Geo-Spatial Analysis in Hydrology
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 h...
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| Format: | Online |
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| Idioma: | anglès |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Accés en línia: | ONIX_20210501_9783039369805_815 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-69069 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-690692024-03-28T03:31:34Z Geo-Spatial Analysis in Hydrology Zhou, Qiming Li, Jianfeng 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography 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. 2021-05-01T15:40:25Z 2021-05-01T15:40:25Z 2020 book ONIX_20210501_9783039369805_815 9783039369805 9783039369812 https://directory.doabooks.org/handle/20.500.12854/69069 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2838 https://mdpi.com/books/pdfview/book/2838 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-981-2 10.3390/books978-3-03936-981-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039369805 9783039369812 124 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Geo-Spatial Analysis in Hydrology |
| title | Geo-Spatial Analysis in Hydrology |
| title_full | Geo-Spatial Analysis in Hydrology |
| title_fullStr | Geo-Spatial Analysis in Hydrology |
| title_full_unstemmed | Geo-Spatial Analysis in Hydrology |
| title_short | Geo-Spatial Analysis in Hydrology |
| title_sort | geo spatial analysis in hydrology |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | ONIX_20210501_9783039369805_815 |