Geo-Environmental Hazards Using AI-Enabled Geospatial Techniques and Earth Observation Systems

• Autore: Choudhury Tanupriya
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (318 pages)
• Altri autori: KoleyBappaditya NathAnindita UmJung-Sup PatidarAtul Kumar
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- An Introduction to Artificial Intelligence and Its Applications Towards Remote Sensing -- 1 Introduction -- 2 Machine Learning Algorithms -- 3 ML Applications in Remote Sensing -- 4 Deep Neural Network in Remote Sensing -- 5 Conclusion and Future Work -- References -- GIS and Remote Sensing Application for Vegetation Mapping -- 1 Introduction -- 2 Literature Review -- 3 Methodology Used -- 4 GIS and Remote Sensing Application -- 4.1 Agriculture -- 4.2 Natural Resource Management -- 4.3 Disaster Management -- 4.4 Urban Planning -- 4.5 Environmental Monitoring -- 4.6 Defense and Security -- 4.7 Climate Change -- 5 Various Ways GIS Can Be Used for Vegetation Mapping -- 6 Why Sensors Used for Vegetation Mapping -- 7 Case Study -- 8 Discussion of Case Study -- 9 Result and Discussion -- 10 Conclusion and Future Scope -- References -- Spatiotemporal Trends of Tropical Cyclones in Bay of Bengal Basin, India -- 1 Introduction -- 2 Characteristics of the Study Region -- 3 Material and Methods -- 3.1 Data Collection -- 3.2 Data Analysis -- 4 Result and Discussion -- 4.1 Spatiotemporal Distribution of Tropical Cyclones -- 4.1.1 Spatial Trend in Tropical Cyclone -- 4.1.2 Temporal Trend in Tropical Cyclone -- 5 Conclusions -- References -- Application of Geospatial Technologies and AHP Technique in the Identification of Soil Erosion-Prone Zones in the Rift Valley, Southern Ethiopia -- 1 Introduction -- 2 Materials and Methods -- 2.1 Description of the Study Area -- 2.2 Data Collection and Preparation of Nine Thematic Layers -- 2.3 Analytical Hierarchy Process (AHP) Method -- 3 Results and Discussions -- 3.1 Impact of Selected Nine Conditioning Thematic Layers on Soil Erosion -- 3.2 Soil Erosion-Prone Zone Identification -- 3.3 Result Validation -- 4 Conclusions -- References. ; Shoreline Changes Along Bhitarkanika Sanctuary, North Odisha Coast, India -- 1 Introduction -- 2 Study Area -- 3 Data and Methods -- 3.1 Data Acquisition -- 3.2 Preliminary Analysis -- 3.3 Shoreline Extraction -- 3.4 Shoreline Change Analysis (DSAS Model) -- 4 Results -- 4.1 Shoreline Changes -- 4.1.1 Short-Term Changes/Decadal Changes -- 4.1.2 Long-Term Changes -- 5 Conclusion -- References -- One-Dimensional Shoreline Evolution Modeling at Sea Turtle Nesting Ground Near the Rushikulya Estuary, Southern Odisha Coast, India -- 1 Introduction -- 2 Study Area -- 3 Data and Methods -- 3.1 Sediment Transport and Shoreline Evolution Modeling -- 4 Results and Discussion -- 4.1 Longshore Sediment Transport -- 4.2 Shoreline Evolution -- 5 Conclusion -- References -- Analysis of Sea Surface Temperature and Chlorophyll-a Concentration Along the Coastline of the Indian Peninsula Using Remote Sensing Data -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Theoretical Background -- 3.2 Data Acquisition -- 4 Results and Discussion -- 4.1 Preliminary Analysis -- 4.1.1 Sea Surface Temperature (SST) -- 4.2 Chlorophyll-a Concentration -- 4.3 Trend Analysis -- 4.4 Effect of the Pandemic -- 5 Conclusion -- References -- Landslide Susceptibility Mapping Through Hyperparameter Optimized Bagging and Boosting Ensembles: Case Study of NH-10, West Bengal, India -- 1 Introduction -- 1.1 Related Literature -- 2 Study Area -- 2.1 Geological Perspective -- 2.2 Landslide Inventory -- 3 Materials and Methodology -- 3.1 Causative Factors for Landslides -- 3.2 Applied Models -- 4 Results and Exhibits -- 4.1 Spatial Association Between the Causal Factors with the Model Predictions -- 4.2 Susceptibility Maps Prepared by the Proposed Models -- 4.3 Accuracy Assessment -- 5 Conclusion and Future Scope -- References -- Flash Flood Assessment in Hilly Regions -- 1 Introduction. ; 1.1 Background -- 1.2 Literature Review -- 1.3 Case Study -- 2 Methodology and Methods -- 2.1 Identification