My name is Nicolette Edwards, and I have been working at GINA as a student employee through EPSCOR since May 2015, and this summer will mark my third one here. My degree is a BA of Anthropology with a focus on archaeology and a Geographic Information Systems (GIS) minor, and I am especially interested in how humans impact their surrounding environment in the past and present. Since I graduated in May, I will only be here until the end of June, but I am excited about the projects I will be working on and finishing up until then!
The main project I have been working on over the past couple of months is EPSCOR’s Salmon 2050 Project which is a “A Participatory Scenario Planning Project for the Kenai River Watershed” that created a total of five different scenarios based on the possible different environmental conditions that may occur in 2050. Each of these scenarios has their own specific guidelines and stipulations. My focus is on the urban development side of this project, where I utilize ArcGIS to create a visual for each scenario and provide realistic expectations of both domestic housing and commercial businesses based on the potential environmental conditions. An example of this is provided in the picture above! It is only one scenario (out of five) but it provides a good example of how much the environment could be effected based upon human’s expansion and growth. For more information of the project as a whole, here is a link to EPSCOR’s page:
Also, on June 10th I will be showcasing our Augmented Reality Sandbox at Denali’s Summerfest. If you are not familiar with it, it is a sandbox with a projection simulating landscapes (specifically with distinct elevations) that changes based on on how the sand is formed. It also has the ability to imitate water in both flow and accumulation and how it would move about the formed landscape! Here is a YouTube link for those interested:
Thank you for reading and have a great summer!
For the second year running UAF-GINA is hosting a weeklong bootcamp on introductory skills in GIS, the command line, Github, and Raspberry Pis. This year we are also hosting a weeklong digital mapathon for improving mapping of North Slope communities.
We want to open these two opportunities up to anyone who wants to get an introduction to these topics. The mapathon and bootcamp are both free to participants, these activities are sponsored by Arctic Slope Regional Corporation Federal - Mission Solutions.
Email email@example.com with questions.
2017 GINA Bootcamp
June 5 - 9, 10am to 4pm
Computer Lab in WRRB 040 & Decision Theater Development Space
Sign up for Bootcamp
North Slope Mapathon
June 12 - June 15. 10am to 2pm
Decision Theater North (WRRB 010)
Sign up for Mapathon
Hi! My name is Ianjon Brower and I’m working for ASRC-Federal and GINA this summer. My project for this summer is going to be prototyping a Raspberry Pi with specific sensors that monitor the temperature (and other things) of ice cellars that is easy for anyone to use! These ice cellars are in native villages such as Utqiagvik, Nuiqsut, and many more. The reason we need to do this work is that some of the ice cellars have been filling up with water by melting and this is ruining their storage for all year around.
What’s in an ice cellar you ask? It’s use to store all the hunted game that’s found locally to preserve. It’s a natural big freezer that’s supposed to stay ice cold all year around. We are going to get some data to figure out why this is happening! I have a lot of learning to do for this project and the people here are a great help.
UAF GINA recently orthorectified historical aerial photography from 1950 and 1984 covering Anchorage for the Alaska EPSCoR program. These images are useful for conducting a variety of change detection analyses on the landscape. The image data is freely available by contacting UAF GINA at: firstname.lastname@example.org.
We recently made a number of improvements to the MODIS and VIIRS images we distribute via GINA Puffin Feeder.
For VIIRS on SNPP, we made a number of improvements.
First, the day night band (DNB) imagery has switched to Curtis Seaman’s ERF scaling, which should provide a much more useful product.
These images look a bit dark, but keep in mind the lower left half of the image is in complete darkness.
A floating point version of this product with no scaling applied is also available, which is useful to retrieve details lost in the scaling process. Please contact us this product might be useful to you.
Second, we changed to a different algorithm for generating the natural color and other RGB composites - they should look similar, but not exactly the same. Please let us know if you notice any differences that affect the product’s usefulness.
Finally, we changed how the thermal product is scaled. This should allow for a more useable product, and allow conversions from the data from Feeder to brightness temperatures. The major thing to note is “cold” values are now white, and “hot” values are now black. Please see the note below for more details.
For MODIS, we have changed how the natural color and other rgb products are generated, and while they might look different, they should look similar. Please let us know if the differences affect the usability of the product.
One major change is switching to providing band 31 for the thermal images. Band 31 contains the 10.780µm - 11.280µm region of the spectrum, and should provide a better long wave IR image.
We have switched to scaling the images the same way we do for AWIPS, where cold is white, and hot is black. To convert the pixel values back to brightness temperatures, you can do something like this:
If the value is greater than or equal to 180:
Temperature in Kelvin = 418.15 - pixel_value
Temperature in Kelvin = 328.15 - (pixel_value/ 2.0)
Black (1) is 327.65 Kelvin, or 54.5 Celsius, white (255) is 163.15 Kelvin, or -110 Celsius.
Finally, these products are now produced via our NRT Dashboard . We have a API that allows programmatic retrieval of these products - please drop us a line at email@example.com if you have a need for it.
Questions or comments? We can be reached via email at firstname.lastname@example.org .
Volcanic eruption monitoring using both geostationary (Himawari) and polar orbiting (SNPP) satellite imagery, RGBs, and derived volcanic ash products.