01/13/10–The recent devastating earthquake centered near Port-au-Prince in Haiti has lots of GIS responders scrambling for data and other information. As a quick start, the Bing Maps aerials provide a pre-quake substrate for other data and analysis.
We also found this recently posted Web app by searching for “haiti.”
The application shows the locations of the earthquake and related aftershocks.
Visit ESRI’s disaster response and assistance site to request help and locate other resources or to contact the ESRI Disaster Coordination team.
This morning we awoke to the local news and reports of a big quake near Tonga, and also a couple of other sizable quakes near Sacramento. So we thought this might be a good excuse to explore several ways you can look at earthquake information using ArcGIS Explorer.
First, we went to the USGS earthquake site where we found a variety of earthquake information available in a number of different formats. As we looked at things we noticed that (as usual) there’s a lot of activity in Alaska and along the Kenai Peninsula. While we could have viewed things on the globe, we toggled ArcGIS Explorer to 2D mode then set our map projection to UTM Zone 6.
We first took a look at the KML found on the USGS site in Explorer.
We found a link to a time series KML in the popup window of the above KML, and took a look at that. Here we’ve pulled out the Explorer time slider to show the entire date range from 2007 to current.
Next we downloaded the .csv file, and added it to ArcGIS Explorer using Add Content, then choosing text files. By adding from the .csv file we could choose from a variety of attributes to display in the popup window.
Using the same text file from above we opened it in ArcCatalog as a feature class, creating a shapefile, and set the projection to WGS84 (the same as the input lat/long coordinates).
In ArcMap we used graduated symbols to show the quake events in different sizes and colors. Using the layer properties we turned off some fields and created aliases for others, then toggled on the HTML popup property. And then we exported it as a layer package which we added to ArcGIS Explorer.
And finally we connected to the GeoRSS feed to view the dynamic live feed from the USGS.
So that makes 5 ways that we used the data available from the USGS.
9/22/09–In disaster response work, a common challenge is to quickly gather data and accurately fuse it together to provide actionable information for those managing the emergency and related relief efforts. Properly trained emergency planners can use spatial information to implement measures, such as, establishing communications sites, restoring electrical power, and planning traffic routes to carry emergency supplies to critical facilities. Often, specific locally-stored datasets are not available to accommodate every possible contingency that may arise in disaster operations. In these cases, freely available content from ArcGIS Online can be used to help support these disaster response efforts. For example, demographic data from ArcGIS Online was recently used to create a map of the wildfires that affected southern California.
Below are a sample of the maps and data that are available through ArcGIS Online that can be used to support disaster response efforts:
See esri.com for more information on disaster response and assistance.
See ArcGIS Online Help for information on the conditions for external use of ArcGIS Online content during a disaster.
Well, we were sitting around this evening wondering what our first post for 2009 would be, when the answer came in the form of a little roller coaster ride, thanks to an earthquake whose epicenter was just 6 miles from ESRI. We’ve covered earthquakes here on the blog plenty of times before, so we thought we’d do something a little different and take a look at the USGS earthquake data in 3 different ways as it’s published at the USGS site.
First we viewed the GeoRSS feed. The connection was already stored in our list of connections since we’ve used that GeoRSS feed before. We just opened up the connection by choosing File > Open, and then choosing Servers in the Open Content dialog. Once we did, we could just scroll down the list of our remembered connections to find the quake feed to view it.
The feed displays all the quakes greater than magnitude 2.5 over the past day. We also used Find Address to locate ESRI, and used Measure to determine the distance from ESRI to the epicenter of the quake, which was just under 7 miles.
Next we opened the KML published on the USGS site showing all quakes greater than 1.0 in magnitude over the past 7 days. Note the display overlay in the upper left that came along with the KML, and the small aftershock (1.7 magnitude) located within a half mile of the initial temblor.
Finally we opened the USGS quake data delivered as a comma-delimited text file. We clicked on its link at the USGS site to view it in a browser, and this is what we saw:
We saved the file out as a text file, and took a look at it using Notepad. The first line in the file had field names, which was just perfect, but we had to do some minor edits to pull in the information the way we wanted. We removed quotation marks (using a global search and replace with a space) from around a combined day/date/time field, and added the extra field names to match the new formatting on the first line. We saved the file, then chose Tools > Import File to open the file import wizard.
In the first dialog we just accepted the defaults. Note the data preview panel at the bottom of this dialog which shows us how the text file is being parsed. This was especially useful since we could verify that we correctly made the edits to the file mentioned above.
After clicking Next, in the following dialog we again accepted all the defaults (the latitude and longitude fields were already found, since they had been named “lat” and “lon” in the text file) and chose “Magnitude” as the title field (so we could view it as we hovered over the location with our mouse) and “Region” as the description field.
Then we chose a symbol, and here’s our map with the quake information imported from the text file.
This file contains all the magnitude 1.0 or greater quakes for the last day, and you can see there’s been lots of activity in southern California during that time period.
