Geo-Spatial Analysis in Hydrology

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: 3D simulation; basin characteristic extraction; Canadian Hydrographic Service; classification; crop water requirement; curve number; Earth Sciences, Geography, Environment, Planning; empirical; evapotranspiration; flash flood; flood risk; geo-spatial analysis; Geography; Google Earth Engine (GEE); HEC-RAS; hydrodynamic model; hydrological modelling; hydrology; level of confidence; normalized difference vegetation index; Pakistan; PCSWMM; photogrammetry; plains area; rainfall-runoff model; RapidEye; red edge; Reference, Information and Interdisciplinary subjects; reflectance-based crop coefficients; remote sensing; Research and information: general; Satellite-Derived Bathymetry; scaling issue; Sentinel-2A; spatio-temporal computation framework; spatio-temporal GIS; Taihu Basin; water quality; watershed division
• ISBN: 3039369814; 9783039369805; 3039369806; 9783039369812
• DOI: 10.3390/books978-3-03936-981-2

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.