Here's a collection of resources related to the TEAM application (https://jamesmcoll.users.earthengine.app/view/team)
Raw Code: https://code.earthengine.google.com/f55a05fbf6e2468e01744d87ca178461
HW2 broken example
A python 3 notebook containing code, explanation, and responses to homework 1
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The accuracy of the standard MODIS daily snow cover products and several of the most common and computationally frugal gap filling methods were validated using 12 years of daily snow observations from over 800 SNOTEL stations. This is the joined csv of those station observations with the various MODIS snow cover datasets tested extracted from Google Earth Engine, and may be used to verify or further explore the accuracies of the MxD10A1 (c5) datasets.
Used in the "Comprehensive Accuracy Assessment of MODIS Daily Snow Cover Products and Gap Filling Methods" paper published in ISPRS Journal of Photogrammetry and Remote Sensing.
Hello! My name is Jim Coll and I am one of the student course coordinators this summer and was a participant last summer alongside Mike Johnson. I am currently a Ph.D. student at the University of Kansas in the Geography and Atmospheric Science department. My research interests straddles scales; I work with global snow cover and remote sensing and hyper resolution (sub-meter) data collection and modeling of natural stream reaches. Although I currently call Kansas my home, I am originally from New Hampshire and when I can escape work I enjoy snowboarding (and its flat earth cousin longboarding), long walks on the beach, and hiking, I'm looking forward to a fantastic summer!