Assessment of Open-source Software, QGIS, To Estimate Hurricane Matthew Flood Extent in Robeson County, North Carolina, Using Unsupervised Classification

2019 ◽  
Vol 25 (4) ◽  
pp. 359-367
Author(s):  
Cortney Cameron ◽  
Chibuike Madumere
Keyword(s):  
North Carolina ◽  
Open Source ◽  
Open Source Software ◽  
Unsupervised Classification ◽  
Landsat 8 ◽  
Aid Workers ◽  
Practical Application ◽  
Robeson County ◽  
Remote Sensing Techniques ◽  
Relief Efforts

ABSTRACT The spatial extent of flooding caused by Hurricane Matthew in Robeson County, NC, in October 2016 was investigated by comparing two Landsat-8 images (one flood and one non-flood) following K-means unsupervised classification for each in both ENVI, a proprietary software, and QGIS with Orfeo Toolbox, a free and open-source software. In this study, unsupervised classification was capable of rapidly producing regional maps, but poor accuracy constrained practical application. Of particular note, the open-source setup performed on par with the proprietary option for each of the classifications. Overall, remote sensing techniques using open-source software show promise in helping aid workers to cost-effectively conduct post-event analyses and relief efforts.

scholarly journals Practical application of open source software tools in cryptography

2014 ◽  
pp. 115-135 ◽  
Author(s):  
Dragan Ranđelović ◽  
Miloš Ranđelović ◽  
Željko Kuzmanović
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Tools ◽  
Practical Application

Comparison of topographic corrections for land‐cover classification in mountainous terrain

2020 ◽  
Author(s):  
Hadi Karimi ◽  
Sina Shahabi Ghahfarokhi ◽  
Ramin Arfania
Keyword(s):  
Satellite Image ◽  
Unsupervised Classification ◽  
Landsat 8 ◽  
Water Shortages ◽  
Optimal Arrangement ◽  
Topographic Correction ◽  
Study Region ◽  
North West ◽  
Elevation Data ◽  
Remote Sensing Techniques

<p>To overcome the food and water shortages and optimize the land use, remote sensing techniques and satellite image processing have utilized our demands. However, with limitations in image processes, the use of such techniques will need further development to overcome related constraints. Shadows, occurred on the opposite side of objects, result from topography and different angles of the emitting light source is one of these limitations. Several topographic correction methods are proposed based on the properties of ground coverage. To suggest and compare methods for imagery topography, this study uses Cosine Correction, C-Correction, Statistical Empirical Correction, and finally the Minnaert Correction. The study area used to compare the introduced methods is located in North West of Isfahan (Ardestan), Iran. The current report has used OLI sensors (LANDSAT 8) combined with ASTER global digital elevation data. After implementing topographic corrections, by optimal index OIF, images are processed. Based on the unsupervised method and the study region, results based on optimal arrangement bands are introduced as a suitable classification. In conclusion, based on imagery and statistical data from the topography corrections, Minnaret shows the most exceptional topographical correction classification for the chosen studied region.</p><p> </p><p>Keywords: aster, c-correction, cosine correction, Isfahan, Landsat-8, land management, Minnaert, oli, topographic correction, unsupervised classification.</p>

scholarly journals AUTOMATIC EXTRACTION OF TIDE-COORDINATED SHORELINE USING OPEN SOURCE SOFTWARE AND LANDSAT IMAGERY

2015 ◽  
Vol XL-7/W3 ◽  
pp. 953-957 ◽  
Author(s):  
G. Gonçalves ◽  
N. Duro ◽  
E. Sousa ◽  
I. Figueiredo
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Landsat Imagery ◽  
High Tide ◽  
Least Square Method ◽  
Least Square ◽  
Acquisition Time ◽  
Landsat 8 ◽  
Water Index ◽  
Intertidal Surface

Due to both natural and anthropogenic causes, the coastal lines keeps changing dynamically and continuously their shape, position and extend over time. In this paper we propose an approach to derive a tide-coordinate shoreline from two extracted instantaneous shorelines corresponding to a nearly low tide and high tide events. First, all the multispectral images are panshaperned to meet the 15 meters spatial resolution of the panchromatic images. Second, by using the Modification of Normalized Difference Water Index (MNDWI) and the kmeans clustering method we extract the raster shoreline for each image acquisition time. Third, each raster shoreline is smoothed and vectorized using a penalized least square method. Fourth, a 2D constrained Delaunay triangulation is built from the two extracted instantaneous shorelines with their respective heights interpolated from a Tidal gauche station. Finally, the desired tide-coordinate shoreline is interpolated from the previous triangular intertidal surface. The results show that an automatic tide-coordinated extraction method can be efficiently implemented using free available remote sensing imagery data (Landsat 8) and open source software (QGIS and Orfeo toolbox) and python scripting for task automation and software integration.

scholarly journals Free and Open Source Software Codes for Antenna Design: Preliminary Numerical Experiments

2019 ◽  
Vol 15 (2) ◽  
pp. 88-95 ◽  
Author(s):  
Alessandro Fedeli ◽  
Claudio Montecucco ◽  
Gian Luigi Gragnani
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Critical Points ◽  
Numerical Experiments ◽  
Antenna Design ◽  
Large Set ◽  
Practical Application ◽  
Numerical Tests ◽  
Software Codes ◽  
High Level

AbstractIn both industrial and scientific frameworks, free and open source software codes create novel and interesting opportunities in computational electromagnetics. One of the possible applications, which usually requires a large set of numerical tests, is related to antenna design. Despite the well-known advantages offered by open source software, there are several critical points that restrict its practical application. First, the knowledge of the open source programs is often limited. Second, by using open source packages it is sometimes not easy to obtain results with a high level of confidence, and to integrate open source modules in the production workflow. In the paper, a discussion about open source programs for antenna design is carried out. Furthermore, some preliminary numerical tests are presented and discussed, also in comparison with those obtained by means of commercial software. Results are related to the simulation of various typologies of antennas in order to assess the capabilities of open source software in different configurations. The presented comparisons show that, despite the abovementioned limitations, the examined open source packages have similar performance with respect to their commercial counterparts.

An Algorithm for Gradual Patch Acceptance Detection in Open Source Software Repository Mining

2012 ◽  
Vol E95.A (9) ◽  
pp. 1478-1489
Author(s):  
Passakorn PHANNACHITTA ◽  
Akinori IHARA ◽  
Pijak JIRAPIWONG ◽  
Masao OHIRA ◽  
Ken-ichi MATSUMOTO
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Repository ◽  
Repository Mining ◽  
Software Repository Mining
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