The Solar System Treks Mosaic Pipeline (SSTMP)

2020 ◽  
Author(s):  
Aaron Curtis ◽  
Emily Law ◽  
Shan Malhotra ◽  
Brian Day ◽  
Marshall Trautman ◽  
...  
Keyword(s):  
Solar System ◽  
Open Source ◽  
Laser Altimeter ◽  
Narrow Angle ◽  
Spatial Alignment ◽  
Stereo Reconstruction ◽  
Common Framework ◽  
Mosaic Generation ◽  
Using Data ◽  
Processing Steps

<p>Solar System Treks Mosaic Pipeline (SSTMP) is a new, open-source tool for generation of planetary DEM and orthoimage mosaics. Opportunistic stereo reconstruction from pre-existing orbital imagery has in the past typically required significant human input, particularly in the pair selection and spatial alignment steps. Previous stereo mosaics incorporate myriad human decisions, compromising the reproducibility of the process and complicating uncertainty analysis. Lack of a common framework for recording operator input has hindered the community's ability to collaborate and share experience to improve stereo reconstruction techniques. SSTMP provides a repeatable, turnkey, end-to-end solution for creating these products. The user requests mosaic generation for a bounding box or polygon, initiating a workflow which results in deliverable mosaics usable for site characterization, science, and public outreach.</p> <p>The inital release of SSTMP focuses on production of elevation and orthoimage mosaics using data from the Lunar Reconaissance Orbiter's Narrow Angle Camera (LRO NAC). SSTMP can automatically select viable stereo pairs, complete stereo reconstruction, refine alignments using data from the LRO's laser altimeter (LOLA), and combine the data to produce orthoimage, elevation, and color hillshade mosaics.</p> <p>SSTMP encapsulates the entire stereo mosaic production process into one workflow, managed by Argo Workflow opensource Kubernetes-based software. Each process runs in a container including all tools necessary for production and geospatial analysis of mosaics, ensuring a consistent computing environment. SSTMP automatically retrieves all necessary data. For processing steps, it leverages free and open-source software including Ames Stereo Pipeline, USGS ISIS, Geopandas, GDAL, and Orfeo toolbox.</p>

An update on the Solar System Treks Mosaic Pipeline: public server and new mosaic products

2021 ◽  
Author(s):  
Aaron Curtis ◽  
Heather Lethcoe ◽  
Emily Law ◽  
Brian Day
Keyword(s):  
Solar System ◽  
Open Source ◽  
Web Browser ◽  
Narrow Angle ◽  
Digital Terrain ◽  
Area Of Interest ◽  
Wide Range ◽  
Stereo Reconstruction ◽  
The Status ◽  
Barrier To Entry

<p>Solar System Treks (https://trek.nasa.gov) allows you to exploring the solar system in your web browser. Many of the digital terrain models and orthoimage mosaics viewable on Solar System Treks were created using a custom kubernetes-based pipeline, which we released open source in 2020 as the Solar System Treks Mosaic Pipeline (SSTMP). SSTMP manages workflows based on open-source applications including USGS ISIS and Ames Stereo Pipeline. It contains several templates for mosaic workflows to create stereo and imagery mosaics from Lunar Reconaissance Orbiter Narrow Angle Camera imagery, and is eventually will be expanded to include workflow templates to process imagery from a wide range of orbiters on all of the bodies that Solar System Treks supports (e.g. Mars, Venus, Ceres, Vesta, Bennu, Europa, etc.)</p> <p>Until recently, using SSTMP required installation on a Kubernetes cluster, which is a significant barrier to entry for many potential users. In response to this, we are creating a public-facing SSTMP server which allows turnkey mosaic creation. The user only needs to go to the website and select the area of interest, and SSTMP does the rest: determining the best imagery, downloading and ingesting it, computing stereo reconstruction, merging and formatting the result. Here we present the status of this tool and a demonstration.</p> <p>Additionally, we present new imagery products recently produced by SSTMP, including some experimental stereo reconstructions in the south polar region of the moon.</p>

scholarly journals Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS’s Bathymetric Mapping Performance

2019 ◽  
Vol 11 (14) ◽  
pp. 1634 ◽  
Author(s):  
Christopher E. Parrish ◽  
Lori A. Magruder ◽  
Amy L. Neuenschwander ◽  
Nicholas Forfinski-Sarkozi ◽  
Michael Alonzo ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Photon Counting ◽  
Water Clarity ◽  
Virgin Islands ◽  
Maximum Depth ◽  
Laser Altimeter ◽  
Bathymetric Mapping ◽  
Primary Focus ◽  
Using Data ◽  
Water Depths

