• Goals: 2019

    January 24, 2019

    A quick list of my goals for 2019 and a look back at my goals for 2018.

  • Issue Based NEPA Course

    November 13, 2018

    NEPA, the good parts!

  • Statistics For Me

    October 16, 2018

    I only took one statistics class in college. It wasn’t that great. I remember the teacher telling a student that it wasn’t her problem if the student didn’t understand the material. Needless to say, statistics found in most wildlife papers are way over my head. Time to change that.

  • Processing Ortho Imagery

    September 17, 2018

    We just purchased 0.2 m four band aerial imagery that covers all Gunnison sage-grouse critical habitat. This is the first time I have ever received raw aerial imagery. We have been working on doing some ground truething of a set of polygons so that we can classify imagery into a variety of vegetation classes (sagebrush/non-sagebrush, sagbrush density classes, etc.)

  • Notes from BLM Wildlife Meeting in Silt

    September 11, 2018

    Some of my notes from the BLM Colorado State Wildlife Meeting in Silt, Colorado, September 11 - September 13, 2018.

  • Understanding Landsat Imagery

    August 31, 2018

    I’ve been thinking about landsat imagery. At my office we are attempting to use landsat data for drought monitoring. But I’m new to landsat data, so I thought it would be helpful to write a little explainer.

  • Explaining a Technical Model

    August 16, 2018

    This year I made a model that attempts to predict where cultural resources are likely to occur on the field office that work on for the BLM. It was the first time I had ever done anything like this and the results surprised me. Validation showed that the model I made captures about 94% of all archaeological sites on the landscape. I used a variety of data sources - animal migratory and concentration areas, hydrologic features, and a variety of elevation based metrics - to feed into a random forest machine learning algorithm to classify raster (grid GIS layer) pixels. But producing a model is only half the battle. I need to explain to my managers what the model is and then I need to prove to the state agency that oversees cultural resources, SHIPO, in Colorado, that the model works and is trustworthy enough to use.

  • Final Cultural Prediction Model Notes

    July 31, 2018

    The purpose of this note is to document my process for creating a model that predicts where archaeological sites are more likely to occur on our field office. You can find my R scripts here.