For my (Area of Interest) AOI project I collected my 37 points using
GLOBE observer, google maps, and a grid creator. These tools made
collecting my data points a lot easier.
To start I plotted where all my AOI points would be based on a
central point. Using CVS and GeoJson files I was able to get all 37
AOI points in that area. When choosing a center point for your grid
you should...
I
did my AOI centered at a point near the entrance of my old elementary
school, Wilshire Elementary, in Euless, which is where I live. I
finished my 37 field observations in the span of exactly 7 days. This
allowed me to have more breathing space when collecting my data. When
strategizing a plan to get this done, I decided to keep my process as
simple and efficient as possible...
The Problem
You've got a list of AOI coordinates. Google Maps will show them to
you, but it won't tell you the best order to visit them. If you’ve got
more than a few points, this becomes a mess—guesswork, wasted time,
and unnecessary backtracking.Â
We need a tool that will plan the most efficient route for us instead
of figuring things out ourselves. That’s what this does, here’s...
This
project is all about mixing the personal stories of citizen
scientists with 30 years of the GLOBE (Global Learning and
Observations to Benefit the Environment) program. It combines
these two sources, as well as other data sources, to get a
complete picture of how our environment change        ​​​​​​​
...
Our project for SEES 2024 was "Creating a Model to Identify
High-Risk Areas for Flash Flooding in Houston, Texas." In this
blog, I will discuss how we calculated which areas are "high-risk."
There are many ways to identify the most at-risk points of flooding
in a given region. Such points are commonly identified in a flood map,
such as the one here:
For our...
