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Nashville Tornadoes

Listening to NPR while driving to work this morning, I heard interviews with survivors of the recent tornadoes. Some of them were from the Nashville area and I was just yesterday processing air photos from that area (taken in March 2007). I pulled the XY locations of the reported tornadoes from the NOAA storm prediction center and intersected them with the mosaics that I made yesterday.

Sure enough, six of the touchdowns were within the extent of coverage. The images from this air photo campaign are currently in transit (I dropped them at FedEx last night) from our Tampa office to our Portland office where they will be uploaded to WeoGeo. I’m going to ask our guys on that end to prioritize these so that they are available ASAP. I hope that they will be helpful in the disaster recovery efforts.

Update:

The Static URIs for each of the files above are here:

‘BNA18_19_9_10_p_m.tif’
http://www.weogeo.com/#/original_data_map/1a66f4653bde7c7e4f94e3cf83222556
‘BNA2_3_29_30_p_m.tif’
http://www.weogeo.com/#/original_data_map/2e88af64d93b53bb9b67a0b926f76598
‘BNA4_5_27_28_p_m.tif’
http://www.weogeo.com/#/original_data_map/2aa1560fa9a13383544d1b10a28378bd
‘BNA6_7_27_28_p_m.tif’
http://www.weogeo.com/#/original_data_map/94594d76dc940407084681e3acbee456
‘BNA8_9_25_26_p_m.tif’
http://www.weogeo.com/#/original_data_map/50a93d683a24280343107199cc31da96
‘BNA8_9_27_28_p_m.tif’
http://www.weogeo.com/#/original_data_map/93f3a4350c4f4931ab53e6831b00cef9

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GIS Day 2008

Multimedia message

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Trackback spam

This WPMu site has been flooded with Trackback Spam.

I’ve just implemented a fix (I hope) and this post will test if legitimate ones still work.

Here is a link to an old post: http://blogs.weogeo.com/dandye/2007/10/28/links-for-2007-10-28/

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Latest Blog Posts

If all goes well, this post will be on the front page of WeoGeo in about 15 minutes.

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BlinkGeo » An Interview with a Geospatial Startup: WeoGeo:

Amazon’s S3 and EC2 web services are starting to garner more attention as a viable means for companies/organizations to leverage Amazon’s robust infrastructure to store and deliver [geospatial] content via the web. … WeoGeo is a Florida-based startup that has tapped into these two web services to host/deliver various types of geospatial content in a promising new way.

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Discussion Papers | OGC®:

GeoDDS Mass Market (formerly GeoRSS) Interoperability Program Report 0.0.1 07-004 Panagiotis (Peter) A. Vretanos 2007-05-07 This OpenGIS(r) document describes the API for two web services capable of generating several simplified data formats including GeoRSS and the Basic XML Feature Schema (BXFS).

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Google’s Next-Gen of Sneakernet:

How do you get 120 terabytes of data — the equivalent of 123,000 iPod shuffles (roughly 30 million songs) — from A to B? For the most part, the old-fashioned way: via a sneakernet.

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Tech Tip

I’ve recently writtena couple of posts on enhancing the quality of preview images in WeoGeo.

Here is another, a WeoGeo tech tip from Bob:

Hyperspectral data can look dull w/o the 2% scaling like ENVI performs.
There are two ways of activating this in files processed with the latest
weoapp:

  as a command line option:  weoapp –scale2 blahblahblah.weo
  or
  as a tag in the weofile:  <scale2>1</scale2>

Confirmation that it actually worked can be found in the output log:

[0000]   [0] ‘Downsizing large image’
[0000]   [1] ‘-o24bit’
*[0000]   [2] ‘-scale2′*
[0000]   [3] ‘-a_srs’
[0000]   [4] ‘+proj=utm +zone=18 +datum=NAD27′
[0000]   [5] ‘-fsquare’
[0000]   [6] ‘/home/rbanfiel/weoapp/example.tif’
[0000]   [7]
‘/opt/weoapp/temp/2e94b95c-f8de-47ef-aa54-2455effb6da4/image1.png’

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Arc Map Layout in Google Earth

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SHPs with Large Extent

I recently loaded a dataset into WeoGeo to demonstrate support for large (extent) shapefiles (link). A potential problem with these types of files is that details are lost in the raster precache (tiles) used in WeoGeo Panels 4 and 5. This problem is evident in Panel 5 below. The borders and coastline look blocky. To show off the detail in the vector, I also included a “detail image” of the data in the Description. The detail image was exported from ArcMap while zoomed into an interesting area (The Florida/Bahamas EEZ border).

The Description for this dataset also capitalizes on the WeoGeo Wiki. That is, there are links in the Description to the wiki that fully describe acronyms such as EEZ and Marbound. And, of course, there is also an external link to the originator of this VLIZ. Thanks to VLIZ for producing such a cool product!

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