Archive for the ‘CoreLogic’ Category
Tuesday, December 19th, 2017
2017 tested the resilience of geospatial technologies with many natural disasters. In reviewing the year, we take a look at products, services and technologies that moved the industry forward and responded eloquently to geospatial need.
Disaster response, weather tracking, and predictive weather analysis drove a great deal of development and put to the test those technologies in place for just such eventualities.
Other areas of interest include new developments in sensors, location and Big Data, small sats, mobile mapping and 3D models for indoor mapping, autonomous driving, and building smart cities.
Under the Weather
In an interview with URISA’s GISCorps founder Shoreh Elhami and URISA executive director Wendy Nelson, they offer a broader understanding of what GISCorps is about and how it can help with natural disasters.
Is ArcGIS Online able to generate a setting for help, i.e., website, app, or whatever resource might be needed, during a natural disaster event? And how soon might that be available to the public?
ArcGIS Online (AGO) can be used to create a variety of story maps. Those story maps as well as any AGO based web apps can be embedded in any website and very quickly. A good example of that is the web app that our volunteers embedded in Fort Bend County’s website on road closures. Another example is a story map that was built by NAPSG shortly after the disaster, our volunteers also assisted with that project.
How has the GIS relief effort for Hurricane Harvey been handled by GISCorps so far and what are the plans going forward?
26 of our volunteers have been working on mapping road closures in Fort Bend County. The information originates from County’s website, emails, and also tweets. The Web app has been helpful to residents, first responders, and the county staff. The project was lead by two of our volunteers who worked with GISCorps Core Committee members on managing the project. The Center for Disease Control (CDC) also requested the assistance of a GIS programmer to pull data from the FEMA site on an ongoing basis. The GISCorps Recruitment team selected a volunteer within 30 hours and put the volunteer in contact with CDC. We also asked our volunteers to contribute to NAPSG story map. We are currently on stand-by and ready to assist with other projects at this time, be it for Harvey or Irma.
Hurricane Harvey weather map
How do the projects for Hurricane Harvey and Katrina differ or are they the same? What are the priorities?
Quite different. For Katrina, we deployed 30 volunteers onsite, the option to assist remotely didn’t even exist. Volunteers packed up their bags, laptops, and other essentials and head over to the affected areas within a couple of days. For Harvey (and many other disasters of the past few years), we haven’t had to send anyone anywhere. Volunteers work from their home or offices and have been effective in different ways. For Katrina, the priority was to help with the rescue efforts at first (locate people under stress and report to the coast guard) and then, the recovery phase began where volunteers made 100’s of maps and conducted lots of analysis). For Harvey, crowd sourcing and information from social media have become major sources of information for developing interactive maps to first responders and other affected population.]
Tom Jeffrey, CEO of CoreLogic, a leading global property information, analytics and data-enabled solutions provider, talked about their analysis for the flooding and storm surge as a result of Hurricane Harvey.
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Tags: #YII2017, ArcGIS, Bentley Systems, climate change, cloud, data, geospatial, GIS, Google Maps, hurricanes, imagery, indoor mapping, Infrastructure, intelligence, LiDAR, location, maps, mobile, NASA, reality modeling, satellite imagery, small sats, smartphones No Comments »
Thursday, August 31st, 2017
Front and center in the news right now is Hurricane Harvey and resulting devastation, which will most likely remain in the news for awhile.
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Tags: ArcGIS, climate change, cloud, CoreLogic, crowdsourcing, data, ESRI, FEMA, Hurricane Harvey, imagery, Infrastructure, intelligence, location, mapping, maps, NASA, satellite imagery No Comments »
Friday, July 8th, 2016
What was the most exciting attraction in the Exhibit Hall at the Esri User Conference 2016? Hard to say, as the 14,000+ attendees flocked to see the plethora of exciting exhibits from third party companies, and of course the numerous demonstrations of Esri products and services. Drones, imagery, field solutions, utilities, navigation, spatially enabled business apps, data management, all vied for an audience at the conference. Esri’s Drone2Map was a huge hit, and Collector for ArcGIS was a product that garnered an enormous amount of attention at its demonstrations and technical workshops, offering the promise of providing mapping to professionals in the field workforce that would in turn, improve the accuracy and currency of spatial data.
Esri’s Drone2Map
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Tags: cloud, data, DigitalGlobe, ESRI, geospatial, GIS, Google, Harris Geospatial, location, mapping, maps, mobile, remote sensing, SAP HANA, satellite imagery No Comments »
Saturday, July 2nd, 2016
The question: what do we do with all this data? Is one that really runs parallel with the theme of this year’s Esri User Conference held in San Diego, entitled, “GIS Enabling a Smarter World.”
Jack Dangermond, CEO and President of Esri
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Tags: ESRI, geospatial, GIS, intelligence, location, mapping, maps, mobile, NASA, National Geospatial Intelligence Agency, navigation, NOAA, remote sensing, satellite imagery, small sats, smartphones, USGS No Comments »
Tuesday, May 10th, 2016
GEOINT 2016 in Orlando next week is expected to be an exciting conference for the government sector.
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Tags: ArcGIS, Autodesk, Bentley, ESRI, GEOINT 2016, geospatial, GIS, intelligence, Intergraph, LiDAR, location, mapping, maps, National Geospatial Intelligence Agency, satellite imagery, small sats, social media No Comments »
Monday, December 14th, 2015
Hello Readers!
