scholarly journals Coastal Aquaculture Mapping from Very High Spatial Resolution Imagery by Combining Object-Based Neighbor Features

2019 ◽  
Vol 11 (3) ◽  
pp. 637 ◽  
Author(s):  
Yongyong Fu ◽  
Jinsong Deng ◽  
Ziran Ye ◽  
Muye Gan ◽  
Ke Wang ◽  
...  
Keyword(s):  
Global Economy ◽  
Classification Performance ◽  
Coastal Ecosystems ◽  
Raft Culture ◽  
The Sustainable Development ◽  
Multi Scale ◽  
Coastal Aquaculture ◽  
Object Based ◽  
Single Scale ◽  
Very High Spatial Resolution

Coastal aquaculture plays an important role in the provision of seafood, the sustainable development of regional and global economy, and the protection of coastal ecosystems. Inappropriate planning of disordered and intensive coastal aquaculture may cause serious environmental problems and socioeconomic losses. Precise delineation and classification of different kinds of aquaculture areas are vital for coastal management. It is difficult to extract coastal aquaculture areas using the conventional spectrum, shape, or texture information. Here, we proposed an object-based method combining multi-scale segmentation and object-based neighbor features to delineate existing coastal aquaculture areas. We adopted the multi-scale segmentation to generate semantically meaningful image objects for different land cover classes, and then utilized the object-based neighbor features for classification. Our results show that the proposed approach effectively identified different types of coastal aquaculture areas, with 96% overall accuracy. It also performed much better than other conventional methods (e.g., single-scale based classification with conventional features) with higher classification accuracy. Our results also suggest that the multi-scale segmentation and neighbor features can obviously improve the classification performance for the extraction of cage culture areas and raft culture areas, respectively. Our developed approach lays a solid foundation for intelligent monitoring and management of coastal ecosystems.

scholarly journals Novel Multi-Scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification

2019 ◽  
Vol 11 (18) ◽  
pp. 2153
Author(s):  
Zhiyong Lv ◽  
Guangfei Li ◽  
Yixiang Chen ◽  
Jón Atli Benediktsson
Keyword(s):  
Remote Sensing ◽  
Principal Component ◽  
Remote Sensing Image ◽  
Classification Performance ◽  
Remote Sensing Images ◽  
Multi Scale ◽  
Remote Sensing Image Classification ◽  
Very High Spatial Resolution ◽  
Layer Stacking ◽  
Initial Classification

Filter is a well-known tool for noise reduction of very high spatial resolution (VHR) remote sensing images. However, a single-scale filter usually demonstrates limitations in covering various targets with different sizes and shapes in a given image scene. A novel method called multi-scale filter profile (MFP)-based framework (MFPF) is introduced in this study to improve the classification performance of a remote sensing image of VHR and address the aforementioned problem. First, an adaptive filter is extended with a series of parameters for MFP construction. Then, a layer-stacking technique is used to concatenate the MPFs and all the features into a stacked vector. Afterward, principal component analysis, a classical descending dimension algorithm, is performed on the fused profiles to reduce the redundancy of the stacked vector. Finally, the spatial adaptive region of each filter in the MFPs is used for post-processing of the obtained initial classification map through a supervised classifier. This process aims to revise the initial classification map and generate a final classification map. Experimental results performed on the three real VHR remote sensing images demonstrate the effectiveness of the proposed MFPF in comparison with the state-of-the-art methods. Hard-tuning parameters are unnecessary in the application of the proposed approach. Thus, such a method can be conveniently applied in real applications.

scholarly journals Seaports during the COVID-19 Pandemic: The Terminal Operators’ Tactical Responses to Disruptions in Maritime Supply Chains

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4339
Author(s):  
Marta Mańkowska ◽  
Michał Pluciński ◽  
Izabela Kotowska ◽  
Ludmiła Filina-Dawidowicz
Keyword(s):  
Supply Chains ◽  
Global Economy ◽  
Research Study ◽  
Inductive Reasoning ◽  
Main Function ◽  
The Sustainable Development ◽  
Study Results ◽  
Multiple Case ◽  
Tactical Decisions