of Flood Assessment Parameters -- 2.2 Mapping of Flood Assessment Parameters -- 2.2.1 Rainfall -- 2.2.2 Morphometric Analysis -- 2.2.3 Elevation -- 2.2.4 Relative Relief -- 2.2.5 Slope -- 2.2.6 Soil -- 2.2.7 LULC -- 2.3 Results and Discussion -- 3 Conclusion -- References -- Mapping Flood Hazard in Marinduque, Philippines, Using Maximum Entropy Approach -- 1 Introduction -- 1.1 Floods -- 1.2 Flood Hazard Mapping -- 1.3 Study Site -- 1.4 Objectives -- 2 Methodology -- 2.1 Flood Event Data -- 2.2 Geo-Environmental Data -- 2.3 Maximum Entropy Modeling -- 3 Results and Discussion -- 3.1 MaxEnt Modeling -- 3.2 Flood Hazard Map -- 4 Conclusion -- References -- GIS Mapping and Groundwater Quality Assessment Near Solid Waste Dump Site -- 1 Introduction -- 2 Methodology -- 2.1 Study Area -- 2.2 Water Quality Parameters -- 2.3 GIS -- 3 Results -- 4 Discussion of Results -- 5 Conclusions -- References -- Assessment of Groundwater Potential Using an Integrated Approach of GIS, Fuzzy AHP, and Remote Sensing: A Case Study of Madurai City in India -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 Creation of Thematic Maps -- 3.2 Fuzzy AHP Approach to Calculate Feature Weights -- 3.3 Assessment of Groundwater Potential Zone (GWPZ) -- 3.4 Validation of Results -- 4 Results and Discussion -- 4.1 Slope -- 4.2 Curvature -- 4.3 Roughness -- 4.4 Drainage Density -- 4.5 Geology -- 4.6 Geomorphology -- 4.7 Land Use/Land Cover (LU/LC) -- 4.8 Soil -- 4.9 Lineament Density -- 4.10 Topographic Wetness Index -- 4.11 Groundwater Potential Zones by FAHP Method -- 4.12 Validation of Groundwater Potential Zones -- 5 Conclusion -- References -- Developing Sustainable Livelihood Index for the Coastal Belt of Indian Sundarbans -- 1 Introduction. ; 2 Characteristics of the Study Area -- 3 Data and Methodology -- 4 Construction of Sustainable Livelihood Index -- 5 Stepwise Regression Model -- 6 Results and Analysis -- 7 Concluding Remarks -- References -- A Geospatial Approach for the Development of Sustainable Watershed Management -- 1 Introduction -- 1.1 Study Area -- 2 Methodology -- 2.1 Data Collection -- 2.2 Database Creation -- 2.2.1 Spatial Database -- 2.2.2 Attribute Database -- 3 Results and Discussion -- 3.1 Elevation of the Study Area -- 3.2 Land Use/Land Cover of the Study Area -- 3.3 Structures of the Study Area -- 3.4 Electrical Resistivity of the Area -- 3.5 Geology of the Study Area -- 3.6 Velchal Watershed Developmental Map -- 4 Conclusions -- References -- An Efficient Image Compression Algorithm Using Neural Networks -- 1 Introduction -- 2 Methods -- 3 Feed-Forward Framework -- 4 Results -- 4.1 Description -- 5 Conclusion -- References -- Computer Vision-Based Autonomous Underwater Vehicle with Robotic Arm for Garbage Detection and Cleaning -- 1 Introduction -- 2 Background -- 2.1 Object Detection Using Deep Learning -- 2.2 Autonomous Underwater Vehicle (AUV) -- 3 Materials and Methods -- 3.1 Proposed System Architecture -- 3.2 Proposed System Design -- 3.3 Proposed System Components -- 4 Results and Discussion -- 5 Application and Future Work -- 5.1 Applications -- 5.2 Future Work -- 5.3 Challenges in Underwater Processing -- 6 Conclusions -- References -- Visual Media Super-Resolution Using Super-Resolution Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Architecture -- 3.1.1 The Architecture of Generator -- 3.1.2 Discriminator Architecture -- 3.2 Loss Function -- 3.3 Video Description -- 3.4 API -- 4 Analysis Framework -- 4.1 Generator -- 4.2 Discriminator -- 4.3 Video -- 4.4 API Flow -- 5 Results and Discussions -- 5.1 Dataset. ; 5.2 Training and Validation -- 5.3 Final Results (Figs. 7, 8 and 9) -- 5.4 End Product -- 5.5 Evaluation and Analysis -- 5.6 Qualitative Analysis -- 6 Conclusion -- References -- Index.
• Titolo autorizzato: Geo-Environmental Hazards Using AI-Enabled Geospatial Techniques and Earth Observation Systems
• ISBN: 9783031537639; 9783031537622
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910864190103321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Geographic Information Science Series