We’ve shown you a lot from George at MyReadingMapped over the years, and he’s back with another one. This project is called the “Google Map of Geology”, and George describes it as follows:
My latest project is a Google Map of Geology which matches up examples of faults, eskers, monadnocks, folds, fabric, depressions, roof pendants, rift valley, kettles, hoodoos, and the like, that can be seen in Google Map and Google Earth with their geologic terminology. I was surprised to discover that much of the details like stratum, joints, lava field fissures, dykes, talus, etc. can actually be seen in a satellite image and that a specific rock the size of a tor can be plotted.
DigitalGlobe is one of the leading providers of satellite imagery for Google Earth, and now they’re teaming up with the World Resources Institute to track fires across southeast Asia via their new Global Forest Watch Fires system.
Nigel Sizer, global director of the World Resource Institute’s Forests Program, said, “With DigitalGlobe’s imagery, you can see down to the individual tree level and even identify species. DigitalGlobe imagery is processed as color-infrared, enabling WRI to quickly distinguish between healthy and dead vegetation, draw burn area boundaries, and detect burn scars in order to assign accountability to the fires.”
It’s a great way to use DigitalGlobe’s impressive ability to capture imagery to make a difference in the world.
Urban agriculture can be a great thing, but can be difficult to effectively plan and manage. Flavio Lupia, along with other researchers from the National Institute of Agricultural Economics in Rome have been making great use of digital mapping tools to help research and plan ideal locations around the city.
You can read more about their work in this PDF document, which goes into detail about their work, such as:
The current version of the database contains more than 4,000 polygons spread over a total surface of about 35,000 hectares with a total farmed area of 400 hectares. The geodatabase was realized by interpreting the high resolution images of Google Earth for the year 2007 and 2013 allowing further analysis on the temporal evolution of the phenomenon.
Beyond that, here are some additional thoughts from Flavio:
Despite in Italy there are some private and governamental bodies producing regularly very high resolution aerophotogrammetric scenes the restriction and policy distribution of the data don’t allow researchers to perform this kind of analysis.
Although in Italy, especially during the last year, the concept of open-data is becoming more and more common this is still a theoretical idea since public administrations have releases very few geospatial data.
GE allows to perform the photointerpretation process, the digitalization and the multi-temporal analysis with an easy to use single tool.
The entire mapping project employed only human resources (researcher for the photointerpretation), no costs for tools and images acquisition and pre-processing thanks to GE.
Even if the radiometric and spatial resolution of the GE imagery are lower than those provided by the Italian public bodies, the researchers demonstrated the fitness-for-use of GE for mapping urban agriculture. The images are sufficient to discover cultivated parcels as small as 8 square meters in size and allow to photointerpreters to use all visual element to identify cropping activities (tone, color, texture, pattern, etc.).
Since 2011 GSV report the timestamp in the GE status bar. This helped researchers to have a clear idea about the acquisition time during the “virtual field check”. Nonetheless some limitations in the usability of GSV exist: 1.the temporal mismatch between GE imagery used for parcels identification (year 2013) and GSV (2011-2012). 2.the temporal variation among the single images of GSV, in fact scenes acquired in different times are woven together to form a continuous coverage along the streets (in our study area we found GSV images acquired in 2011 and 2012).
It’s an excellent use of Google Earth, and it should help result in great things for the city of Rome.
As you can see in the tour, the landing that Armstrong made was remarkable. With very little fuel, he had to carefully maneuver the ship into a gentle landing. Paul van Dinther created a game to simulate the landing that he calls the Apollo 11 Moon Lander. The game is very fun, and quite challenging – here is a review written by Frank when it was released. In the years since then, Paul has updated the game with some new graphics, Facebook integration and bug fixes. You can also watch this short video of the game in action:
We’ve talked about Earthquakes quite a lot over the years, as Google Earth is a great tool for visualizing those types of events. However, we’ve not shown very much related to the actual fault lines themselves.
Ervin Malicdem at S1 Expeditions recently took a look at the West and East Valley Fault System in the southern Philippines. The fault line is growing in interest for a simple reason that Ervin explains:
The last known activity along this fault line was the year 1658 and is estimated to be active every 300 years plus or minus 100 years. As of the time of this writing, it has been 356 years ago and is well within the potential period of its movement.
He has created an excellent overlay that shows the fault line in comparison to infrastructure along the path of it.
The USGS also has some solid fault line maps that you can use in Google Earth. If you visit their Quaternary Faults in Google Earth page, you’ll find a variety of KML files that you can download and explore in Google Earth.