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Tags: ArcGIS, Autodesk, Bentley, climate change, cloud, crowdsourcing, data, ESRI, geospatial, GIS, Google Maps, GPS, imagery, Infrastructure, intelligence, Intergraph, LiDAR, location, mapping, maps, Microsoft, mobile, NASA, National Geospatial Intelligence Agency, NOAA, remote sensing, satellite imagery, smartphones, social media No Comments »
Thursday, December 10th, 2015
GISCafe
Editorial Calendar 2016*
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Tags: ArcGIS, Bentley Systems, climate change, cloud, crowdsourcing, data, ESRI, geospatial, GIS, Google, imagery, Infrastructure, intelligence, Intergraph, LiDAR, location, mapping, maps, National Geospatial Intelligence Agency, NOAA, USGS No Comments »
Tuesday, July 7th, 2015
Partnerships, unmanned spacecraft, technologies and sensors were some of the topics covered in a panel discussion and press luncheon held at GEOINT Symposium 2015 in Washington D.C. recently, by Northrup Grumman.
An E-2C test aircraft assigned to Air Test and Evaluation Squadron (VX) 20 conducts an aerial refueling dry-plug engagement with an F/A-18.
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Tags: Citysourced, climate change, cloud, crowdsourcing, geospatial, GIS, Google, imagery, Infrastructure, intelligence, LiDAR, location, mapping, mobile, NASA, National Geospatial Intelligence Agency, NOAA, Northrup Grumman, remote sensing, satellite imagery, USGS No Comments »
Monday, June 15th, 2015
Next week GISCafe will be flying to GEOINT 2015 Symposium held June 22-25 at the Walter E. Washington Convention Center in Washington, D.C.
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Tags: ArcGIS, Autodesk, cloud, crowdsourcing, data, ESRI, geospatial, GIS, Google, GPS, imagery, Infrastructure, intelligence, Intergraph, iPhone, LiDAR, location, mapping, maps, Microsoft, NASA, National Geospatial Intelligence Agency, NOAA, remote sensing, Safe Software, satellite imagery, social media, USGS No Comments »
Thursday, April 2nd, 2015
CoreLogic recently released new wildfire data, the CoreLogic Wildfire Risk Analysis, that states that nearly 900,000 single-family homes across 13 states in the western U.S. are currently designated at “High” or “Very High,” risk for wildfire damage, representing a combined total reconstruction value estimated at more than $237 billion. Of the total homes identified, just over 192,000 homes fall into the “Very High Risk” category alone, with total reconstruction cost valued at more than $49.6 billion. Other categories include “Moderate” and “Low” risk. GISCafe spoke with Dr. Tom Jeffery of CoreLogic to find out the scoop on this important new information for homeowners, insurance companies and other stakeholders.
Dr. Tom Jeffery: In the past we used what’s called the assessed property value which is based on tax assessment. We’ve actually changed that so it matches what we do with storm surge which is reconstruction value of these homes. This is going to be the cost of labor and materials in each of the different locations to replace the structure that would be lost in the event that a wildfire destroyed the whole thing. California is right at the top of the list, in most cases, because of wildfire risk throughout the state, but Colorado and Texas are also states that are usually ranked very high. They continue to do so through this report. There is one overarching factor that pops out whenever we do these reports. When we see results for the first time, we see how many homes are at risk in the total U.S. and what those values are. They are exceptionally high in those areas.
GISCafe Voice: What determines what states are ranked high?
TJ: Because you have large population centers in California, Texas and Colorado, and those urban areas that continue to grow, the pace of the growth is going to grow from year. All three of those states continue to have urban expansion and new homes constructed continue to push out into areas that have higher risk. There’s a lot of risk in those three states as well. A lot of people and a lot of risk is a combination that put those three to the top of the list.
GISCafe Voice: How do you assess the risk score?
TJ: The risk score itself is really based on several factors we combine, the first is the risk on the property, and that determines our categories of high, moderate high and very high, those determine the risk on the property. It’s based on what fuel is there, based on vegetation, if there’s change of terrain, if there’s a steep slop which enhances the risk, that determines the category. But for the score we actually want to look outside the property boundary to risk in close proximity to that property. So if you own a property maybe you have a nice manicured lawn, decorative trees, you don’t have any risk on the property. But just outside the boundary there could be a lot of chaparall in Southern California, for instance, a dense conifer or pine forest, in other areas. If that exists really close to your property that raises the risk value.
So we measure the distance from a property to what’s around it in terms of risk and then we add that to the category or risk on the property, and we add that to the score. The score is going to be 0-100 numeric-based and anything that’s 80 and above is extremely high risk. We have those broken out in the tables, so you can see even though if you look at the U.S. as a whole, there are going to be 192,000 properties that are listed as very high. And that’s looking at the risk on the property. As soon as we look at the score – and the score 81-100, we go from 192,000 all the way up to 1.1 million. So really those homes on the urban edge pushing out in to the wilder areas are the ones that the score is picking up and that’s why the scores are jumping from 192,000 to 1.1 million. It’s the homes that don’t have the risk within their borders and boundaries but have it just outside that are at most risk.
GISCafe Voice: What are insurance companies concerned with when they consult with you?
TJ: Most of those discussions with insurance company representatives revolve around mitigation, which is, how can homeowners reduce the risk on the property and which properties need that? More and more insurance companies have to write these policies and there are so many high risk policies they can’t ignore. What they’re trying to do more and more is identify the high risk properties, then identify ways they can talk to land and homeowners and clear brush around the homes, make sure it’s not a wood shake roof, all these things do to reduce the risk on higher risk. It helps homeowner in the long run because it’s less risk for their home, also helps insurance companies so they both benefit from things homeowners can do to reduce risk on property.
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Tags: CoreLogic, geospatial, GIS, Google, location, mapping, maps, mobile, wildfire risk analysis No Comments »
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