Digital Elevation Models for Environmental Studies

Erscheinungsjahr 2025
ISBN: 978-3-032-04522-5
Verlag: Springer

Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm

This book offers a comprehensive examination of Digital Elevation Models (DEMs) and their applications in environmental analysis, combining foundational concepts with practical methodologies. It introduces key principles of geoprocessing and GIS, provides an in-depth overview of global DEMs and their limitations, and systematically explores techniques for terrain characterization, flow direction and drainage network extraction, basin delineation, flow path analysis, and inundation mapping for applications such as reservoir planning. Three dedicated chapters on topographic indices bridge theory and practice in hydrology, ecology, and wind exposure studies. The final chapter addresses the critical role of error and uncertainty in DEM processing, emphasizing quality assessment in hydrological modeling. Richly illustrated and grounded in current research, this resource equips students and professionals to effectively integrate DEMs into environmental studies.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Rolim da Paz, Adriano

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Chemische Verfahrenstechnik

Inhaltsverzeichnis

Introduction.- Geographic data.- Basic operations with rasters.- DEM: concepts, data sources and preparation.- Basic characterisation of the relief.- Flow directions.- Drainage network.- Watershed.- Lake formed by constructing a reservoir.- Quality, uncertainties and errors associated with DEM processing.

Über Autor(innen)

Adriano Paz  is an Associate Professor in the Department of Civil and Environmental Engineering at the Federal University of Paraíba (UFPB), Brazil. His research focuses on hydrologic modeling, Digital Elevation Models, GIS applications in water resources, urban drainage, and environmental monitoring, with a particular emphasis on developing methods and algorithms for terrain data processing. He has received notable recognition, including the ASCE-EWRI Best Case Study Award and the Outstanding Reviewer Award from the  , and actively contributes as a reviewer for leading journals in the field.