Téléchargez le livre : Digital Elevation Models for Environmental Studies

Digital Elevation Models for Environmental Studies



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Éditeur :

Springer


Paru le : 2025-12-25



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Description

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.
Pages
386 pages
Collection
n.c
Parution
2025-12-25
Marque
Springer
EAN papier
9783032045225
EAN PDF
9783032045232
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
34140 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
189,89 €
EAN EPUB
9783032045232
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
117811 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
189,89 €

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 Journal of Hydrologic Engineering, and actively contributes as a reviewer for leading journals in the field.

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