The world-wide crisis caused by the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on the global economy functioning and the sustainable development of supply chains. The changes also affected seaports being the key links of maritime supply chains. The purpose of the research study described in this article was to identify the sources and kinds of disruptions observed in various maritime supply chains as a result of the COVID-19 pandemic and their impact on the operations of various types of seaport terminals, namely those serving bulk (universal, specialised) and general cargoes (universal, specialised). An additional purpose was to identify the dependencies between the type of terminal and its main function, and the tactical decisions adopted by the particular terminals. The research was carried out using the multiple-case study method. The study covered some selected port terminals functioning in Polish seaports (Gdańsk, Szczecin, Świnoujście), applying direct, semi-structured in-depth interviews. The analysis of the results was carried out using the inductive reasoning method. The research study has shown that as a result of the COVID-19 pandemic some maritime supply chains ceased to exist, some of them were operating with decreased cargo volumes, while in other cases the transshipment volumes actually rose during the pandemic. Among terminal operators’ tactical responses to disruptions in maritime supply chains, there were pro-active and adaptive measures. Pro-active (offensive) measures included actions taken by an enterprise in order to engage in new maritime supply chains, and even participating in establishing new maritime chains in response to limitations caused by the pandemic. Adaptive (defensive) measures covered actions taken by the port terminals as a consequence of changes in the existing maritime supply chains, caused by the pandemic in the port’s foreland or hinterland. The research study results revealed that the terminals extent of engagement and tactical decisions related to the pandemic were depended on the type of terminal (universal or specialised) and its main function played within a supply chain.

scholarly journals Monitoring oyster culture rafts and seagrass meadows in Nagatsura-ura Lagoon, Sanriku Coast, Japan before and after the 2011 tsunami by remote sensing: their recoveries implying the sustainable development of coastal waters

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10727
Author(s):  
Hiroki Murata ◽  
Motoyuki Hara ◽  
Chinatsu Yonezawa ◽  
Teruhisa Komatsu
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Coastal Waters ◽  
Coastal Ecosystems ◽  
Oyster Culture ◽  
Sanriku Coast ◽  
The Sustainable Development ◽  
Seagrass Meadows ◽  
Before And After ◽  
Aquaculture Management

Background Coastal ecosystems are blue infrastructures that support coastal resources and also aquaculture. Seagrass meadows, one of coastal ecosystems, provide substrates for epiphytic diatoms, which are food resources for cultured filter feeder organisms. Highly intensive coastal aquaculture degrades coastal environments to decrease seagrass meadows. Therefore, efficient aquaculture management and conservation of seagrass meadows are necessary for the sustainable development of coastal waters. In ria-type bays, non-feeding aquaculture of filter feeders such as oysters, scallops, and ascidians are actively practiced along the Sanriku Coast, Japan. Before the 2011 Great East Japan Earthquake, the over-deployment of oyster culture facilities polluted the bottom environment and formed an hypoxic bottom water layer due to the organic excrements from cultured oysters. The tsunami in 2011 devastated the aquaculture facilities and seagrass meadows along the Sanriku Coast. We mapped the oyster culture rafts and seagrass meadows in Nagatsura-ura Lagoon, Sanriku Coast before and after the tsunami and monitored those and environments after the tsunami by field surveys. Methods We conducted field surveys and monitored the environmental parameters in Nagatsura-ura Lagoon every month since 2014. We used high-resolution satellite remote sensing images to map oyster culture rafts and seagrass meadows at irregular time intervals from 2006 to 2019 in order to assess their distribution. In 2019, we also used an unmanned aerial vehicle to analyze the spatial variability of the position and the number of ropes suspending oyster clumps beneath the rafts. Results In 2013, the number and distribution of the oyster culture rafts had been completely restored to the pre-tsunami conditions. The mean area of culture raft increased after the tsunami, and ropes suspending oyster clumps attached to a raft in wider space. Experienced local fishermen also developed a method to attach less ropes to a raft, which was applied to half of the oyster culture rafts to improve oyster growth. The area of seagrass meadows has been expanding since 2013. Although the lagoon had experienced frequent oyster mass mortality events in summer before the tsunami, these events have not occurred since 2011. The 2011 earthquake and tsunami deepened the sill depth and widened the entrance to enhance water exchange and improve water quality in the lagoon. These changes brought the expansion of seagrass meadows and reduction of mass mortality events to allow sustainable oyster culture in the lagoon. Mapping and monitoring of seagrass meadows and aquaculture facilities via satellite remote sensing can provide clear visualization of their temporal changes. This can in turn facilitate effective aquaculture management and conservation of coastal ecosystems, which are crucial for the sustainable development of coastal waters.

scholarly journals The Development of Multi-scale Data Management for CityGML-based 3D Buildings

2021 ◽  
Vol 16 (1) ◽  
pp. 71-94
Author(s):  
Hairi Karim ◽  
Alias Abdul Rahman ◽  
Suhaibah Azri ◽  
Zurairah Halim
Keyword(s):  
City Development ◽  
Multi Scale ◽  
Levels Of Detail ◽  
Current Implementation ◽  
Single Scale ◽  
Spatial Management ◽  
Scale Models ◽  
Efficient Information ◽  
Control And Management ◽  
Multi Scales

