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Open AccessArticle

The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment

1
Department of Marine Sciences, University of the Aegean, 811 00 Mytilene, Greece
2
Department of Geography, University of the Aegean, 811 00 Mytilene, Greece
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 18; https://doi.org/10.3390/ijgi10010018
Received: 21 November 2020 / Revised: 29 December 2020 / Accepted: 2 January 2021 / Published: 6 January 2021
Marine conservation and management require detailed and accurate habitat mapping, which is usually produced by collecting data using remote sensing methods. In recent years, unmanned aerial systems (UAS) are used for marine data acquisition, as they provide detailed and reliable information through very high-resolution orthophoto-maps. However, as for all remotely sensed data, it is important to study and understand the accuracy and reliability of the produced maps. In this study, the effect of different environmental conditions on the quality of UAS orthophoto-maps was examined through a positional and thematic accuracy assessment. Selected objects on the orthophoto-maps were also assessed as to their position, shape, and extent. The accuracy assessment results showed significant errors in the different maps and objects. The accuracy of the classified images varied between 2.1% and 27%. Seagrasses were under-classified, while the mixed substrate class was overclassified when environmental conditions were not optimal. The highest misclassifications were caused due to sunglint presence in combination with a rough sea-surface. A change detection workflow resulted in detecting misclassifications of up to 45%, on orthophoto-maps that had been generated under non-optimal environmental conditions. The results confirmed the importance of optimal conditions for the acquisition of reliable marine information using UAS. View Full-Text
Keywords: UAS; UAS imagery; classification accuracy; accuracy assessment; change detection; remote sensing UAS; UAS imagery; classification accuracy; accuracy assessment; change detection; remote sensing
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MDPI and ACS Style

Doukari, M.; Katsanevakis, S.; Soulakellis, N.; Topouzelis, K. The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment. ISPRS Int. J. Geo-Inf. 2021, 10, 18.

AMA Style

Doukari M, Katsanevakis S, Soulakellis N, Topouzelis K. The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment. ISPRS International Journal of Geo-Information. 2021; 10(1):18.

Chicago/Turabian Style

Doukari, Michaela; Katsanevakis, Stelios; Soulakellis, Nikolaos; Topouzelis, Konstantinos. 2021. "The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment" ISPRS Int. J. Geo-Inf. 10, no. 1: 18.

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