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Showing posts with label first. Show all posts
Showing posts with label first. Show all posts
An Unprecedented Look at Stuxnet the World’s First Digital Weapon
from The Universal Machine http://universal-machine.blogspot.com/
System Development Corporation the worlds first software company
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My colleague, Bob Doran, brought this video to my attention about System Development Corporation - arguably the worlds first software company.
from The Universal Machine http://universal-machine.blogspot.com/
Put the internet to work for you.
How the Worlds First Computer Was Rescued From the Scrap Heap
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| An ENIAC technician changes a valve Wired recently published an article on how Ross Perot decided to rescue ENIAC "one" of the worlds first computers (theyre not strictly speaking correct to call ENIAC "the first" computer). Read about this fascinating story here. |
from The Universal Machine http://universal-machine.blogspot.com/
Put the internet to work for you.
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Stuxnet the first digital weapon
from The Universal Machine http://universal-machine.blogspot.com/
Put the internet to work for you.
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This day in history the first tweet
from The Universal Machine http://universal-machine.blogspot.com/
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Celebrating the First Set of Google Geo Education Awardees and Announcing Round Two
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Googles GeoEDU Outreach program is excited to announce the opening of the second round of our Geo Education Awards, aimed at supporting qualifying educational institutions who are creating content and curricula for their mapping, remote sensing, or GIS initiatives.
If you are an educator in these areas, we encourage you to apply for an award. To celebrate the first round of awardees, and give a sense of the kind of work we have supported in the past, here are brief descriptions of some of our previous awards.
Nicholas Clinton, Tsinghua University
Development of online remote sensing course content using Google Earth Engine
Nick is building 10 labs for an introductory remote sensing class. Topics include studying electromagnetic radiation, image processing, time series analysis, and change detection. The labs are being taught currently, and materials will be made available when the course has been completed. From Lab 6:
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| Lets look at some imagery in Earth Engine. Search for the place Mountain View, CA, USA. What the heck is all that stuff!? We are looking at this scene because of the diverse mix of things on the Earth surface. |
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| Add the Landsat 8 32-day EVI composite. What do you observe? Recall that the more vegetative cover the higher the index. It looks like the "greenest" targets in this scene are golf courses. |
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| Lets say we dont really care about vegetation (not true, of course!), but we do care about water. Lets see if the water indices can help us decipher our Mountain View mystery scene. |
Dana Tomlin, University of Pennsylvania
Geospatial Programming: Childs Play
Dana is creating documentation, lesson plans, sample scripts, and homework assignments for each week in a 13-week, university-level course on geospatial programming. The course uses the Python computer programming language to utilize, customize, and extend the capabilities of three geographic information systems: Google’s Earth Engine, ESRI’s ArcGIS, and the open-source QGIS.
Declan G. De Paor, Old Dominion University
A Modular Approach to Introducing Google Mapping Technologies into Geoscience Curricula Worldwide
Declans award supports senior student Chloe Constants who is helping design Google Maps Engine and Google Earth Engine modules for existing geoscience coursework, primarily focused on volcanic and tectonic hazards, and digital mapping. Declan and Chloe will present the modules at faculty development workshops in person and online. They see GME/GEE as a terrific way to offer authentic undergraduate research experiences to non-traditional geoscience students.
Mary Elizabeth Killilea, New York University
Google Geospatial Tools in a Global Classroom: “Where the City Meets the Sea: Studies in Coastal Urban Environments"
Mary and the Global Technology Services team at NYU are developing a land cover change lab using Google Earth Engine. NYU has campuses around the world, so their labs are written to be used globally. In fact, students in four campuses around the globe are currently collecting and sharing data for the lab. Students at their sites analyze their local cities, but do so in a global context.
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| One group of students used Android mobile devices to collect land use data in New Yorks Battery Park. |
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| While others in the same course collected these points in Abu Dhabi. Upon collection, the observations were automatically uploaded, mapped, and shared. |
Scott Nowicki and Chris Edwards, University of Nevada at Las Vegas
Advanced Manipulation and Visualization of Remote Sensing Datasets with Google Earth Engine
Scott and Chris are taking biology, geoscience, and social science students on a field trip to collect geological data, and are generating screencast tutorials to show how these data can be queried, downloaded, calibrated, manipulated and interpreted using free tools including Google Earth Engine. These tutorials may be freely incorporated into any geospatial course, and all the field site data and analyses will be publicly released and published, giving a full description of what features are available to investigate, and how best to interpret both the remote sensing datasets and ground truth activities.
