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A Methodology for Processing Raw Lidar Data to Support Urban Flood Modelling Framework

augmentation of an existing Progressive Morphological filtering algorithm for processing raw LiDAR data to support a 1D/2D urban flood modelling;

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Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

can nowadays be obtained from aerial LiDAR surveys, such top-view LiDAR data still have difficulties to represent some key components of urban;

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Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

can nowadays be obtained from aerial LiDAR surveys, such top-view LiDAR data still have difficulties to represent some key components of urban;

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Modelling Human-Flood Interactions

and a methodology to build holistic models for FRM, and to assess how coupled human-flood interaction models support FRM policy analysis and;

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Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions

characteristics in urban areas. Detailed predictions of flood flows in urban areas require the use of high resolution topographic data. However, due to;

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Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions

characteristics in urban areas. Detailed predictions of flood flows in urban areas require the use of high resolution topographic data. However, due to;

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LiDAR Remote Sensing and Applications

authors' research projects Before every project in the book, a link is provided for users to download data;

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Topographic Laser Ranging and Scanning

Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data;

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Mobility Data Driven Urban Traffic Monitoring

This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based;

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Towards Sustainable Urban Transportation

-induced urban environmental quality covers the whole process from the collection of raw data, the storage and retrieval of this data for;

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Low-cost space-borne data for inundation modelling: topography, flood extent and water level

explicitly considering major sources of uncertainty within a Monte Carlo framework. To generalize our findings, three river reaches with various;

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Low-cost space-borne data for inundation modelling: topography, flood extent and water level

explicitly considering major sources of uncertainty within a Monte Carlo framework. To generalize our findings, three river reaches with various;

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Open Source GIS

support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical;

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Open Source GIS

support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical;

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Big Data

as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data;

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Urban High-Resolution Remote Sensing

With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques;

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Advances in Airborne Lidar Systems and Data Processing

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Risk and Uncertainty Analysis for Sustainable Urban Water Systems

novel framework for risk and uncertainty analysis, a hybrid approach of uncertainty analysis, and fuzzy set theory based multi-criteria analysis;

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Heterogeneous Spatial Data

analyze the massive amount of geospatial data in order to support better management of societal challenges through more timely and better decision;

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Decision Support in Organizational Transformation

metaphorically as a data processing machine. Mental processes are associated with the manipulation of symbols aOO human communication to signal;

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Urban Flood Management

resilience and urban flood management can be found at www.floodresiliencegroup.org For a preview, please go to http://issuu.com/crcpress/docs;

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Urban Water Resources

of sustainable water resources management strategies is inevitable. An integrated urban water resources management strategy is the key to maintain;

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Urban Water Resources

of sustainable water resources management strategies is inevitable. An integrated urban water resources management strategy is the key to maintain;

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Uncertainty Modelling and Quality Control for Spatial Data

Eliminating systematic error in the analytical results of GIS applications A data quality perspective for GIS function workflow design;

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Uncertainty Modelling and Quality Control for Spatial Data

Eliminating systematic error in the analytical results of GIS applications A data quality perspective for GIS function workflow design;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

. neural networks) are used to encapsulate the results of Monte Carlo experiments in a predictive model that is able to estimate uncertainty for;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

. neural networks) are used to encapsulate the results of Monte Carlo experiments in a predictive model that is able to estimate uncertainty for;

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