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Coastal Analyst System from Space Imagery Engine (CASSIE): Shoreline management module
被引:73
作者:
Almeida, Luis Pedro
[1
,2
]
de Oliveira, Israel Efraim
[3
]
Lyra, Rodrigo
[3
]
Scaranto Dazzi, Rudimar Luis
[3
]
Martins, Vinicius Gabriel
[3
]
da Fontoura Klein, Antonio Henrique
[4
]
机构:
[1] Univ Fed Rio Grande, Inst Oceanog, FURG, Campus Carreiros,Ave Italia,Km 8 Carreiros, BR-96203900 Rio Grande, RS, Brazil
[2] Atlantic Lvt Edificio Lacs,Estr Malveira Serra 92, P-2750834 Aldeia De Juzo, Cascais, Portugal
[3] Univ Vale Itajai, Ctr Ciencias Tecnol Terra & Mar Cttmar, UNICALI, Curso Ciencia Comp, Rua Uruguai,458 CTTMar Ciencia Comp Ctr,Cabca Pos, BR-88302202 Itajai, SC, Brazil
[4] Univ Fed Santa Catarina, UFSC, Coordenadoria Especial Oceanog, Campus Reitor Joao,Ferreira Lima,S-N, BR-88040900 Florianopolis, SC, Brazil
关键词:
Shoreline evolution;
Google earth engine;
Remote sensing;
Coastal management;
SATELLITE IMAGERY;
COASTLINE;
BEACH;
VULNERABILITY;
EXTRACTION;
ISLAND;
TOOL;
D O I:
10.1016/j.envsoft.2021.105033
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
CASSIE is an open-source web tool for automatic shoreline mapping and analysis using satellite imagery (www. cassiengine.com). This tool was built in JavaScript, using Google Earth Engine (GEE) API, and can be applied to any coastal region on Earth where a boundary between water and land exists. CASSIE use the Landsat and Sentinel-2 satellite imagery, freely available from GEE, and implements an automatic shoreline detection using the normalized difference water index (NDWI) together with Otsu image segmentation algorithm. The satellitederived shorelines are analysed for a set of user-defined cross-shore transects along which several statistical analyses are performed. Comparisons of the CASSIE-derived shorelines and rate of changes with state-of-the art methods show that the products from this tool have sub-pixel accuracy. The new concept of big-data cloud-based computing and storage platform (GEE), together with a user-friendly interface and high level of automation makes of CASSIE a complete tool to support a wide variety of studies and applications where the knowledge of the shoreline behaviour is fundamental.
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