scholarly journals GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data

2016 ◽  
Vol 83 ◽  
pp. 58-73 ◽  
Author(s):  
Harish Sangireddy ◽  
Colin P. Stark ◽  
Anna Kladzyk ◽  
Paola Passalacqua
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Channel Morphology ◽  
Channel Network ◽  
Topography Data

scholarly journals Mapping of land cover with open‐source software and ultra‐high‐resolution imagery acquired with unmanned aerial vehicles

2020 ◽  
Vol 6 (4) ◽  
pp. 487-497 ◽  
Author(s):  
Ned Horning ◽  
Erica Fleishman ◽  
Peter J. Ersts ◽  
Frank A. Fogarty ◽  
Martha Wohlfeil Zillig
Keyword(s):  
High Resolution ◽  
Land Cover ◽  
Unmanned Aerial Vehicles ◽  
Open Source ◽  
Open Source Software ◽  
Aerial Vehicles ◽  
High Resolution Imagery

Evaluation of the sensitivity of open source DEM vs. local high resolution DEM data in tsunami hazard assessment

2020 ◽  
Author(s):  
Duygu Tufekci-Enginar ◽  
M. Lutfi Suzen ◽  
G. Guney Dogan ◽  
Ahmet Cevdet Yalciner
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Spatial Resolution ◽  
Hazard Assessment ◽  
Tsunami Hazard ◽  
Quality Data ◽  
Topographic Data ◽  
Aster Gdem ◽  
Tsunami Hazard Assessment ◽  
Topography Data

<p>Tsunami simulations using high resolution datasets would always resemble the results that are closer to the reality. However, high resolution airborne or spaceborne local datasets have not yet been available for many regions and acquisition of this data is costly or might not even be possible for some locations. This hard-to-reach situation of high resolution datasets obliged researchers to work with open source datasets in their studies, which forces them to cope with the uncertainties of low spatial resolution.</p><p>Tsunami numerical models require both bathymetric and topographic data in order to calculate wave propagation in the water and inundation on the land. Leaving aside the availability of reliable bathymetric data, there are different open source global Digital Elevation Model (DEM) datasets, which are freely available. ASTER GDEM, SRTM and ALOS World 3D are present global open source DEMs that have highest spatial resolution of 30 meters. These three different sources of DEMs are generated using different technologies during data acquisition and different methodologies while processing. Even if they are the best available open source datasets, they all include variable sources of differences and errors.</p><p>This study aims evaluation of the sensitivity of open source DEM datasets against high resolution DEM datasets for tsunami hazard assessment and examination of accuracy of the simulations’ results. A small area in Silivri district of Istanbul is selected as study area, where 1m resolution of topographic data is available. Tsunami simulations are performed using NAMI DANCE GPU with topography data of 1m resolution based on LiDAR measurements and topography data of 30m resolution based on ASTER GDEM, SRTM and ALOS World 3D datasets. The resulted inundation on land and flow depth distributions are plotted and discussed with comparisons.</p><p> </p><p>Acknowledgement: MSc. Bora Yalciner and Assoc. Prof. Dr. Andrey Zaytsev are acknowledged for their contributions in developing tsunami numerical model NAMI DANCE GPU used in this study. The authors also thank Istanbul Metropolitan Municipality, Directorate of Earthquake and Ground Investigation for providing high quality data and close cooperation.</p><p>Keywords: tsunami, hazard assessment, numerical modeling, open source DEM, high-resolution DEM</p>

scholarly journals UPGRADE OF FOSS DATE PLUG-IN: IMPLEMENTATION OF A NEW RADARGRAMMETRIC DSM GENERATION CAPABILITY

2016 ◽  
Vol XLI-B7 ◽  
pp. 821-825 ◽  
Author(s):  
M. Di Rita ◽  
A. Nascetti ◽  
F. Fratarcangeli ◽  
M. Crespi
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Weather Conditions ◽  
Ground Sample ◽  
Satellite Systems ◽  
Stereo Reconstruction ◽  
First Results ◽  
Sar Imagery ◽  
University Of Rome

Synthetic Aperture Radar (SAR) satellite systems may give important contribution in terms of Digital Surface Models (DSMs) generation considering their complete independence from logistic constraints on the ground and weather conditions. In recent years, the new availability of very high resolution SAR data (up to 20 cm Ground Sample Distance) gave a new impulse to radargrammetry and allowed new applications and developments. Besides, to date, among the software aimed to radargrammetric applications only few show as free and open source. It is in this context that it has been decided to widen DATE (Digital Automatic Terrain Extractor) plug-in capabilities and additionally include the possibility to use SAR imagery for DSM stereo reconstruction (i.e. radargrammetry), besides to the optical workflow already developed. <br><br> DATE is a Free and Open Source Software (FOSS) developed at the Geodesy and Geomatics Division, University of Rome “La Sapienza”, and conceived as an OSSIM (Open Source Software Image Map) plug-in. It has been developed starting from May 2014 in the framework of 2014 Google Summer of Code, having as early purpose a fully automatic DSMs generation from high resolution optical satellite imagery acquired by the most common sensors. <br><br> Here, the results achieved through this new capability applied to two stacks (one ascending and one descending) of three TerraSAR-X images each, acquired over Trento (Northern Italy) testfield, are presented. Global accuracies achieved are around 6 metres. These first results are promising and further analysis are expected for a more complete assessment of DATE application to SAR imagery.