Steven Whitmeyer and Shelley Whitmeyer, James Madison University
Using Google Earth to Model Geologic Change Through Time
Steven and Shelley are building exercises for introductory geoscience courses focusing on coastal change, and glacial landform change. These exercises incorporate targets and goals of the Next Generation Science Standards. They are also developing tools to create new tectonic reconstructions of how continents and tectonic plates have moved since Pangaea breakup. Some of the current animations are available here and here.
We hope this overview of previous award recipients gives you a sense for the range of educational activities our GeoEDU awards are supporting. If you are working on innovative geospatial education projects, we invite you to apply for a GeoEDU award.
Where were the worlds first computer animations produced
from The Universal Machine http://universal-machine.blogspot.com/
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The first detailed maps of global forest change
Most people are familiar with exploring images of the Earth’s surface in Google Maps and Earth, but of course there’s more to satellite data than just pretty pictures. By applying algorithms to time-series data it is possible to quantify global land dynamics, such as forest extent and change. Mapping global forests over time not only enables many science applications, such as climate change and biodiversity modeling efforts, but also informs policy initiatives by providing objective data on forests that are ready for use by governments, civil society and private industry in improving forest management.
In a collaboration led by researchers at the University of Maryland, we built a new map product that quantifies global forest extent and change from 2000 to 2012. This product is the first of its kind, a global 30 meter resolution thematic map of the Earth’s land surface that offers a consistent characterization of forest change at a resolution that is high enough to be locally relevant as well. It captures myriad forest dynamics, including fires, tornadoes, disease and logging.
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| Global 30 meter resolution thematic maps of the Earth’s land surface: Landsat composite reference image (2000), summary map of forest loss, extent and gain (2000-2012), individual maps of forest extent, gain, loss, and loss color-coded by year. Click to enlarge |
Key to the study’s success was the collaboration between remote sensing scientists at the University of Maryland, who developed and tested models for processing and characterizing the Landsat data, and computer scientists at Google, who oversaw the implementation of the final models using Google’s Earth Engine computation platform. Google Earth Engine is a massively parallel technology for high-performance processing of geospatial data, and houses a copy of the entire Landsat image catalog. For this study, a total of 20 terapixels of Landsat data were processed using one million CPU-core hours on 10,000 computers in parallel, in order to characterize year 2000 percent tree cover and subsequent tree cover loss and gain through 2012. What would have taken a single computer 15 years to perform was completed in a matter of days using Google Earth Engine computing.
Global forest loss totaled 2.3 million square kilometers and gain 0.8 million square kilometers from 2000 to 2012. Among the many results is the finding that tropical forest loss is increasing with an average of 2,101 additional square kilometers of forest loss per year over the study period. Despite the reduction in Brazilian deforestation over the study period, increasing rates of forest loss in countries such as Indonesia, Malaysia, Tanzania, Angola, Peru and Paraguay resulted in a statistically significant trend in increasing tropical forest loss. The maps and statistics from this study fill an information void for many parts of the world. The results can be used as an initial reference for countries lacking such information, as a spur to capacity building in such countries, and as a basis of comparison in evolving national forest monitoring methods. Additionally, we hope it will enable further science investigations ranging from the evaluation of the integrity of protected areas to the economic drivers of deforestation to carbon cycle modeling.
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| The Chaco woodlands of Bolivia, Paraguay and Argentina are under intensive pressure from agroindustrial development. Paraguay’s Chaco woodlands within the western half of the country are experiencing rapid deforestation in the development of cattle ranches. The result is the highest rate of deforestation in the world. Click to enlarge |
If you are curious to learn more, tune in next Monday, November 18 to a live-streamed, online presentation and demonstration by Matt Hansen and colleagues from UMD, Google, USGS, NASA and the Moore Foundation:
Live-stream Presentation: Mapping Global Forest Change
Live online presentation and demonstration, followed by Q&A
Monday, November 18, 2013 at 1pm EST, 10am PST
Link to live-streamed event: http://goo.gl/JbWWTk
Please submit questions here: http://goo.gl/rhxK5X
For further results and details of this study, see High-Resolution Global Maps of 21st-Century Forest Cover Change in the November 15th issue of the journal Science.
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