Assessment of Remote Sensing Techniques Applicability for Beach Morphology Mapping: A Case Study of Hvar Island, Central Adriatic, Croatia

被引：4

作者：

Micunovic, Marin ^{[1
]}

Faivre, Sanja ^{[1
]}

Gasparovic, Mateo ^{[2
]}

机构：

[1] Univ Zagreb, Fac Sci, Dept Geog, Marulicev Trg 19-2, Zagreb 10000, Croatia

[2] Univ Zagreb, Fac Geodesy, Kaciceva 26, Zagreb 10000, Croatia

来源：

JOURNAL OF MARINE SCIENCE AND ENGINEERING | 2021年 / 9卷 / 12期

关键词：

beach; remote sensing; accuracy; coastal geomorphology; Google Earth; UAV; Croatia; Adriatic; Hvar; UNMANNED AERIAL VEHICLES; LAND-COVER CHANGES; FROM-MOTION PHOTOGRAMMETRY; AEOLIAN SAND DUNES; COASTLINE CHANGE; LATE HOLOCENE; KRK ISLAND; UAV; AREA; EVENTS;

D O I：

10.3390/jmse9121407

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

This study investigates the quality and accuracy of remote sensing data in beach surveys based on three different data sources covering a 10-year period (2011-2021). Orthophotos from State Geodetic Administration Geoportal and satellite imagery from Google Earth were compared with orthophotos generated from UAV using ArcGIS Pro and Drone2Map. The beach area and length of 20 beaches on the island of Hvar were measured using each data source from different years. The average deviation for beach area (-2.3 to 5.6%) and length (-1 to 2.7%) was determined (without outliers). This study confirms that linear feature measurement is more accurate than polygon-based measurement. Hence, smaller beach areas were associated with higher errors. Furthermore, it was observed that morphological complexity of the beach may also affect the measurement accuracy. This work showed that different remote sensing sources could be used for relatively accurate beach surveys, as there is no statistically significant difference between the calculated errors. However, special care should always be addressed to the definition of errors.

引用

页数：22

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