Category Archives: Spatial IT/GIS
Oriented Imagery in GIS: Unlocking Value From Unstructured Data
In an era defined by explosive data growth and rapidly expanding drone-based sensing, the geospatial community faces a new frontier: unlocking the value of unstructured imagery. Chad Lopez, a solutions engineer with Esri’s Imagery and Remote Sensing team, is at the forefront of this effort. In a recent interview, Lopez discussed how oriented imagery—raw photos...
The Cloud, The Edge, and the Beast
How are various platforms for processing and managing reality capture data best leveraged? The answer is a moving target, constantly evolving… for the better. There are sometimes strong views on reality capture (RC) processing approaches, particularly between cloud-based and local approaches. Recently, an acquaintance, a respected practitioner of high-profile RC projects, told me that he...
A Conversation With Spatial Storyteller, Pete Kelsey
Geospatial storytelling, geo-evangelism, and how to build the ultimate reality capture kit. By Pete Kelsey and Gavin Schrock, PLS The geospatial sector has a bona fide “geo celebrity”, and that distinction is well deserved. Pete Kelsey has been out there in the geo trenches with the rest of us for decades. Beginning with military service,...
Advancements in Parcel Mapping Tools – Part 1
Whether a parcel map is created for an engineering project, land development, valuation, tax assessment, land administration and management, for a subdivision, city, county, or whole country, the tools to create and manage them have dramatically improved.
Goodwill Mapping
As GISCorps celebrates two decades of voluntary map-making missions, we learn from their volunteers how sharing one’s GIS skills where they are needed can be a force for good.
The Future of Geospatial Data Demands a New Approach to Management
Geospatial data serves as the foundation for many mission-critical and time-sensitive applications, including Earth observation, location-based services, defense, population health, and more. However, geospatial data is not just one thing and can be quite heterogeneous, coming in many different forms including point clouds (e.g., lidar and sonar); polygons (e.g. buildings and areas of interest), and...