NASA’s Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was launched in September, 2018. The satellite carries a single instrument, ATLAS (Advanced Topographic Laser Altimeter System), a green wavelength, photon-counting lidar, enabling global measurement and monitoring of elevation with a primary focus on the cryosphere. Although bathymetric mapping was not one of the design goals for ATLAS, pre-launch work by our research team showed the potential to map bathymetry with ICESat-2, using data from MABEL (Multiple Altimeter Beam Experimental Lidar), NASA’s high-altitude airborne ATLAS emulator, and adapting the laser-radar equation for ATLAS specific parameters. However, many of the sensor variables were only approximations, which limited a full assessment of the bathymetric mapping capabilities of ICESat-2 during pre-launch studies. Following the successful launch, preliminary analyses of the geolocated photon returns have been conducted for a number of coastal sites, revealing several salient examples of seafloor detection in water depths of up to ~40 m. The geolocated seafloor photon returns cannot be taken as bathymetric measurements, however, since the algorithm used to generate them is not designed to account for the refraction that occurs at the air–water interface or the corresponding change in the speed of light in the water column. This paper presents the first early on-orbit validation of ICESat-2 bathymetry and quantification of the bathymetric mapping performance of ATLAS using data acquired over St. Thomas, U.S. Virgin Islands. A refraction correction, developed and tested in this work, is applied, after which the ICESat-2 bathymetry is compared against high-accuracy airborne topo-bathymetric lidar reference data collected by the U.S. Geological Survey (USGS) and the National Oceanic and Atmospheric Administration (NOAA). The results show agreement to within 0.43—0.60 m root mean square error (RMSE) over 1 m grid resolution for these early on-orbit data. Refraction-corrected bottom return photons are then inspected for four coastal locations around the globe in relation to Visible Infrared Imaging Radiometer Suite (VIIRS) Kd(490) data to empirically determine the maximum depth mapping capability of ATLAS as a function of water clarity. It is demonstrated that ATLAS has a maximum depth mapping capability of nearly 1 Secchi in depth for water depths up to 38 m and Kd(490) in the range of 0.05–0.12 m−1. Collectively, these results indicate the great potential for bathymetric mapping with ICESat-2, offering a promising new tool to assist in filling the global void in nearshore bathymetry.

scholarly journals Impute.me: An Open-Source, Non-profit Tool for Using Data From Direct-to-Consumer Genetic Testing to Calculate and Interpret Polygenic Risk Scores

2020 ◽  
Vol 11 ◽  
Author(s):  
Lasse Folkersen ◽  
Oliver Pain ◽  
Andrés Ingason ◽  
Thomas Werge ◽  
Cathryn M. Lewis ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Open Source ◽  
Risk Scores ◽  
Non Profit ◽  
Polygenic Risk ◽  
Direct To Consumer ◽  
Using Data

MoVE: A Mobility Virtual Environment for Autonomous Vehicle Testing

2019 ◽  
Author(s):  
Marc Compere ◽  
Garrett Holden ◽  
Otto Legon ◽  
Roberto Martinez Cruz
Keyword(s):  
Open Source ◽  
Virtual Environment ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Time History ◽  
Experimental Tests ◽  
Coordinate Frame ◽  
Medical Evacuation ◽  
Post Process ◽  
Common Framework

Abstract Autonomous vehicle researchers need a common framework in which to test autonomous vehicles and algorithms along a realism spectrum from simulation-only to real vehicles and real people. The community needs an open-source, publicly available framework, with source code, in which to develop, simulate, execute, and post-process multi-vehicle tests. This paper presents a Mobility Virtual Environment (MoVE) for testing autonomous system algorithms, vehicles, and their interactions with real and simulated vehicles and pedestrians. The result is a network-centric framework designed to represent multiple real and multiple virtual vehicles interacting and possibly communicating with each other in a common coordinate frame with a common timestamp. This paper presents a literature review of comparable autonomous vehicle softwares, presents MoVE concepts and architecture, and presents three experimental tests with multiple virtual and real vehicles, with real pedestrians. The first scenario is a traffic wave simulation using a real lead vehicle and 3 real follower vehicles. The second scenario is a medical evacuation scenario with 2 real pedestrians and 1 real vehicles. Real pedestrians are represented using live-GPS-followers streaming GPS position from mobile phones over the cellular network. Time-history and spatial plots of real and virtual vehicles are presented with vehicle-to-vehicle distance calculations indicating where and when potential collisions were detected and avoided. The third scenario highlights the avoid() behavior successfully avoiding other virtual vehicles and 1 real pedestrian in a small outdoor area. The MoVE set of concepts and interfaces are implemented as open-source software available for use and customization within the autonomous vehicle community. MoVE is freely available under the GPLv3 open-source license at gitlab.com/comperem/move.

scholarly journals FLR: an open-source framework for the evaluation and development of management strategies

