Abstract

The aim of this work is to evaluate UAV photogrammetric and GNSS techniques to investigate coastal zone morphological changes due to both natural and anthropogenic factors. Monitoring morphological beach change and coastline evolution trends is necessary to plan efficient maintenance work, sand refill and engineering structures to avoid coastal drift. The test area is located on the Northern Adriatic coast, a few kilometres from Ravenna (Italy). Three multi-temporal UAV surveys were performed using UAVs supported by GCPs, and Post Processed Kinematic (PPK) surveys were carried out to produce three-dimensional models to be used for comparison and validation. The statistical method based on Crossover Error Analysis was used to assess the empirical accuracy of the PPK surveys. GNSS surveys were then adopted to evaluate the accuracy of the 2019 photogrammetric DTMs. A multi-temporal analysis was carried out by gathering LiDAR dataset (2013) provided by the “Ministero dell’Ambiente e della Tutela del Territorio e del Mare” (MATTM), 1:5000 Regional Technical Cartography (CTR, 1998; DBTR 2013), and 1:5000 AGEA orthophotos (2008, 2011). The digitization of shoreline position on multi-temporal orthophotos and maps, together with DTM comparison, permitted historical coastal changes to be highlighted.

Highlights

  • The morphology of coastal areas is influenced by both natural phenomena and anthropic activities

  • Three multi-temporal unmanned aerial vehicle (UAV) surveys were performed using UAVs supported by ground control points (GCPs), and Post Processed Kinematic (PPK) surveys were carried out to produce three-dimensional models to be used for comparison and validation

  • Beach morphology and long-term shoreline changes derive from the sum of natural phenomena and anthropic activities

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Summary

Introduction

The morphology of coastal areas is influenced by both natural phenomena and anthropic activities. Due to the high mobility of the sand surface, for natural causes or following human intervention (e.g., for the protection of the beach touristic infrastructures during the winter), the level of significance of the comparison between two surveys of the beach surface can be quantified in ±10 cm vertically This precision threshold can be achieved, quickly and economically by using UAVs combined with image matching photogrammetric procedures [30,31,32,33] over small-medium sized areas, making this combination an efficient tool for high resolution investigation for coastal management. NToortthheanNdoSrtohutahnodf tShoeustthudoyf athreeastthuedreyaarreedaettahcehreedabrereadkewtaactheerds pberrepakenwdaitceurlsarpteorpthenedcoicausltawr htoilethoeffcsohaosrte,wsehmilei-souffbsmhoerreg,esdembair-rsiuebrsmaerregpeadrablalerlriteorsthaerecopaasrtapllreoltetcotitnhge tchoeasbtepacroht.ecting the beach

Photogrammetric Analysis
Empirical Accuracy Assessment of PPK and Photogrammetric Surveys
Discussion and Conclusions
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