Yesterday nearly 5 million Californians living near the San Andreas fault participated in an earthquake disaster preparedness drill called the ShakeOut, which we mentioned in our post yesterday. The earthquake scenario included a 7.8-magnitude earthquake along a 190-mile stretch of the fault starting at the Salton Sea and stretching northwest.
To understand the demographics of the most impacted areas in the scenario, we opened the USGS earthquake simulation shake intensity map (published as a KML) and added it to Explorer. Here’s the view of the quake intensity map looking north along the southern California Coast. The red areas are the areas with the highest predicted intensity.
We used the Business Reports task (powered by ESRI’s Business Analyst Online), available on the Explorer Resource Center, to delineate the boundary around the highest intensity areas. We used that boundary to generate the report, shown here:
The graphic demographic profile is the one we chose, and there are many different kinds of reports to choose from (some are free, some require a subscription). The report showed that over 6 million households are located in the high intensity area, roughly evenly distributed by age and income, with %50 of the owner occupied homes having a value greater than $400,000, and %40 having a value of greater than $500,000.
Today at 10:00 a.m. PST marked the official beginning of the Great California ShakeOut. According to the Great Southern California ShakeOut site site the event will bring together millions of people throughout Southern California in the ShakeOut drill, the largest earthquake preparedness activity in U.S. history. The scenario depicts a magnitude 7.8 quake striking the southern San Andreas fault, and stretching north 190 miles.
One of the event sponsors is the USGS, and according to the USGS ShakeOut site the earthquake would kill 1,800 people, injure 50,000, cause $200 billion in damage, and have long-lasting social and economic consequences. The USGS site includes content and a list of resources that you can use to find data for use with ArcGIS Explorer.
We followed links at the USGS site to the USGS Land Cover Institute site where we downloaded a geotiff of the Southern California landcover from the USGS Seamless Server. The landcover shows urbanized areas, and so is an indicator of population.
We added the NLCD data to our map by going to File > Open, then choosing Rasters as our content type and adding the file we’d just downloaded. We adjusted the transparency of this layer a bit by highlighting it in the contents, and then right-clicking to choose the transparency tool.
This newly added layer was on top of others in our contents, and to add some additional context we moved the transportation layer on top using Manage Layers (Tools > Manage Layers).
Here’s what our greater Redlands, California, area map looked like.
Next, we connected to the USGS earthquake magnitude 2.5 and greater GeoRSS feed. To do this we went to the USGS earthquake feeds site, and looked for the list of feeds.
We clicked the link for M 2.5+ earthquakes over the past 7 days and copied the URL. We added this feed to our map by going to File > Open and choosing Servers. At the top we clicked the GeoRSS connection, and pasted the URL into the Server input.
After we added the feed to our map, we discovered that on this ShakeOut day we’ve had a couple of recent temblors. Opening the popup on the feed event we can obtain additional information from the USGS site, and discover that the closest quake was a 2.8 just southeast of ESRI that took place last night shortly after 11:00 p.m.
Cyclones in Myanmar. Fires in Florida. Earthquakes in China. Timely information is critical for learning about events as they happen, and subsequently how to respond and what to do in their aftermath. One of the ways that timely geographic information is published is via GeoRSS feeds.
In the upcoming Explorer 480 release GeoRSS feeds are one of the supported connections, joining ArcGIS Server, ArcIMS, and WMS.
Here we’ve connected to the USGS Shake Map feed, and we’re showing the popup content for the 7.9 quake that hit China on Monday, May 12.
Below we’ve connected to another USGS GeoRSS feed publishing all the magnitude 5+ quakes worldwide. Again we’re in China, in the vicinity of the disastrous 7.9 quake. You can see the strong aftershocks that followed the original temblor.
Just about 15 minutes ago, as the Explorer team was winding down from a series of meetings this week in a 3rd floor conference room, we felt the building shake – an earthquake!
This was a relatively minor one, only a 3.1 according to the USGS, but it was interesting to learn that its epicenter was located only 3.5 miles away from where we sat. We visited the USGS site, clicked the earthquake KML, and discovered that it was located 2.8 miles below what looks like the 3rd hole at the Redlands Country Club.
Here’s a map showing the location of ESRI and the earthquake epicenter from the USGS, and the distance derived using Explorer’s measure task. The quake information was updated on the USGS site just a few minutes from when we felt it.
The yellow dots are recent, but minor, quakes in the same area, the largest of which were a 2.1 and 2.2 that happened just a couple of days ago. Hmmm…
Last week we blogged about the first two parts of a four-part post on exploring the New Madrid seismic zone with ArcGIS Explorer. The final two chapters of the post have been completed, and are posted on the ESRI GIS Education Community blog.
Part 1 and Part 2 of a four-part blog post featuring the use of ArcGIS Explorer for taking a closer look at the New Madrid Seismic Zone have been published on ESRI’s GIS Education Community Blog. Posted by George Dailey, ESRI Education Manager, it’s a great example of discovering and aggregating a variety of data and using Explorer to… well… explore!
Stay tuned for Parts 3 and 4.