Consumption and Production
3.2.15 Goal 13: Climate Action
3.2.16 Goal 14: Life Below Water
3.2.17 Goal 15: Life on Land
3.2.18 Goal 16: Peace and Justice Strong Institutions
3.2.19 Goal 17: Partnerships to Achieve the Goal
3.3 Conclusion
References
4. Hydrological and Morphometric Study of the Girna River Basin, Maharashtra Using Remote Sensing and GIS Techniques
Pranaya Diwate, Ashish B Itolikar, Firoz Khan, Kunal Chinche and Pranali Kathe
4.1 Introduction
4.2 Study Area
4.3 Database and Methodology
4.4 Results and Discussion
4.4.1 Linear Aspects
4.4.1.1 Stream Order (Nu)
4.4.1.2 Stream Number (Nu)
4.4.1.3 Stream Length (Lu) and Mean/Average Stream Length (Lu1)
4.4.1.4 Stream Length Ratio (RL)
4.4.1.5 Bifurcation Ratio (Rb)
4.4.2 Areal Aspects
4.4.2.1 Drainage Density (Dd)
4.4.2.2 Stream Frequency (Fs)
4.4.2.3 Drainage Texture (Dt)
4.4.2.4 Elongation Ratio (Re)
4.4.2.5 Circularity Ratio (Rc)
4.4.2.6 Form Factor (Ff)
4.4.3 Relief Aspects
4.4.3.1 Basin Relief (R)
4.4.3.2 Relief Ratio (Rr)
4.4.3.3 Slope
4.4.3.4 Gradient Ratio
4.5 Conclusion
Acknowledgments
References
5. A Geospatial Analysis of the Effect of Waste Disposal on Groundwater Quality in Ife North Local Government Area, Osun State, Nigeria
J. O. Nwaezeigwe and T. A. Babatunde
5.1 Introduction
5.2 Study Area
5.3 Materials and Methods
5.3.1 Data
5.3.2 Data Analysis
5.4 Results and Discussion
5.4.1 Characteristics of Selected Dumpsites
5.4.2 Uses of Groundwater
5.4.3 Quality of Selected Groundwater
Conclusion
References
6. Enhancing Sustainable Natural Resource Management Through Innovative Use of Waste Materials in Concrete Production
Saurabh Singh, Suraj Kumar Singh, Sujeet Kumar, Bhartendu Sajan and Gowhar Meraj
6.1 Introduction
6.2 Data Collection and Methodology
6.2.1 Experimental Design
6.2.2 Mix Proportions
6.2.3 Preparation of Specimens
6.2.4 Curing Process
6.2.5 Testing of Specimens
6.3 Results and Analysis
6.3.1 Compressive Strength and Tensile Strength at 28 Days
6.3.2 Workability Results from Slump and Compaction Factor Tests
6.4 Conclusion
References
7. Dynamics of Land Use/Land Cover of Watershed Changes in Kolhapur District Maharashtra
K.S. Kumbhar, Rishikesh Golekar and Pranaya Diwate
7.1 Introduction
7.2 Study Area
7.3 Methodology
7.4 Results and Discussion
7.4.1 Watershed KR 55
7.4.2 Watershed KR 63
7.4.3 Watershed KR 64
7.4.4 Watershed KR 66
7.4.5 Watershed KR 71
7.4.6 Watershed KR 77
7.5 Conclusion
References
8. Formulation and Mapping of GIS-Based Smart Village Plan Using Drone Imagery
Suraj Kumar Singh, Shruti Kanga, Sayeed Afridi, Bhartendu Sajan, Saurabh Singh and Gowhar Meraj
8.1 Introduction
8.2 Study Area
8.3 Materials and Methods
8.3.1 Existing Site Survey and Investigation – Gap Analysis
8.3.1.1 Physical Infrastructure
8.3.1.2 Sewage and Drainage
8.3.1.3 Sanitation
8.3.1.4 Power Supply
8.3.1.5 Solid Waste Management
8.3.1.6 Public Health
8.3.1.7 Road Infrastructure
8.3.1.8 Housing Infrastructure
8.3.1.9 Health Services
8.3.1.10 Education Facilities
8.3.1.11 Maternity and Childcare
8.3.1.12 Dungarpur Reelka Infrastructure Matrix
8.4 Results and Discussion
8.4.1 Solid Waste Management
8.4.2 Kill Waste
8.4.3 Drinking Water
8.4.4 Drainage
8.4.5 Rainwater Harvesting
8.4.6 Sewage
8.4.7 Solar Street Light
