scholarly journals VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software

2020 ◽  
Vol 9 (11) ◽  
pp. 679
Author(s):  
Nathalie Guimarães ◽  
Luís Pádua ◽  
Telmo Adão ◽  
Jonáš Hruška ◽  
Emanuel Peres ◽  
...  

Currently, the use of free and open-source software is increasing. The flexibility, availability, and maturity of this software could be a key driver to develop useful and interesting solutions. In general, open-source solutions solve specific tasks that can replace commercial solutions, which are often very expensive. This is even more noticeable in areas requiring analysis and manipulation/visualization of a large volume of data. Considering that there is a major gap in the development of web applications for photogrammetric processing, based on open-source technologies that offer quality results, the application presented in this article is intended to explore this niche. Thus, in this article a solution for photogrammetric processing is presented, based on the integration of MicMac, GeoServer, Leaflet, and Potree software. The implemented architecture, focusing on open-source software for data processing and for graphical manipulation, visualization, measuring, and analysis, is presented in detail. To assess the results produced by the proposed web application, a case study is presented, using imagery acquired from an unmanned aerial vehicle in two different areas.

Author(s):  
Olee Hoi Ying Lam ◽  
Marcel Dogotari ◽  
Moritz Prüm ◽  
Hemang Narendra Vithlani ◽  
Corinna Roers ◽  
...  

Author(s):  
B. R. Pulsani

Tank Information System is a web application which provides comprehensive information about minor irrigation tanks of Telangana State. As part of the program, a web mapping application using Flex and ArcGIS server was developed to make the data available to the public. In course of time as Flex be-came outdated, a migration of the client interface to the latest JavaScript based technologies was carried out. Initially, the Flex based application was migrated to ArcGIS JavaScript API using Dojo Toolkit. Both the client applications used published services from ArcGIS server. To check the migration pattern from proprietary to open source, the JavaScript based ArcGIS application was later migrated to OpenLayers and Dojo Toolkit which used published service from GeoServer. The migration pattern noticed in the study especially emphasizes upon the use of Dojo Toolkit and PostgreSQL database for ArcGIS server so that migration to open source could be performed effortlessly. The current ap-plication provides a case in study which could assist organizations in migrating their proprietary based ArcGIS web applications to open source. Furthermore, the study reveals cost benefits of adopting open source against commercial software's.


2021 ◽  
Vol 7 (1) ◽  
pp. 68-77
Author(s):  
Dhanny Dhanny ◽  
Sandi Badiwibowo Atiim

With the growth of the internet, the number of web applications is also growing. Many web applications are becoming more important to the stakeholders that they cannot afford downtime which can cause loss of revenue, loss of productivity, etc. In the past, only big organizations with deep pocket could afford implement high-availability for their web application, but nowadays there are free open-source software programs that support high-availability feature available to everyone. This research studied the feasibility of implementing high-availability for Java web application system without using commercial software. This research compared the capability of proprietary and free open-source high-availability solution for Java web application based on a simple high-availability design, where a test Java web application was deployed into the environment based on proprietary and free open-source solutions, and tested how well each solution perform when problem occurs. The result showed that the free open-source high-availability solution worked, but not as well as proprietary one. However, the proprietary high-availability solution for database did not perform well, and neither did the open-source one. This research concludes that the free open-source high-availability solution works and thus made high-availability become much more affordable, especially for individual or small organizations with budget constraints.


Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.


2021 ◽  
Author(s):  
Jason Hunter ◽  
Mark Thyer ◽  
Dmitri Kavetski ◽  
David McInerney

<p>Probabilistic predictions provide crucial information regarding the uncertainty of hydrological predictions, which are a key input for risk-based decision-making. However, they are often excluded from hydrological modelling applications because suitable probabilistic error models can be both challenging to construct and interpret, and the quality of results are often reliant on the objective function used to calibrate the hydrological model.</p><p>We present an open-source R-package and an online web application that achieves the following two aims. Firstly, these resources are easy-to-use and accessible, so that users need not have specialised knowledge in probabilistic modelling to apply them. Secondly, the probabilistic error model that we describe provides high-quality probabilistic predictions for a wide range of commonly-used hydrological objective functions, which it is only able to do by including a new innovation that resolves a long-standing issue relating to model assumptions that previously prevented this broad application.  </p><p>We demonstrate our methods by comparing our new probabilistic error model with an existing reference error model in an empirical case study that uses 54 perennial Australian catchments, the hydrological model GR4J, 8 common objective functions and 4 performance metrics (reliability, precision, volumetric bias and errors in the flow duration curve). The existing reference error model introduces additional flow dependencies into the residual error structure when it is used with most of the study objective functions, which in turn leads to poor-quality probabilistic predictions. In contrast, the new probabilistic error model achieves high-quality probabilistic predictions for all objective functions used in this case study.</p><p>The new probabilistic error model and the open-source software and web application aims to facilitate the adoption of probabilistic predictions in the hydrological modelling community, and to improve the quality of predictions and decisions that are made using those predictions. In particular, our methods can be used to achieve high-quality probabilistic predictions from hydrological models that are calibrated with a wide range of common objective functions.</p>


2017 ◽  
Vol 134 ◽  
pp. 211-227 ◽  
Author(s):  
Maria-Eleni Paschali ◽  
Apostolos Ampatzoglou ◽  
Stamatia Bibi ◽  
Alexander Chatzigeorgiou ◽  
Ioannis Stamelos

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