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Archive for the ‘reality modeling’ Category

GISCafe Industry Predictions 2020 – Part 6

Friday, February 7th, 2020

This is our final installment of Industry Predictions for 2020. Topics this week include satellites, Cloud for geospatial applications, data storage, data sentience, data sovereignty, growth, location, mapping fleets and much more.

Representatives from CubeWerx, DataCapable, T-mapy, GeoSapient, Inc. and Mapillary offer their insights into the industry and trends for the future.

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GISCafe Industry Predictions 2020 – Part 5

Thursday, January 30th, 2020

GISCafe Industry Predictions for 2020 move forward into February. Topics covered this week are cloud-based asset management systems, artificial intelligence, smart cities, citizen science, open source mapping and data, GNSS advancements, big spatial data analytics, drone industry, enterprise scale and dashboards and data visualizations.

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GISCafe Industry Predictions 2020 – Part 4

Thursday, January 23rd, 2020

We have received an overwhelming response to our request for Industry Predictions for 2020. This demonstrates that many people are thinking ahead to ways to make GIS and geospatial technology better and more productive in the coming year and beyond.

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GISCafe Industry Predictions 2020 – Part 3

Friday, January 17th, 2020

We’re coming down the home stretch with our GISCafe Industry Predictions, so if you haven’t sent yours in, please feel free to do so until January 20th, for inclusion in a series of editorial articles to be published in January. This article is the third installment of those articles.

 

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GISCafe Industry Predictions 2020 – Part 2

Friday, January 10th, 2020

Every January GISCafe Voice publishes blogs of industry predictions from our readers. This is the second installment of those predictions. This year we have extended the deadline for submissions to January 14th for entries.

 

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GISCafe Year In Review 2019

Thursday, December 19th, 2019

The year in review is defined in large part by what drives the technology sector. Natural phenomenon such as fires and floods, earthquakes and hurricanes require continual vigilance to be able to record, predict, respond to and recover from. The effort of Digital Cities is an effort to maintain cities in a more efficient manner, with heightened emphasis on people and data.

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Smart City Initiatives Using Digital Twins

Friday, December 13th, 2019

According to ABI Research, 500 smart cities will have digital twins by 2025. Currently the cities of Boston, New York, Singapore, Stockholm, Helsinki, Jaipur, Newcastle and Amaravati have deployed digital twins.

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OrbitGT Acquired by Bentley Systems

Thursday, October 31st, 2019

Belgian company Orbit Geospatial Technologies (Orbit GT), specialists in 3D and mobile mapping, was recently acquired by Bentley Systems at the Bentley Year In Infrastructure 2019 thought leadership conference in Singapore.

Singapore Smart Nation

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Bentley Year In Infrastructure 2019 Offers GIS Refresh

Thursday, October 24th, 2019

Each year at the Bentley Year In Infrastructure thought leadership conference brings a new dimension to digital workflows. Digital Twins were definitely the order of the day this year, and mobile mapping and some other technologies taking front and center stage in the form of acquisitions.

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GISCafe Special Report Questionnaire: Drones for GIS Mapping

Friday, September 6th, 2019

The FAA estimates that there will be nearly half a million registered commercial use drones in the U.S. by 2022 (FAA 2018 – 2038 Aerospace Forecast).

Drones in construction

Drones, or UAVs or UAS, are being used in the GIS industry for such purposes as military surveillance, real estate, searching for hurricane activity, search and rescue missions, public health and safety, agriculture and in construction and countless other industries. In some cases, drones can provide greater resolution than satellite imagery. Their size and affordability makes them a valuable choice for scientists, power companies, surveyors, military actions and civilians and many others. They are also environmentally friendly and provide a low-cost option for gathering valuable data that can then be fed into a GIS.

Since drones can autonomously collect a vast range of data they are appealing to many use cases. Besides, they are light-weight and high performance. Satellite imagery has provided remote sensing data for mapping, but can often display low fidelity or limited visibility from cloud cover. High precision and accuracy can be achieved with aerial imagery, with planes equipped with high tech remote sensors. Photogrammetry, which makes use of overlapping photos to identify exact measurements between objects, is a useful way of gathering accurate models.

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University of Denver GIS Masters Degree Online
Reality Modeling



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