2007 ◽  
Vol 64 (4) ◽  
pp. 640-646 ◽  
Author(s):  
L. T. Kell ◽  
I. Mosqueira ◽  
P. Grosjean ◽  
J-M. Fromentin ◽  
D. Garcia ◽  
...  
Keyword(s):  
Open Source ◽  
Fisheries Management ◽  
Management Strategies ◽  
Development Effort ◽  
Mathematical Economic ◽  
Software Packages ◽  
Open Source Framework ◽  
Common Framework ◽  
Management Approaches ◽  
Modelling Methods

Abstract Kell, L. T., Mosqueira, I., Grosjean, P., Fromentin, J-M., Garcia, D., Hillary, R., Jardim, E., Mardle, S., Pastoors, M. A., Poos, J. J., Scott, F., and Scott, R. D. 2007. FLR: an open-source framework for the evaluation and development of management strategies. – ICES Journal of Marine Science, 64: 640–646. The FLR framework (Fisheries Library for R) is a development effort directed towards the evaluation of fisheries management strategies. The overall goal is to develop a common framework to facilitate collaboration within and across disciplines (e.g. biological, ecological, statistical, mathematical, economic, and social) and, in particular, to ensure that new modelling methods and software are more easily validated and evaluated, as well as becoming widely available once developed. Specifically, the framework details how to implement and link a variety of fishery, biological, and economic software packages so that alternative management strategies and procedures can be evaluated for their robustness to uncertainty before implementation. The design of the framework, including the adoption of object-orientated programming, its feasibility to be extended to new processes, and its application to new management approaches (e.g. ecosystem affects of fishing), is discussed. The importance of open source for promoting transparency and allowing technology transfer between disciplines and researchers is stressed.

scholarly journals Qualitative Analysis Using R: A Free Analytic Tool

2017 ◽  
Author(s):  
Samantha Estrada
Keyword(s):  
Qualitative Analysis ◽  
Open Source ◽  
Data Visualization ◽  
Quantitative Data ◽  
Statistical Data ◽  
Family Psychoeducation ◽  
Analytic Tool ◽  
Using Data

R (R Development Core Team, 2011) is a powerful tool to analyze statistical data. In recent years R has gained popularity because the software is free and open source. However, evaluators and researchers do not exclusively use quantitative data. It is possible to perform qualitative analysis in R. Using data from a case study exploring a family psychoeducation recovery course, this article provides users a tutorial on how to perform a qualitative analysis and data visualization using R.

scholarly journals STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES

2016 ◽  
Vol XLI-B3 ◽  
pp. 49-56
Author(s):  
G. Katai-Urban ◽  
V. Otte ◽  
N. Kees ◽  
Z. Megyesi ◽  
P. S. Bixel
Keyword(s):  
Image Processing ◽  
Camera Calibration ◽  
Camera System ◽  
Stereo Camera ◽  
Stereo Reconstruction ◽  
Point Set ◽  
The Creation ◽  
Fish Eye ◽  
Processing Steps

In this article a method for reconstructing atmospheric cloud surfaces using a stereo camera system is presented. The proposed camera system utilizes fish-eye lenses in a flexible wide baseline camera setup. The entire workflow from the camera calibration to the creation of the 3D point set is discussed, but the focus is mainly on cloud segmentation and on the image processing steps of stereo reconstruction. Speed requirements, geometric limitations, and possible extensions of the presented method are also covered. After evaluating the proposed method on artificial cloud images, this paper concludes with results and discussion of possible applications for such systems.

scholarly journals Creating reproducible dynamic reports using data from the Secure Anonymised Information Linkage (SAIL) Databank

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Ting Wang
Keyword(s):  
Open Source ◽  
Source Code ◽  
Highly Efficient ◽  
Large Numbers ◽  
General Practices ◽  
R Packages ◽  
Automate Documentation ◽  
Using Data

ABSTRACT Introduction/BackgroundR, an open source analytical software has gained wide popularity for its powerful statistical and graphical techniques, little known is that it also proves to be a fantastic tool for generating automated, content specific documentation using a combination of extensible packages (i.e. R markdown, Pandoc, MiKTex, Knitr). One such example of using these techniques is to create content specific PDF reports for the 300 plus general practices in Wales who are contributing data to the Secure Anonymised Information Linkage (SAIL) Databank. Objectives1). Create large number of automated PDF reports 2). Content specific to individual practice ApproachThis project aimed to facilitate the production of a large number of similar reports (tailored to specific recipients) by reducing the repetition and manual effort required. This was done by using a combination of packages in R to create scripts to automate the production of large numbers of tailored reports that capture the characteristics of each individual practice. ResultsThe output of this piece of work was a set of tailored reports for more than 300 Walsh general practices contributing data to the Secure Anonymised Information Linkage (SAIL) Databank up to 2015. The production of these reports was automated using a combination of R packages; the source code is flexible and can be applied to a range of contexts. ConclusionMethods described in this talk is highly efficient and easy to adapt to different context (e.g. automate documentation for metadata)

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