Bappaditya Biswas (46 results)

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Hardcover. Condition: new. Hardcover. This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardcover. Condition: new. Hardcover. This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas.…

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.…

Hardcover. Condition: Brand New. 597 pages. 6.30x1.50x9.49 inches. In Stock.

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.…

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Hardcover. Condition: Brand New. 446 pages. 6.30x1.10x9.49 inches. In Stock.

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Originating nearly a century ago, India s ceramic industry has transformed into a global contender through modernization and innovation. While some states flourish in meeting rising global demands, West Bengal, despite its pottery heritage, faces challenges.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Self-help groups in India have their roots in the Self-Empower Women Association (SEWA), which Ella Bhatt founded in 1972 with the intention of increasing the income of low-income and independent women workers.Through SHG Bank Linkage Project (SBLP), NABARD and the Reserve Bank of India permitted SHGs to create savings bank accounts in banks. The study has given an overview about the accounting practices, as well as auditing procedures followed by the SHGs in West Bengal. The findings of the study offer strategic recommendations for SHGs to maintain the transparency of books of accounts and also ensures their better operations in the West Bengal.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Originating nearly a century ago, India's ceramic industry has transformed into a global contender through modernization and innovation. While some states flourish in meeting rising global demands, West Bengal, despite its pottery heritage, faces challenges in ceramic production. This study delves into the dynamics of West Bengal's ceramic industry. Through rigorous statistical analysis, the study identifies unique challenges and unveils growth potentials. The findings offer strategic recommendations for West Bengal's ceramic units to surmount obstacles and ensure sustainable business operations in the state.…

Condition: new. Questo è un articolo print on demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas. 581 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.