8.4.8 Solar Energy
8.4.9 Biogas Plant
8.4.10 Smart Agriculture
8.4.11 Organic Farming
8.4.12 Farming
8.4.13 Poultry Farming
8.4.14 Fish Farming
8.4.15 Ayurvedic Farming
8.4.16 Smart Dairy
8.4.17 Food Processing Center
8.4.18 Handicraft
8.4.19 Grain Storage
8.4.20 Plantation
8.4.21 Smart Healthcare
8.4.22 Animal Clinic
8.4.23 Smart Education
8.4.24 Village Market
8.5 Conclusion
References
9. Varanasi’s Land Mosaic: A Geospatial Analysis for Peri-Urban Area Planning and Management
Nitish Kumar Singh, Vijay Kumar Baraik and Mahendra Singh Nathawat
9.1 Introduction
9.2 Description of Study Area, Data Source, and Methods
9.2.1 Study Area
9.2.2 Data Source
9.2.3 Method
9.3 Results and Discussion
9.3.1 Accuracy Assessment
9.3.2 Dynamics of Agricultural Land
9.3.3 Dynamics of Built-Up Land
9.3.3.1 High-Density Built-Up Land
9.3.3.2 Medium-Density Built-Up Land
9.3.3.3 Low-Density Built-Up Land
9.3.3.4 Dispersed Built-Up Land
9.3.4 Dynamics of Vacant/Open Land
9.3.5 Dynamics of Vegetation Cover
9.3.6 Dynamics of Wasteland-Riverine Sandy Area
9.3.7 Dynamics of Water Body
9.4 Conclusion
References
10. Human Resource Influences on Online Shopping Behavior: Factors, Preferences, and Satisfaction Among Consumers in North Bengal, India
Subham Dey Sarkar, Sushmita Singh, Anuusua Poddar, Tuhin Dey Roy, Pranoy Dey and Arindam Basak
Introduction
Influences of Human Resource on Online Shopping
Behavior
Database and Methodology
Factor Analysis
Importance-Performance Analysis
Result
Demographic Profile of Online Shopping Adopters and Non-Adopters
Factors of Using Online Shopping
Consumer Satisfaction on Online Shopping Attributes
Keep Up the Good Work (High Importance, High Performance)
Potential Overkill (Low Importance, High Performance)
Low Priority (Low Importance, Low Performance)
Concentrate Here (High Importance, Low Performance)
Discussion
Conclusion
References
11. Tourism and Protected Areas in India—A Symbiotic Relationship
Sagar Sood, Kesar Chand, Aditi Kohli, Shruti Kanga, Suraj Kumar Singh and Gowhar Meraj
Introduction
Methodology
What is a Protected Area (PA)?
Status of PAs in India
Growth of PAs in India
Tourism and PAs in India
The Tourists
Local Communities
Constitutional and Legislative Framework with respect to Tourism Management in PAs of India
Constitutional Framework for PAs in India
Legislative Framework
Conclusion
References
12. Diatoms from Indian Himalaya (Renuka Lake) Responses to 20th Century Global Warming and Climate Change
Pranaya Diwate, Narendra Kumar Meena, Sundeep Pandita, Khayingshing Luirei, Sumedh Humane and Ravi Bhushan
12.1 Introduction
12.2 Study Area
12.3 Material and Methods
12.3.1 Sampling and Diatom Analysis
12.3.2 Chronology
12.3.3 Diatom
12.3.4 Grain Size
12.3.5 Global Linkage
12.4 Results
12.4.1 137Cs Isotope, 210Pb Isotope
12.4.2 Diatoms and Grain Size
12.4.3 Classification and Quantification of Diatoms and Chrysophycean Cysts
12.5 Discussion
12.5.1 Temporal Variation in Diatoms and its Ecological Implications
12.5.2 Traces of 20th Century Global Warming in the Himalayan Region
12.6 Conclusions
Acknowledgments
References
13. Beas Basin Snow Area Health Monitoring Utilizing Remote Sensing with Elevation Zones and Aspect
Roy K., Kant C. and Meena R.S.
