Geo-Spatial Analysis in Hydrology

• Άλλοι συγγραφείς: Zhou, Qiming (Επιμελητής έκδοσης), Li, Jianfeng (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
• Γλώσσα: Αγγλικά
• Έκδοση: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Θέματα: 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
• Διαθέσιμο Online: DOAB: download the publication; DOAB: description of the publication

Περίληψη

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.

Φυσική περιγραφή

1 electronic resource (124 p.)

ISBN

books978-3-03936-981-2
9783039369805
9783039369812

Πρόσβαση

Open Access