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Book
Geo-Spatial Analysis in Hydrology
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Geo-spatial analysis has become an essential component of hydrological studies to process and examine geo-spatial data such as hydrological variables (e.g., precipitation and discharge) and basin characteristics (e.g., DEM and land use land cover). The advancement of the data acquisition technique helps accumulate geo-spatial data with more extensive spatial coverage than traditional in-situ observations. The development of geo-spatial analytic methods is beneficial for the processing and analysis of multi-source data in a more efficient and reliable way for a variety of research and practical issues in hydrology. This book is a collection of the articles of a published Special Issue Geo-Spatial Analysis in Hydrology in the journal ISPRS International Journal of Geo-Information. The topics of the articles range from the improvement of geo-spatial analytic methods to the applications of geo-spatial analysis in emerging hydrological issues. The results of these articles show that traditional hydrological/hydraulic models coupled with geo-spatial techniques are a way to make streamflow simulations more efficient and reliable for flood-related decision making. Geo-spatial analysis based on more advanced methods and data is a reliable resolution to obtain high-resolution information for hydrological studies at fine spatial scale.

Keywords

Research & information: general --- Geography --- Canadian Hydrographic Service --- Satellite-Derived Bathymetry --- empirical --- classification --- photogrammetry --- level of confidence --- spatio-temporal GIS --- hydrodynamic model --- spatio-temporal computation framework --- flood risk --- 3D simulation --- watershed division --- Sentinel-2A --- Google Earth Engine (GEE) --- Taihu Basin --- hydrology --- plains area --- RapidEye --- water quality --- red edge --- remote sensing --- flash flood --- PCSWMM --- curve number --- rainfall-runoff model --- HEC-RAS --- Pakistan --- crop water requirement --- reflectance-based crop coefficients --- normalized difference vegetation index --- evapotranspiration --- geo-spatial analysis --- scaling issue --- basin characteristic extraction --- hydrological modelling --- Canadian Hydrographic Service --- Satellite-Derived Bathymetry --- empirical --- classification --- photogrammetry --- level of confidence --- spatio-temporal GIS --- hydrodynamic model --- spatio-temporal computation framework --- flood risk --- 3D simulation --- watershed division --- Sentinel-2A --- Google Earth Engine (GEE) --- Taihu Basin --- hydrology --- plains area --- RapidEye --- water quality --- red edge --- remote sensing --- flash flood --- PCSWMM --- curve number --- rainfall-runoff model --- HEC-RAS --- Pakistan --- crop water requirement --- reflectance-based crop coefficients --- normalized difference vegetation index --- evapotranspiration --- geo-spatial analysis --- scaling issue --- basin characteristic extraction --- hydrological modelling


Book
Geo-Spatial Analysis in Hydrology
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Geo-spatial analysis has become an essential component of hydrological studies to process and examine geo-spatial data such as hydrological variables (e.g., precipitation and discharge) and basin characteristics (e.g., DEM and land use land cover). The advancement of the data acquisition technique helps accumulate geo-spatial data with more extensive spatial coverage than traditional in-situ observations. The development of geo-spatial analytic methods is beneficial for the processing and analysis of multi-source data in a more efficient and reliable way for a variety of research and practical issues in hydrology. This book is a collection of the articles of a published Special Issue Geo-Spatial Analysis in Hydrology in the journal ISPRS International Journal of Geo-Information. The topics of the articles range from the improvement of geo-spatial analytic methods to the applications of geo-spatial analysis in emerging hydrological issues. The results of these articles show that traditional hydrological/hydraulic models coupled with geo-spatial techniques are a way to make streamflow simulations more efficient and reliable for flood-related decision making. Geo-spatial analysis based on more advanced methods and data is a reliable resolution to obtain high-resolution information for hydrological studies at fine spatial scale.

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