scholarly journals Method to Extend Operationability of Web-Gis Based Marine Services Using SSE Platform

2015 ◽  
Vol 22 (4) ◽  
pp. 21-26
Author(s):  
K. Drypczewski ◽  
A. Stepnowski ◽  
K. Bruniecki

AbstractEarth Observation (EO) products are widely used by geospatial society. Over the last years a number of new applications of satellite imagery were proposed. This led to an increased interest in EO products, not only from researchers but also from companies and individuals. The authors constitute the essential part of the team that created the marine, web-GIS system - SafeCity GIS - for dissemination of data obtained from a 1.5 metre HRPT-MetOp satellite ground receiving station. To increase the operationability of the system the authors successfully attempted to broaden the offered functionality by integration with Service Support Environment (SSE). Due to this, EO products for the Pomeranian Region are served as web-services; amongst them there are True Color imagery, meteorological, algae monitoring and fire-detection services. The authors present the created solution for web service support for GIS system based on Service Support Environment and discuss its advantages and disadvantages.

2021 ◽  
Vol 5 (2) ◽  
pp. 128
Author(s):  
Fitria Jalaluddin ◽  
Alfelia Nugky Permatasari

Covid-19 made several countries adopt lock-down policies as an effort to break the chain of spreading the virus. However, this policy greatly affects sectors related to the daily mobility of people, especially the tourism sector which has been most significantly affected by Covid-19. One of the provinces in Indonesia that has experienced a major loss in the tourism sector due to Covid-19 is the Yogyakarta Special Region (DIY). Therefore, the DIY government gradually continues to encourage the tourism sector to resume operations, one of which is by releasing new applications for tourists, namely "Jogja Pass" and "Visiting Jogja" to monitor visitors to tourism destinations in DIY. In this study the author will focus on studying the application "Visiting Jogja". The purpose of this research is to examine the advantages and disadvantages of the "Visiting Jogja" application from the user's point of view, and to find out whether the "Visiting Jogja" application can help restore the confidence of tourists to travel to Yogyakarta. This study uses qualitative research methods, with data collection techniques through direct interviews with 10 respondents as a sample who is determined randomly. The results show that the application "Visiting Jogja" can provide assurance for tourists, which helps generate confidence in users to visit more tourism attractions in Yogyakarta. However, the government's efforts in socializing and promoting the “Visiting Jogja” application to the public are still lacking.


2021 ◽  
Author(s):  
George Alexandrakis ◽  
Federico Nomi ◽  
Claudia Speciale ◽  
Sandro De Vita ◽  
Mauro Antonio Di Vito

<p>Geological and environmental conditions that influence local topography also affect indirectly the location of human settlement dynamics. Understanding those relationships plays an important role in archaeological research related to the evolution of settlement dynamics. In the lower Tyrrhenian Islands, an important parameter is also the volcanic landscape evolution. This work aims to study the patterns of Neolithic, Cooper and Bronze Age settlements, based on known archaeological sites at the Low Tyrrhenian Islands, and to generate hypotheses about the relations of settlement patterns with the volcanic landscape. To that end, a Web-GIS database was created, which was fed with topographic, geological, geomorphological data and Earth Observation data. Geomorphological analysis, derived from digital elevation models, and earth observation products such as the SENTINEL missions, can provide useful estimations into the processes shaping landscapes and insight into the location and evolution of settlements. The analysis includes a series of different data correlation, from geomorphologic to socioeconomic, integrated by an indicator analysis. A series of thematic maps were developed to interpret why areas were selected to host settlements. Through the use of the database that was developed during the project, a set of indexes have been applied. Those included exposure and vulnerability indices for the inland and coastal areas, but also location and defensibility indices for the archaeological sites. Moreover, baseline maps for future risk estimations through a Multi-Criteria Decision Analysis System (MCDA), have been produced. The Volcanic Islands of the lower Tyrrhenian coast have a volcanic origin and were influenced, and partly still are, by explosive and effusive eruptions of various energy and types, by more or less intense deformational events, often connected with the dynamics of the volcano, and quiescent periods of varying duration. The areas under investigation present different characteristics in their geomorphological but also their societal evolution. Geomorphological data further analyzed in a ternary diagram that indicated the relative influence of each of the parameters in each area. From the diagram, it can be seen that the locations of human activities are strongly affected by past and recent volcanic activity.</p><p>Acknowledgement: This work is part of the Brains2Islands “INDAGINE MULTIDISCIPLINARE NEI CONTESTI INSULARI BASSO TIRRENICI” project Funded by FONDAZIONE CON IL SUD project number 2015-0296</p>