Open-Source Software for Crop Physiological Assessments Using High Resolution RGB Images

2020 ◽  
Author(s):  
Shawn C. Kefauver ◽  
Adrian Gracia Romero ◽  
Ma. Luisa Buchaillot ◽  
Omar Vergara-Diaz ◽  
Jose A. Fernandez-Gallego ◽  
...  
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Rgb Images

scholarly journals UPGRADE OF FOSS DATE PLUG-IN: IMPLEMENTATION OF A NEW RADARGRAMMETRIC DSM GENERATION CAPABILITY

2016 ◽  
Vol XLI-B7 ◽  
pp. 821-825
Author(s):  
M. Di Rita ◽  
A. Nascetti ◽  
F. Fratarcangeli ◽  
M. Crespi
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Weather Conditions ◽  
Ground Sample ◽  
Satellite Systems ◽  
Stereo Reconstruction ◽  
First Results ◽  
Sar Imagery ◽  
University Of Rome

Synthetic Aperture Radar (SAR) satellite systems may give important contribution in terms of Digital Surface Models (DSMs) generation considering their complete independence from logistic constraints on the ground and weather conditions. In recent years, the new availability of very high resolution SAR data (up to 20 cm Ground Sample Distance) gave a new impulse to radargrammetry and allowed new applications and developments. Besides, to date, among the software aimed to radargrammetric applications only few show as free and open source. It is in this context that it has been decided to widen DATE (Digital Automatic Terrain Extractor) plug-in capabilities and additionally include the possibility to use SAR imagery for DSM stereo reconstruction (i.e. radargrammetry), besides to the optical workflow already developed. <br><br> DATE is a Free and Open Source Software (FOSS) developed at the Geodesy and Geomatics Division, University of Rome “La Sapienza”, and conceived as an OSSIM (Open Source Software Image Map) plug-in. It has been developed starting from May 2014 in the framework of 2014 Google Summer of Code, having as early purpose a fully automatic DSMs generation from high resolution optical satellite imagery acquired by the most common sensors. <br><br> Here, the results achieved through this new capability applied to two stacks (one ascending and one descending) of three TerraSAR-X images each, acquired over Trento (Northern Italy) testfield, are presented. Global accuracies achieved are around 6 metres. These first results are promising and further analysis are expected for a more complete assessment of DATE application to SAR imagery.

Ultrasound speckle tracking to detect vascular distensibility changes from angioplasty and branch ligation in a radio-cephalic fistula: Use of novel open source software

2020 ◽  
pp. 112972982095991
Author(s):  
William F Weitzel ◽  
Nirmala Rajaram ◽  
Yihao Zheng ◽  
Brian J Thelen ◽  
Venkataramu N Krishnamurthy ◽  
...  
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Vessel Wall ◽  
Speckle Tracking ◽  
Wall Motion ◽  
Wide Range ◽  
Before And After ◽  
Conventional Ultrasound ◽  
Duplex Doppler

We used novel open source software, based on an ultrasound speckle tracking algorithm, to examine the distensibility of the vessel wall of the inflow artery, anastomosis, and outflow vein before and after two procedures. An 83-year-old white man with a poorly maturing radio-cephalic fistula received an angioplasty at the anastomosis followed by branch ligation 28 days later. Duplex Doppler measurements corroborated the blood flow related changes anticipated from the interventions. The experimental distensibility results showed that it is technically feasible to measure subtle vessel wall motion changes with high resolution (sub-millimeter) using standard Digital Imaging and Communications in Medicine (DICOM) ultrasound data, which are readily available on conventional ultrasound scanners. While this methodology was originally developed using high resolution radiofrequency from ultrasound data, the goal of this study was to use DICOM data, which makes this technology accessible to a wide range of users.

scholarly journals A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data

2021 ◽  
Author(s):  
Shiqin Liu ◽  
Carl Higgs ◽  
Jonathan Arundel ◽  
Geoff Boeing ◽  
Nicholas Cerdera ◽  
...  
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
City Planning ◽  
Open Data ◽  
Urban Transport ◽  
Local Planning ◽  
Generalized Framework ◽  
Pedestrian Accessibility

Pedestrian accessibility is an important factor in urban transport and land use policy and critical for creating healthy, sustainable cities. Developing and evaluating indicators measuring inequalities in pedestrian accessibility can help planners and policymakers benchmark and monitor the progress of city planning interventions. However, measuring and assessing indicators of urban design and transport features at high resolution worldwide to enable city comparisons is challenging due to limited availability of official, high quality, and comparable spatial data, as well as spatial analysis tools offering customizable frameworks for indicator construction and analysis. To address these challenges, this study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data. It presents a generalized method to consistently measure pedestrian accessibility at high resolution and spatially aggregated scale, to allow for both within- and between-city analyses. The open source and open data methods developed in this study can be extended to other cities worldwide to support local planning and policymaking. The software is made publicly available for reuse in an open repository.

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