Shoreline delineation service: using an earth observation data cube and sentinel 2 images for coastal monitoring

Abstract

Coastal management has a critical role in estimating the coastal environmental and socio-economic dynamics, providing various vital regional and local services. Remote sensing earth observations are essential for detecting and monitoring shorelines. UAVs combined with satellite remote sensing address the shoreline delineation problems to detect the shoreline and identify the shoreline zones. The paper presents a shoreline delineation service utilizing UAV and Sentinel 2 images within a Data Cube environment for monitoring coastal areas. The BandRatio, McFeeters, MNDWI1, and MNDWI2 algorithms have been implemented in the service to analyze the accuracy of each algorithm by comparing satellite and UAVderived shorelines. As a case study, the Lake Sevan shoreline delineation, as one of the most incredible freshwater lakes in Eurasia, has been studied using the service. MNDWI2 algorithm showed the best accuracy for Lake Sevan shoreline delineation.

Scalable Data Processing Platform for Earth Observation Data Repositories

“…The researchers [13] use ODC to monitor changes such as deforestation, urbanization, and coast evolution. Similar services are available in the Armenian ODC, which provides the air temperature forecast service validated for the Ararat Valley [16] and a shoreline delineation service with the case study for the Lake Sevan [24]. The works mentioned above use the ODC without considering KPIs 1, 2, and 3.…”

“…The latest provides satellite images from Sentinel-2 in COG format with STAC API. The data from Armenian DC stored from several satellites, such as Landsat and Sentinel, is being used for monitoring various environmental problems [7,16,24]. The WCS is installed on the top of the Armenian DC using the datacube-ows package.…”

Data Pesawat Udara Tanpa Awak Untuk Pendukung Analisis Dinamika Pesisir dan Erosi Pantai

“…Data foto udara dan digital elevation model (DEM) yang dihasilkan dari pesawat tanpa awak mampu menyajikan berbagai parameter seperti morofologi dan penggunaan lahan secara detail dan aktual. Kombinasi dari pemanfaatan data foto udara dan citra satelit resolusi tinggi (CSRT) kini juga banyak dimanfaatkan untuk pemantauan dinamika pesisir (Angnuureng et al, 2022;Astsatryan et al, 2022;H Fatchurohman & Handayani, 2022;Jaud et al, 2019;Nativí-Merchán et al, 2021;Siyal et al, 2022).…”

Selected methods for determining inconclusively identifiable shorelines of watercourses and lakes

“…Shorelines are becoming increasingly important in citizens' legal awareness, which is reflected by the fact that they are more frequently established in formal and administrative processes (Kucharzak and Kowalski, 2009). Capturing and understanding the shoreline change trends in a coastal management context is critical for a range of scientific, engineering, and management questions (Astsatryan et al, 2022). The stability of shorelines is ceaselessly beneath threat due to changes to the natural environment caused by the wind, waves, tides, and currents, and also because of human intervention that results in changes in the dynamic equilibrium prevalent at a given coastal stretch (Kaamin et al, 2020).…”

“…Environmental studies use different UAVs and different sensors in terms of spectral and spatial resolution, depending on the relevant requirements and expectations (Carrivick and Smith, 2018). Airborne, satellite, and UAV platforms are commonly used to study shoreline delineation for different applications and study areas using various approaches (Gonçalves et al, 2020;Merlino et al, 2020;Astsatryan et al, 2022). Surveys carried out with UAVs are an intermediate element between in-situ measurements and satellite remote sensing for integrated, environmental measurements of coastal areas (Warren et al, 2015;Xing et al, 2019).…”