13.1 Introduction
13.2 Materials and Methods
13.2.1 Study Area and Data Source
13.2.2 Data Collection
13.2.3 Selection of Input Parameters and Method
13.2.4 Topographical Factors
13.2.5 Estimation of Snow Cover Area Using NDSI
13.2.6 Rate of Change of SCA with Elevation
13.3 Results and Discussions
13.3.1 SCA Variation with Elevation Bands
13.4 Conclusions
Acknowledgments
References
14. Evaluation of Groundwater Potential Zones in Godavari Sub‑Basin Using Analytical Hierarchy Process (AHP) and GIS
Manoj Pawar, Pavankumar Giri, Pranali Kathe and Pranaya Diwate
14.1 Introduction
14.2 Study Area and Location
14.3 Material and Methodology
14.4 Results and Discussion
14.4.1 Slope
14.4.2 Geomorphology
14.4.3 Drainage Density
14.4.4 Lineament Density
14.4.5 Integration
14.5 Conclusion
References
15. Analyzing the Trend of LULC Change Over Five Decades in Dhanbad District, Jharkhand (India) Using Geospatial Techniques
Gaurav Chakrabarty, M.S. Nathawat and Suman Sinha
15.1 Introduction
15.2 Materials and Methods
15.2.1 Study Area
15.2.1.1 Geology
15.2.1.2 Soil
15.2.1.3 Climate
15.2.2 Data Used
15.2.3 Methodology
15.2.4 Trend Analysis
15.2.5 Accuracy Assessment
15.3 Results and Discussion
15.3.1 NDVI Classification
15.3.2 Land Use/Land Cover Status
15.3.3 Change Assessment
15.3.4 Trend Analysis
15.3.5 Accuracy Assessment
15.3.6 Findings and Comparison of Trends with Published Literature
15.4 Limitations and Future Scope
15.5 Conclusion
Acknowledgments
References
16. Assessing Land Susceptibility to Degradation and Sustainability Challenges for Siddharthnagar District, Uttar Pradesh
Rajesh Kumar Abhay, Shweta Rani and Satish Kumar Saini
16.1 Introduction
16.2 Material and Methods
16.2.1 Geographical Profile of the Study Area
16.2.2 Data Source and Research Methodology
16.2.2.1 Data Sources and Selected Indicators
16.3 Results and Discussion
16.3.1 Rainfall Pattern
16.3.2 Proximity to River
16.3.3 Soil Erosion
16.3.4 Drainage Density
16.3.5 Stream Frequency
16.3.6 Land Use/Land Cover
16.3.7 Cropping Intensity
16.4 Spatial Disparities in Land Susceptibility to Degradation
16.4.1 Land Degradation and Sustainability Challenges
16.5 Conclusion
Acknowledgments
References
17. Examining Socio-Economic Realities and Challenges in West Bengal’s Labor Force: A Case Study
Arindam Mondal, Naina Sambher and D.D. Sharma
17.1 Introduction
17.2 Review of Literature
17.3 Aims and Objectives
17.4 Study Area
17.5 Data Source and Methodology
17.6 Analysis and Discussions
17.7 Conclusions
Acknowledgments
Declaration of Conflicting Interests
Funding
References
18. Reviving the Spiritual Heartland: Enhancing Cultural Tourism in Kushinagar Through SWOT Analysis
Ankit Singh and Anjali Shukla
18.1 Introduction
18.2 Study Area
18.3 Objectives
18.4 Methodology
18.5 Results and Discussion
18.5.1 Major Cultural Places in Kushinagar District
18.5.1.1 Mahaparinirvana Temple
18.5.1.2 Mahaparinirvana or Nirvana Stupa
18.5.1.3 Matha Kuwara Shrine
18.5.1.4 Ramabhar Stupa
18.5.1.5 Pava, Where the Buddha had his Last Meal
18.5.1.5.1 Buddhist Museum
18.5.1.5.2 Stupa of the Mallas of Pava
18.5.1.5.3 Pava and Jain Religion
18.5.1.6 Buddhist Museum
18.5.1.7 SWOT Analysis of Cultural Tourism in Kushinagar District
18.6 Conclusion and Recommendations
References
Index
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