Geo-Spatial Analysis in Hydrology

ISBN 10: 3039369806 / ISBN 13: 9783039369805

Published by MDPI AG, 2020

About this Item

Geo-Spatial Analysis in Hydrology | Buch | Gebunden | Englisch | 2020 | MDPI AG | EAN 9783039369805 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 131154715

Bibliographic Details

• Title: Geo-Spatial Analysis in Hydrology
• Publisher: MDPI AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039369806
• ISBN 13: 9783039369805
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 13D millimeters 250 millimeters width by 175 millimeters height by 13 millimeters depth
• Weight: 510 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.