November-December 2018

GIM0618 cover

The November/December issue marks the end of the geospatial year at GIM International. We are concluding 2018 with a great variety of topics, ranging from the processing of photogrammetry and the classification of point clouds to 3D visualisations for support flood management and more. Also included in this edition are two articles on the application of UAVs, one on mapping a large copper mine and one focusing on spectral image mapping.

The cover image was provided by RIEGL.

Object-based Classification of Point Clouds

Object-based Classification of Point CloudsToday, the analysis of 3D point clouds acquired with topographic Lidar or photogrammetric systems has become an operational task for mapping and monitoring of infrastructure and environmental processes. Numerous applications require the identification and delineation of landscape objects and their properties. This article explores the potential of object-based classification of point clouds as an alternative to classification of individual points. Read on...

Flood Management

On-the-fly Decision Support in Flood ManagementThis article presents an integrated flood simulation and visualisation system that is able to provide answers to the questions of experts and stakeholders on the fly. It supports fast incorporation of new parameters through visual interfaces, immediate provision of simulation results, derivation and analysis of key indicators, and 3D visualisations that even non-experts can understand. Read on...

Insights from Intergeo 2018

Insights from Intergeo 2018Which opportunities will digitalisation really create for society? And is the UAV truly democratising the geospatial industry? These are just some of the questions that may have crossed the minds of visitors to Intergeo 2018 in Frankfurt. Here, we share some of the insights we gained into the geospatial future during the world’s largest event for geoinformation and geodesy. Read on...

Integrating Lidar Processing with Machine Learning

Monitoring 3D Urban GrowthAutomated measurement of the third dimension of urban growth is a crucial requirement for future urban planning and monitoring. Airborne Lidar is increasingly being used to produce regular time-based data over metropolitan areas. However, the current solutions ignore the specific needs of urban planners, are complicated to run and fail to address the problem of monitoring 3D urban growth over time at building scale. To address the current challenges, two possible solutions have been developed into an integrated procedure, as outlined in this article. Read on...

 
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