The CityGML model is now the norm for smart city or digital twin city development for better planning, management, risk-related modelling and other applications. CityGML comes with five levels of detail (LoD), mainly constructed from point cloud measurements and images of several systems, resulting in a variety of accuracies and detailed models. The LoDs, also known as pre-defined multi-scale models, require large storage-memory-graphic consumption compared to single scale models. Furthermore, these multi-scales have redundancy in geometries, attributes, are costly in terms of time and workload in updating tasks, and are difficult to view in a single viewer. It is essential for data owners to engage with a suitable multi-scale spatial management solution in minimizes the drawbacks of the current implementation. The proper construction, control and management of multi-scale models are needed to encourage and expedite data sharing among data owners, agencies, stakeholders and public users for efficient information retrieval and analyses. This paper discusses the construction of the CityGML model with different LoDs using several datasets. A scale unique ID is introduced to connect all respective LoDs for cross-LoD information queries within a single viewer. The paper also highlights the benefits of intermediate outputs and limitations of the proposed solution, as well as suggestions for the future.

scholarly journals Green Tourism in the Context of Sustainable Development and the Challenges Posed by the Global Economic Crisis

2020 ◽  
Vol 3 (45) ◽  
pp. 11-17
Author(s):  
T. O. Zinchuk ◽  
◽  
T. V. Usiuk ◽  
Keyword(s):  
Sustainable Development ◽  
Economic Crisis ◽  
Rural Areas ◽  
Global Economy ◽  
Sustainable Development Goals ◽  
Tourism Development ◽  
The Sustainable Development ◽  
The Face ◽  
Green Tourism ◽  
Development Goals

The articles aims to substantiate the socio-economic, environmental, historical and cultural role played by green tourism and its contribution to the implementation of Sustainable Development Goals based on current innovative trends and capabilities of tourism in the face of challenges posed by the ongoing crisis in global economy caused by the latest pandemic. The objectives of the research were to detail the theoretical, methodological and applied approaches to the development of green tourism, which is a market sector providing travel services. The definition of green tourism has been made more profound through connecting it with the Sustainable Development Goals, which is rather logical. The motivating factors for the development of green tourism have been analyzed taking into account the model of multifunctionality in agriculture and its importance in rural development policy. The nature of changes in the green tourism sector has been identified with respect to the peculiarities of the current global situation, when a pandemic is restraining the world tourism intensity, on the one hand, and is stimulating local tourism, on the other. It is worth adding that local tourism is mostly green and focused on the conservation of the environmental and natural resources, as well as sustainment of mostly rural areas. The research carried out shows that green tourism can become a driving force for economic growth in rural areas, a motivator for employment, a factor in preserving rural culture and traditions in a particular area. At the same time, the results of the research prove the existence of a link between green tourism and national economic, environmental, socio-cultural, intellectual, energy security due to the most typical development priorities of such tourism. On analyzing the experience of the countries that suffered the pandemic most, we have found some prospects for green tourism development. It is a new system of partnership between the state, business and civil society which can become an additional incentive to preserve the potential of green tourism. Thus, strategic guidelines for green tourism development based on institutional priorities, with the current economic crisis challenges in mind, have been designed.

scholarly journals A REGION-BASED MULTI-SCALE APPROACH FOR OBJECT-BASED IMAGE ANALYSIS

2016 ◽  
Vol XLI-B7 ◽  
pp. 241-247 ◽  
Author(s):  
T. Kavzoglu ◽  
M. Yildiz Erdemir ◽  
H. Tonbul
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Classification Accuracy ◽  
Scale Parameter ◽  
Rate Of Change ◽  
Multi Scale ◽  
Object Based Image Analysis ◽  
Optimal Scale ◽  
Segmentation Process ◽  
Object Based

Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest. The most important stage of the OBIA is image segmentation that groups spectrally similar adjacent pixels considering not only the spectral features but also spatial and textural features. Although there are several parameters (scale, shape, compactness and band weights) to be set by the analyst, scale parameter stands out the most important parameter in segmentation process. Estimating optimal scale parameter is crucially important to increase the classification accuracy that depends on image resolution, image object size and characteristics of the study area. In this study, two scale-selection strategies were implemented in the image segmentation process using pan-sharped Qickbird-2 image. The first strategy estimates optimal scale parameters for the eight sub-regions. For this purpose, the local variance/rate of change (LV-RoC) graphs produced by the ESP-2 tool were analysed to determine fine, moderate and coarse scales for each region. In the second strategy, the image was segmented using the three candidate scale values (fine, moderate, coarse) determined from the LV-RoC graph calculated for whole image. The nearest neighbour classifier was applied in all segmentation experiments and equal number of pixels was randomly selected to calculate accuracy metrics (overall accuracy and kappa coefficient). Comparison of region-based and image-based segmentation was carried out on the classified images and found that region-based multi-scale OBIA produced significantly more accurate results than image-based single-scale OBIA. The difference in classification accuracy reached to 10% in terms of overall accuracy.

