Geo-Spatial Analysis in Hydrology
Zhou, Qiming
Geo-Spatial Analysis in Hydrology - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (124 p.)
Open Access
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.
Creative Commons
English
books978-3-03936-981-2 9783039369805 9783039369812
10.3390/books978-3-03936-981-2 doi
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
Geo-Spatial Analysis in Hydrology - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (124 p.)
Open Access
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.
Creative Commons
English
books978-3-03936-981-2 9783039369805 9783039369812
10.3390/books978-3-03936-981-2 doi
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