TY  - GEN
AU  - Zhou,Qiming
AU  - Li,Jianfeng
AU  - Zhou,Qiming
AU  - Li,Jianfeng
TI  - Geo-Spatial Analysis in Hydrology
SN  - books978-3-03936-981-2
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - Geography
KW  - Canadian Hydrographic Service
KW  - Satellite-Derived Bathymetry
KW  - empirical
KW  - classification
KW  - photogrammetry
KW  - level of confidence
KW  - spatio-temporal GIS
KW  - hydrodynamic model
KW  - spatio-temporal computation framework
KW  - flood risk
KW  - 3D simulation
KW  - watershed division
KW  - Sentinel-2A
KW  - Google Earth Engine (GEE)
KW  - Taihu Basin
KW  - hydrology
KW  - plains area
KW  - RapidEye
KW  - water quality
KW  - red edge
KW  - remote sensing
KW  - flash flood
KW  - PCSWMM
KW  - curve number
KW  - rainfall-runoff model
KW  - HEC-RAS
KW  - Pakistan
KW  - crop water requirement
KW  - reflectance-based crop coefficients
KW  - normalized difference vegetation index
KW  - evapotranspiration
KW  - geo-spatial analysis
KW  - scaling issue
KW  - basin characteristic extraction
KW  - hydrological modelling
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/2838
UR  - https://directory.doabooks.org/handle/20.500.12854/69069
ER  -