All in In process

Making my own map (Object-based imagery analysis of remotely sensed data)

I am working on mapping sites to recognize patterns on the land between plants and stormwater. Object-based analysis is an approach to classification that uses the color of groups of pixels rather than single pixels and adds spatial information to the spectral information. The output of object-based image analysis is accurate categories of fine-scale objects and landscape types along with relationships between them.

A Qualified Success

Earlier this month, I passed my qualifying exam to become a PhD candidate (and not get kicked out of the program, yay!). There was a lot of reading involved, but in the end it was not so bad. It gave me just the incentive I needed to get through thousands of pages of background and come out a little more prepared for my research.

The Influence of Landscape Context on Native Plant Species in Stormwater Detention Basins

One of the ways I am using the data from my fieldwork is to study the way the surrounding landscape influences the plant species found at a site. I found the percent native species at a site is negatively affected by commercial and services land use and transportation and utility areas in the surrounding area but positively affected by wooded wetlands and recreation land nearby. This can help land managers fine tune restoration decisions for different kinds of sites.

November in the Lab: Extractable nutrients, or what color is it?

Phosphorus and nitrogen are essential for plants, but can become pollutants in high concentrations, so I am measuring levels in the soil in my study sites. In this series of analyses, I am using the color of chemical reactions to measure the concentration of nitrogen and phosphorus in soil. In the analysis, I compare the color of my samples to the color of samples of known concentration using a spectrometer. This analysis shows a convoluted and ingenious way that someone came up with to measure these very low concentrations of elements.