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Resolving the Broccoli Problem: Identifying Optimal Computational Algorithms for the Accuracy Assessment of Tree Delineations from Remotely-sensed Data

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Publication date19/04/2018
Number of pages6
<mark>Original language</mark>English
EventGISRUK 2018: 26th GIScience Research UK Conference, University of Leicester - Leicester University, Leicester, United Kingdom
Duration: 17/04/201820/04/2018


ConferenceGISRUK 2018
Country/TerritoryUnited Kingdom
Internet address


For many different investigative purposes, trees and forests are aerially scanned using light detection and ranging (LiDAR). Often, this also requires the manual measurement of ground reference (GR) plots within the LiDAR scan. Upon analysis, there is regularly a mismatch between the alignment of GR and LiDAR tree locations, crown areas and tree heights. This anomaly is frequently overlooked and under-reported in the current literature. This study investigates the suitability of match pairing algorithms for the quantification of misalignment errors between two datasets representing GR and LiDAR data, and recommends an algorithm for accurately quantifying match-pairing differences.