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Archive for the 'global warming' Category Page 2 of 4



LIDAR Data Coastal Erosion And Flooding Analysis Using MicroDEM

LIDAR (Light Detection and Ranging) can be used to create high-resolution terrain data (sub-meter), detail good enough to show individual man-made features like buildings and bridges. It’s especially useful for analyzing terrain in areas that are in constant change, like coastlines. High-resolution coastal LIDAR data is available at this NOAA website for the entire US ocean coastline, and parts of the Great Lakes coastlines, for times ranging from 1996 to the present.

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Animating Sea Level Rise In San Francisco With Vector Overlays In Google Earth In One Word: Don't

Last week, I posted the last in my series on animating sea level rise in Google Earth using raster overlays (the “Inconvenient Truth Effect”), and ended with the comment that I would do the same thing with vector overlays, and that doing it that way had some advantages over using raster overlays. Uh, maybe not.

For this effort, I decided to do a vector overlay animation that showed flooding in San Francisco instead of the previous one in Manhattan. Creating a raster animation was pretty straightforward:

Doing the same thing with vector overlays turned out to be a major pain, and even though at first glance the results might look comparable …

… if you look at the results in Google Earth itself, there are big problems with the way it’s rendered at various viewing angles and zoom levels. Read on to find out more.

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The "Inconvenient Truth" Effect In Google Earth: Animated Sea Level Rise Flooding Of Lower Manhattan With An Added Depth Effect

Yesterday’s post showed how to create a sea level rise flooding animation in Google Earth, like this one:

But if you downloaded the KMZ file used to create this animation, and ran it with 3D buildings turned on at the tip of Manhattan, the final image you’d get with 12 meters of flooding looks like this:

downtownnoheight

And there’s a problem with the accuracy of this image: there’s no actual depth to the flooding, i.e. the lower levels of the buildings aren’t covered with water. In fact, some of the buildings you can see in the view above would be completely covered with water if this were a more realistic depiction. That’s because no absolute altitude was assigned to the image overlays used in creating the animation, so they are “clamped” to the terrain level. But by assigning a height to every overlay image in the animation, one can create a realistic effect where the flooding doesn’t just cover more area as the sea level rises, but covers the bottom levels of some buildings, and completely covers other ones. This would be similar to the animations shown in the movie “An Inconvenient Truth”, and in one sense even better. In that movie, the flooding was show in overhead views, while the Google Earth animation can be viewed at an oblique angle of your choosing, with 3D buildings.

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National Solar Radiation Database

The National Solar Radiation Database offers solar radiation data and limited meteorological data for 237 sites in the US over the period 1961-1990, and expanded data for 1454 sites from 1991-2005:

nsrdb_map_w61-90

Data includes:

  • Hourly Solar Data
  • Statistical Summaries
    • Daily Statistics Files
    • Hourly Statistics
    • Threshold Files
  • Solar Radiation Data Manual for Buildings
  • Solar Radiation Data Manual for Flat-Plate and Concentrating Collectors
  • Typical Meteorological Year (TMY2) Files
  • User manuals in PDF format can be downloaded. Data is in text format, but can be converted to spreadsheet format with a bit of work.

    Via Treehugger.




    High-Resolution Sea Level Rise Flooding Animations In Google Earth

    Creating a high-resolution static sea-level rise image for a specific sea level rise value, and displaying it in Google Earth, is fairly straightforward (see these three posts for the details):

    geoverlay1

    But creating an animated version viewable in Google Earth, comparable to this animation created in MicroDEM

    … takes a bit more work, including diving into the KML code. But while it’s a bit time-consuming, it’s not that hard, and the results are worth it:

    Addendum: Do read the rest of this post, but also check out the next post in the series as well for even cooler effects.

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    Adding Color Transparency To GIF/PNG Google Earth Image Overlays

    In the last post, a raster image overlay of 8 meters of sea level rise flooding was loaded and positioned into Google Earth:

    overheadview1

    But the white areas of the original raster image obscure the underlying aerial photography, even when the raster image is made partially transparent. It would be useful to make that original white area completely transparent, while preserving the blue areas that represent areas flooded by the sea, and that can be done in Google Earth.

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    Image Overlays In Google Earth

    In a previous post, a vector-based KMZ file was created to show the effects of 8 meters of sea level rise on the Manhattan area:

    manhattanafter1

    If you read the earlier post, you’ll see that it’s a fairly convoluted process to convert a raster graphic image into a vector KML format, involving multiple steps that may not be that straightforward for a GIS newbie. But there’s an alternative path: take the original raster graphic image, and import that into Google Earth as an image overlay. This post will show specifically how to do that for the sea level rise image, but the process can be used with any generic image overlay.

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    High-Resolution Sea Level Rise Effects In Google Earth

    Last week, I posted on how to create an animated depiction of sea level rise due to a storm surge or global warming. Here’s a movie of the flooding for the Manhattan/NYC area:

    Got a note from Frank Taylor over at the Google Earth Blog saying that it looked pretty interesting, and that he would have linked to it if it were in Google Earth. That got me to thinking about how you could show the effects of coastal sea level rise in Google Earth with high spatial resolution, both static and animated. I’ll start with the easy one: static.

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