Between the Poles: LocationTech attracts open source geospatial projects for managing "big spatial data"

Geoff Zeiss

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Gene Roe's laser scanning industry news
Open Source Geospatial Foundation OSGEO
OSGeo was created to support the collaborative development of open source geospatial software and promote its widespread use
Proven guidelines for reducing underground infrastructure damage at airports, university, industrial, and commercial campuses, and towns
There are proven measures that an administration, owner, or municipal government responsible for an airport, university, industrial or commercial campus, or town can undertake to reduce the risk of underground utility damage, the associated disruptions to operations and business and the danger for workers and the public.
Sharing information about the location of underground utilities
The U.S. devotes an estimated $10 billion annually to locating underground infrastructure. Every construction project requiring excavation involves significant efforts in locating underground utilities prior to and during construction to reduce the risk of injuries and unexpected project delays. But this information is rarely shared and the location of underground infrastructure is recaptured over and over again. There are successful examples around the world where municipal and regional governments have helped enable a shared underground utility network database.
Growing evidence of the benefits of an integrated BIM+geospatial full lifecycle approach to construction
Building information modeling (BIM) has been applied to design-build construction projects for many years. A growing number of countries are mandating BIM for public projects. While the UK government has said that "...we know that the largest prize for BIM lies in the operational stages of the project life-cycle", until recently there has not been hard data to support this conjecture. Similarly there has been only anecdotal support for an integrated BIM and geospatial approach for design, build, operate and maintain projects. Now we are beginning to see data from real world projects that offer evidence for the benefits of an integrated BIM+geospatial full lifecycle approach for construction projects.
Progress in geospatial, civil, and BIM interoperability promises efficient workflows for infrastructure
The BIM and geospatial interoperability challenge is the latest symptom of the broader problem of integrating AEC and geospatial workflows, that has contributed to low productivity in the construction sector. After the announcement about a year ago by Jack Dangermond and Andrew Anagnost of a new relationship to build a bridge between Autodesk and ESRI technologies, I thought it a good time to review progress toward interoperability between the AEC and geospatial worlds.
Geography2050: Accurate location information about underground infrastructure is essential for powering our future planet
I thought it would be worth while to include here a talk I gave at GEOGRAPHY 2050 Powering Our Future Planet at Columbia University in New York about the importance of accurate location information about underground infrastructure for the future development of the energy grid. With some notable exceptions accurately recording the location of subsurface infrastructure including oil, gas, electric power and other energy infrastructure is ignored - perhaps this is a case of out-of-sight is indeed out-of-mind. The reality is that knowing the location of underground energy infrastructure is critical for national security, for disaster planning and management, for public safety and for economic efficiency. Everyone is aware of at least one disaster resulting from or exacerbated by not knowing where our energy infrastructure is - the explosions in San Bruno in California (2010) and Belgium (2004) immediately come to mind.
Deep learning enables automated extraction of building footprints and road networks from satellite imagery
Automated feature extraction from satellite imagery has made major progress in the last year. Accurate building footprints extracted from high resolution satellite imagery are becoming available from companies such as Ecopia, which has just announced a partnership with DigitalGlobe, whose satellites are capable of 30 cm (approximately one foot) resolution. Also NVIDIA has demonstrated the ability to automate detection of many road networks using sophisticated algorithms and multi-spectral high resolution imagery.
BIM + geospatial interoperability would avoid another CAD + GIS quagmire
A specific challenge currently facing the AEC and geospatial industries is integrating building information models (BIM) and geospatial infrastructure and building models. There are parallels between what happened in the 1990s in unsuccessfully addressing CAD+GIS interoperability and the current challenge of BIM+geospatial interoperability. But there are also important differences which provide grounds for optimism that the availability of both BIM and geospatial standards, a vibrant open source geospatial community, and a new willingness on the part of major software players in the BIM and geospatial industries will make it possible to successfully address the latest interoperability challenge facing the AEC (architecture, engineering and construction) and geospatial industries.
BVLOS drones improve power line inspections amid increasing fire and storm risks for utilities | Utility Dive
Transmission line inspections for vegetation management and other purposes are essential in ensuring grid reliability and resilience. We saw the devastating effect of vegetation encroachment in the recent California fires, which in part have been blamed on failure to maintain properly cleared transmission lines. With drones that can cover great distances in a single flight and provide detailed and accurate aerial imagery of transmission lines and other infrastructure, it is now possible to almost completely automate this expensive process. Automating transmission line inspections for vegetation management using BVLOS drones not only saves money, but also could improve the resiliency and reliability of the transmission grid.

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October 23, 2013

LocationTech attracts open source geospatial projects for managing "big spatial data"

I blogged earlier about Google joining LocationTech as a strategic member (together with IBM, Oracle, Boundless( was OpenGeo), and Actuate).

After lining up key strategic members, the next step was to attract open source geospatial projects which wanted to take advantage of the governance and intellectual property services including commercially friendly licensing that LocationTech/Eclipse provides. LocationTech has recently received a number of project proposals that will put LocationTech on the leading edge of open source geospatial development.

SpatialHadoop

Hadoop provides scalable processing for huge datasets by using MapReduce, a programming paradigm for distributed processing, to build an efficient framework for processing large-scale data. SpatialHadoop is an extension to Hadoop that allows efficient processing of "big spatial data".

GeoMesa

Accumulo is a robust, scalable, high performance data storage and retrieval system based on Google's BigTable design and built on Hadoop. GeoMesa provides a foundation for storing, querying, and transforming spatio-temporal data in Accumulo. It implements Geotools interfaces that enable Geoserver and other Geotools related projects to use Accumulo as a data store.

GeoTrellis

GeoTrellis is a general framework for low-latency geospatial data processing developed using Scala and Akka. GeoTrellis was designed to solve three core problems, initially for raster processing, scalable, high performance geoprocessing web services; distributed geoprocessing services for large data sets; and arallelizing geoprocessing operations to take full advantage of multi-core architectures.

GeoGit

I blogged about this recently because it is a project to develop distributed long transactions for geospatial data.

GeoGit is a distributed version control system specially designed to handle geospatial data efficiently. It takes inspiration from the source code versioning system Git, but has an approach suited to spatial data (currently Shapefiles, PostGIS, MS SQLServer, or SpatiaLite.) GeoGit efficiently handles very large binary data and is optimized for spatial data using a spatial index.

JTS Topology Suite

The JTS Topology Suite (JTS) is an open source Java software library that provides an object model for planar geometry together with a set of fundamental geometric functions. JTS conforms to the Simple Features Specification for SQL published by the Open GIS Consortium. JTS provides the core component for vector-based geomatics software or can be used as a general-purpose computational geometry library.

Geoff (Geo Fast Forward)

Geoff is intended to enable existing Eclipse Rich Client Platform (RCP) applications to integrate into the geospatial domain using lightweight components to visualizing geospatial information on a geographical map embedded in the RCP applications.

GeoScript

GeoScript adds spatial capabilities to dynamic scripting languages. GeoScript provides a collection of modules based on the Geotools library for geometry handling, spatial data access, and vector feature rendering. GeoScript is currently implemented in Groovy, JavaScript, Python, and Scala.

Posted at 09:30 AM in Big data, Data versioning, Geospatial IT, Geospatial Open Source, Long transactions, Open Source Geospatial, Sharing Spatial Data, Spatial analytics, Spatial Data, Spatial Databases | Permalink

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Between the Poles

Geoff Zeiss

May 2023

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October 23, 2013

LocationTech attracts open source geospatial projects for managing "big spatial data"

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