Beach carrying capacity assessment through image processing tools for coastal management

Huamantinco Cisneros M. Andrea; Revollo Sarmiento Natalia V.; Delrieux Claudio A.; Cintia Piccolo M.; Perillo Gerardo M. E.

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Beach carrying capacity assessment through image processing tools for coastal management

机译：通过用于沿海管理的图像处理工具评估海滩的承载能力

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Coastal environments are spaces where people may develop varied economic and recreational activities, such as tourism, which usually damage beaches and other natural resources commonly placed in these settings. The aim of this paper is to present a methodology to estimate and evaluate the Beach Carrying Capacity (BCC) and the actual beach usage level in coastal cities, using on-site information and video processing to provide significant real-time data. To test our methodology, we chose the coastal city of Monte Hermoso, Argentina, as a pilot site because it is by far the prime choice for a large population during summer vacation in this country. Initially, to estimate BCC, cartographic information about facilities and beach zones was collected and combined with surveys requested to tourists, to better understand their habits and preferences. This allowed an accurate estimation of other beach capacities related to BCC. Secondly, beach video sequences were processed with an algorithm that identified, located and counted people on the beach with an adequate accuracy. The actual occupancy factor was computed and used to asses whether the BCC had been exceeded. Also, people were tracked and their preferred relaxing areas were registered (e.g, closer to seaside during the morning). Finally, all the information was stored and visualized using a Geographic Information System (GIS) which allows both to analyze the different information layers and to produce interactive thematic maps. In this way, the resulting methodology may help to identify zones under risk of deterioration and to define suitable places for the development of varied activities (specially those related to tourism). It may also serve as a dashboard for decision and policy making and contribute to coastal management planning as well. (C) 2016 Elsevier Ltd. All rights reserved.

机译：沿海环境是人们可能从事各种经济和休闲活动（例如旅游业）的空间，通常会破坏这些环境中的海滩和其他自然资源。本文的目的是提供一种方法，利用现场信息和视频处理来提供重要的实时数据，以评估和评估沿海城市的海滩承载力（BCC）和海滩的实际使用水平。为了测试我们的方法，我们选择了阿根廷沿海城市蒙特埃莫索作为试点，因为到目前为止，它是该国暑假期间大量人口的首选。最初，为了估计BCC，收集了有关设施和海滩区域的制图信息，并与要求游客进行的调查相结合，以更好地了解他们的习惯和喜好。这样可以准确估计与BCC有关的其他海滩容量。其次，使用一种算法对海滩视频序列进行处理，该算法可以以足够的准确性识别，定位和计数海滩上的人员。计算实际占用系数，并将其用于评估是否已超出BCC。此外，还对人们进行了跟踪，并记录了他们偏爱的休闲区（例如，早上靠近海边）。最后，所有信息都使用地理信息系统（GIS）进行存储和可视化，从而可以分析不同的信息层并生成交互式主题地图。这样，所产生的方法可能有助于确定有退化风险的区域，并确定开展各种活动（特别是与旅游有关的活动）的合适场所。它也可以作为决策和政策制定的仪表板，也有助于海岸管理规划。（C）2016 Elsevier Ltd.保留所有权利。

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《Ocean & coastal management》 |2016年第9期|138-147|共10页
作者
Huamantinco Cisneros M. Andrea; Revollo Sarmiento Natalia V.; Delrieux Claudio A.; Cintia Piccolo M.; Perillo Gerardo M. E.;
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作者单位

Consejo Nacl Invest Cient & Tecn, Inst Argentina Oceanog, RA-8000 Bahia Blanca, Buenos Aires, Argentina|UNS, Dept Geog & Turismo, 12 Octubre & San Juan, Bahia Blanca, Buenos Aires, Argentina|CC804,B8000FWB, Bahia Blanca, Buenos Aires, Argentina;

Consejo Nacl Invest Cient & Tecn, Inst Argentina Oceanog, RA-8000 Bahia Blanca, Buenos Aires, Argentina|UNJu, Fac Ingn, Gorriti 237, San Salvador De Jujuy, Argentina|UNS, CONICET, Inst Invest Ingn Elect, Av Alem, RA-1253 Bahia Blanca, Buenos Aires, Argentina|UNS, Dept Ingn Elect & Comp, Av Alem, RA-1253 Bahia Blanca, Buenos Aires, Argentina;

UNS, CONICET, Inst Invest Ingn Elect, Av Alem, RA-1253 Bahia Blanca, Buenos Aires, Argentina|UNS, Dept Ingn Elect & Comp, Av Alem, RA-1253 Bahia Blanca, Buenos Aires, Argentina;

Consejo Nacl Invest Cient & Tecn, Inst Argentina Oceanog, RA-8000 Bahia Blanca, Buenos Aires, Argentina|UNS, Dept Geog & Turismo, 12 Octubre & San Juan, Bahia Blanca, Buenos Aires, Argentina;

Consejo Nacl Invest Cient & Tecn, Inst Argentina Oceanog, RA-8000 Bahia Blanca, Buenos Aires, Argentina|UNS, Dept Geol, San Juan 670, Bahia Blanca, Buenos Aires, Argentina;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Image processing; Coastal software; Coastal management; Feature extraction; Beach Carrying Capacity; Geographic Information Systems;

机译：图像处理;海岸软件;海岸管理;特征提取;海滩承载能力;地理信息系统;

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Beach carrying capacity assessment through image processing tools for coastal management

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