scholarly journals Eco-Design of the Urban Corridor in View of the Landscape Ecological Theory

2021 ◽  
Vol 236 ◽  
pp. 04007
Author(s):  
Hao Kaili ◽  
Liang Yan
Keyword(s):  
Global Economy ◽  
Urban Landscape ◽  
Rapid Development ◽  
Ecological Theory ◽  
Forest Degradation ◽  
Ecological Design ◽  
The Sustainable Development ◽  
The Moment ◽  
Landscape Ecological ◽  
Urban Corridor

Benefiting from the rapid development of global economy, a growing number of post-industry products spring up. In comparison to the population in the suburb, the urban population presents a significantly increasing tendency. Undoubtedly, the efficient lifestyle, the convenient way of traveling and the industrial products have caused irresistible threat and damage to the nature. The soil desertification, saline-alkali land, forest degradation and else environmental issues occur as an obvious warning from the nature to us. Therefore, it is an imminent research subject at the moment to seek for symbiotic and harmonious relationship between the human and the nature. The urban landscape is a type of highly artificial design. In it, the urban corridor develops to steer the development of the overall urban landscape pattern. In the process of urban corridor design, the landscape ecological theory is essential in practical application. Spirited by ecological design, the natural ecology landscape is added on the basis of artificial restoration. This paper profoundly studied the sustainable development of the urban landscape setup, thus providing healthier and livelier design on the green ecological corridor for the urban dwellers.

An Analysis of Development of Domestic and Inbound Tourism in Russia

2017 ◽  
pp. 252-264
Author(s):  
Amit Kumar ◽  
Anastasia Legashova
Keyword(s):  
Global Economy ◽  
Business Climate ◽  
The Sustainable Development ◽  
Heritage Sites ◽  
Travel And Tourism ◽  
Regulatory Frameworks ◽  
Tourism Sector ◽  
Inbound Tourism ◽  
World Economic ◽  
The U.S

One of the most promising sectors in the global economy is Tourism, yet in Russia, the sector's potential is far from fulfilled. Tourism should be at the heart of the core priority areas of Russia's economic development, particularly true in view of the current economic slump. Russia has no shortage of regions with visibly high potential for developing tourism, yet there are a number of problems, characteristic of Russia, which impede its progress: malnourished tourism coupled with an unsophisticated infrastructure, a shortage of personnel, weak marketing, a gloomy business climate, and a lack of adequate regulatory frameworks. Be this as it may, the slump, rather than being a hindrance, should be considered a fresh opportunity for the Russian tourism sector. Russia has been ranked 45th in the latest edition of the biennial Travel and Tourism Competitiveness Report, improving its performance by 18 points from its 2013 ranking of 63rd. The ranking, which includes 141 countries, is compiled by the World Economic Forum and Strategy Partners Group every two years, and assesses “the set of factors and policies that enable the sustainable development of the Travel and Tourism (T&T) sector, which in turn, contributes to the development and competitiveness of a country.” In 2013, the WEF cited hefty prices as one of the main disadvantages of the Russian tourist market. The availability of natural and cultural heritage sites has ensured additional points for Russia in the overall ranking; in these areas the country ranked 34th and 21st, respectively. Tours to Russia have become more affordable following the recent devaluation of the ruble – the value of the national currency against the U.S. dollar has fallen by 44 percent since May 2014. As a result, accommodation in hotels has become markedly cheaper. In addition, the consultants noted an improvement in air links (22nd). The present research is an attempt to analyze the development of domestic and inbound tourism in Russian Federation.

scholarly journals Scene Recognition Based on Recurrent Memorized Attention Network

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2038
Author(s):  
Xi Shao ◽  
Xuan Zhang ◽  
Guijin Tang ◽  
Bingkun Bao
Keyword(s):  
Recognition Accuracy ◽  
State Of The Art ◽  
Classification Performance ◽  
Scene Recognition ◽  
Experimental Results ◽  
Scene Classification ◽  
Attention Network ◽  
Attention Model ◽  
Scene Image ◽  
Object Based

We propose a new end-to-end scene recognition framework, called a Recurrent Memorized Attention Network (RMAN) model, which performs object-based scene classification by recurrently locating and memorizing objects in the image. Based on the proposed framework, we introduce a multi-task mechanism that contiguously attends on the different essential objects in a scene image and recurrently performs memory fusion of the features of object focused by an attention model to improve the scene recognition accuracy. The experimental results show that the RMAN model has achieved better classification performance on the constructed dataset and two public scene datasets, surpassing state-of-the-art image scene recognition approaches.

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