Author(s):  
Surya Nepal ◽  
Shiping Chen

New applications have recently emerged within the domains of e-Health, e-Science, e-Research and e-Government that require the formation of dynamic collaborations between independent, autonomous business organizations for the duration of a project designed with a specific purpose. To successfully create and manage such collaborations, there is a need of a standard way to specify: (a) what resources are required, (b) who will contribute resources, (c) the type of access required to these resources, (d) agreement and obligations of the partners within the business collaboration, with the terms and conditions specified in the agreement, and (e) how to instantiate, maintain and terminate such business collaborations easily and in a well understood manner. The authors address these issues through the creation, negotiation and execution of an agreed electronic contract. First, this paper provides a framework for an electronic contract (e-Contract) by introducing a Web Service Collaborative Context Definition Language (WS-CCDL), which was developed in the context of dynamic business collaboration. Then, the authors illustrate its use with a universal (anywhere) connectivity service for a tele-Collaboration application in the context of e-Research domain. Both architectural design and implementation considerations are provided to highlight the feasibility and complicity of the technologies.


Author(s):  
Wenli Yang

Global long term Earth Observation (EO) provides valuable information about the land, ocean, and atmosphere of the Earth. EO data are often archived in specialized data systems managed by the data collector’s system. For the data to be fully utilized, one of the most important aspects is to adopt technologies that will enable users to easily find and obtain needed data in a form that can be readily used with little or no manipulation. Many efforts have been made in this direction but few, if any, data providers can deliver on-demand and operational data to users in customized form. Geospatial Web Service has been considered a promising solution to this problem. This chapter discusses the potential for operational and scalable delivery of on-demand personalized EO data using the interoperable Web Coverage Service (WCS) developed by the Open Geospatial Consortium (OGC).


Urban Science ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Kerry A. Nice ◽  
Jason Thompson ◽  
Jasper S. Wijnands ◽  
Gideon D. P. A. Aschwanden ◽  
Mark Stevenson

Urban typologies allow areas to be categorised according to form and the social, demographic, and political uses of the areas. The use of these typologies and finding similarities and dissimilarities between cities enables better targeted interventions for improved health, transport, and environmental outcomes in urban areas. A better understanding of local contexts can also assist in applying lessons learned from other cities. Constructing urban typologies at a global scale through traditional methods, such as functional or network analysis, requires the collection of data across multiple political districts, which can be inconsistent and then require a level of subjective classification. To overcome these limitations, we use neural networks to analyse millions of images of urban form (consisting of street view, satellite imagery, and street maps) to find shared characteristics between the largest 1692 cities in the world. The comparison city of Paris is used as an exemplar and we perform a case study using two Australian cities, Melbourne and Sydney, to determine if a “Paris-end” of town exists or can be found in these cities using these three big data imagery sets. The results show specific advantages and disadvantages of each type of imagery in constructing urban typologies. Neural networks trained with map imagery will be highly influenced by the structural mix of roads, public transport, and green and blue space. Satellite imagery captures a combination of both urban form and decorative and natural details. The use of street view imagery emphasises the features of a human-scaled visual geography of streetscapes. However, for both satellite and street view imagery to be highly effective, a reduction in scale and more aggressive pre-processing might be required in order to reduce detail and create greater abstraction in the imagery.


2020 ◽  
Author(s):  
Brittany Zajic ◽  
Samapriya Roy ◽  
Joseph Mascaro

<p>Flooding is the most common and costliest global natural disaster, accounting for 43% of all recorded events in the last 20 years and increasing the global cost of flooding tenfold by 2030. Satellite imagery has proven beneficial for numerous flood use cases from historical modeling, situational awareness and extent, to risk forecasting. The addition of high resolution, high cadence satellite imagery from Planet has been widely adopted by the flood community, from researchers in academia to private companies in the insurance and financial services. </p><p>Planet Labs, Inc. currently operates over 140 satellites, comprising of the largest constellation of Earth observation satellites. The PlanetScope dataset consists of broad coverage, always-on imaging of the entire landmass by 120+ Dove satellites at 3.7 meter resolution. Complementary to PlanetScope, the SkySat dataset includes 15 high resolution satellites imaging at .72 meter resolution with the ability to image any location on Earth twice daily via tasking commands. Next-Generation PlanetScope imagery powered by SuperDove will introduce new spectral bands and interoperability positioned for the increased utilization of Planet imagery by the flood community for both existing and new applications.</p>


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