Abstract

Abstract. The University of North Georgia (UNG) has begun to evaluate both fixed and rotary UAS platforms across the departments to evaluate their potential for furthering both student learning experiences and undergraduate research. A research project of the Institute for Spatial Analysis (IESA) at UNG has acquired the fixed wing eBee UAS and is currently piloting its integration into the undergraduate geospatial science curriculum. Limited very low altitude, line of sight calibration runs within areas of our campus have help us understand the capabilities that this technology brings to learning and research opportunities at UNG. In our pilot area of study on the UNG Gainesville Campus, we will collect overlapping imagery and generate 3-D models. These models will be compared with models based on LiDAR data. Geographic Object Based Image Analysis (GEOBIA) methods are essential to the analysis of voluminous high resolution UAS data and the associated computational and regulatory issues are discussed. Several future interdisciplinary projects are envisaged with the eBee UAS and this project helps establish their viability.

Highlights

  • The advent of increasingly sophisticated and affordable Unmanned Aerial Systems (UAS) is rapidly opening up novel possibilities for high spatial resolution remote sensing

  • This gives impetus to the further implementation of Geographic Object Based Image Analysis (GEOBIA) techniques which are essential for the analysis of both the spectral and spatial data collected by a UAS

  • The 2014 eBee Digital Surface Model (DSM) was subtracted from the 2010 aerial LiDAR In order to ascertain the differences between the elevation contained in the two DSM rasters, the 2014 eBee DSM was subtracted from the coarser 2010 aerial LiDAR data

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Summary

INTRODUCTION

The advent of increasingly sophisticated and affordable Unmanned Aerial Systems (UAS) is rapidly opening up novel possibilities for high spatial resolution remote sensing This capability is rapidly opening the door to a whole host of urban, environmental and engineering high resolution mapping applications. The FAA will have a finalized regulatory framework in place by late 2015 and this holds the promise of ushering in a new era of UAS acquired remotely sensed data and their applications. This gives impetus to the further implementation of Geographic Object Based Image Analysis (GEOBIA) techniques which are essential for the analysis of both the spectral and spatial data collected by a UAS

UAS – The eBee UAS by Sensefly
The Study Area
COLLECTING AND ANALYZING THE DATA
Flight Planning
Data Collection
Data Processing
Data Analysis
GEOBIA Based Land Cover Classification
CONCLUSIONS

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