Earth Observation Applications To Landslide Mapping Monitoring And Modeling
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Earth Observation Applications to Landslide Mapping, Monitoring and Modeling
Earth Observation Applications to Landslide Mapping, Monitoring and Modelling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the applications of drone and satellite imagery for mapping landslides. Topics covered include the use of ultra-high aerial imagery, obtained with drones, for mapping and predicting landslide activity (like runoff, volume displacement, exposure to risk, etc.). Subjects related to EO data assimilations into landslide hazard prediction models are also included. The primary aim of this book is to advance the scientific understanding and application of technologies to address a variety of fields related to landslide mapping and monitoring.Because of the intensification of the catastrophic events in the last 20 years, landslide monitoring gained considerable interest from the geoscience community. This book will be beneficial for the postgraduates, PhD research scholars, professors and scientists, geospatial experts, modelers, oceanography scientists and conservation communities, environmental consultants, big data compilers, and computing experts. - Recent developments in landslide monitoring and mapping algorithms - Provides clear and detailed case studies and methods that can be easily replicated and implemented in landslide monitoring systems - Provides detailed methods for applying research to landslide monitoring and mapping
The Role of Geospatial Technologies in Landslide Hazard Assessment
Author: Sudhakar Dhondu Pardeshi
language: en
Publisher: CRC Press
Release Date: 2024-12-30
This book is designed to provide a detailed, methodological framework for landslide hazard assessment. The focus is on various dimensions of landslide hazard assessment, including the terminologies used in landslide hazard analysis and landslide inventory systems used globally and their relevance in generating a complete and reliable landslide database for further analysis, supported by global case studies. It includes an overview of the methodological developments in landslide hazard assessment and role of geospatial technologies in landslide studies. Features: Helps readers to understand the technical details of geospatial techniques applied in hazard management. Deals with the practicalities of how to recognise and classify unstable terrain. Covers recent advances in landslide estimation, particularly the automated means of landslide susceptibility estimation. Explores methodological frameworks of landslide hazard assessment. Illustrates case studies from the United States, Europe, and Asia, including demonstrations of different methodologies of landslide susceptibility zonation. This book is aimed at researchers, graduate students, and libraries in geotechnical and environmental engineering.
Object-Based Image Analysis
Author: Thomas Blaschke
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-08-09
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).