Oh Well Groundwater Geohackweek Project 2016
|Authors:||Dan Amrhein · Sara Jenkins · Chris Tasich · Christina Bandaragoda|
|Owners:||Christina Bandaragoda · Dan Amrhein · Chris Tasich · Sara Jenkins|
|Resource type:||Composite Resource|
|Created:||Sep 11, 2017 at 9:08 p.m.|
|Last updated:||Nov 21, 2017 at 3:50 a.m. by Christina Bandaragoda|
Data exploration using GRACE remotely derived groundwater levels and well point datasets
The problem: If the well is dry, is the problem due to hydrology or humans? Kenya, Uganda, and Tanzania are three countries with an extensive well dataset. What are the spatial statistics of failures? Are functioning/non-functioning wells scattered randomly, or does failure follow a hydrologic pattern?
A common challenge in interpreting and validating remote sensing data is in comparing these data to direct observations on the ground. Often remotely sensed data will cover large regions and have different temporal and spatial sampling frequency than point observations derived in the field. This kind of analysis requires geospatial tools to enable resampling, assessment of spatial statistics and extrapolation of point data to broader regions. In Geohackweek 2016, our project team ('Oh Well') left code to explore this problem in this HydroShare resource.
Please see the attached project presentation slide show for an introduction to the team.
Source of the Notebook:
<a href="http://nbviewer.jupyter.org/github/amrhein/freshwaterhack/blob/master/grace_wells.ipynb" rel="nofollow">http://nbviewer.jupyter.org/github/amrhein/freshwaterhack/blob/master/grace_wells.ipynb</a>
Google Earth Engine Resources:
Here is a script that selects a single CHIRPS precipitation image from the collection:
<a href="https://code.earthengine.google.com/2870eedb36d247bc25d95c9cc2c4ac50" rel="nofollow">https://code.earthengine.google.com/2870eedb36d247bc25d95c9cc2c4ac50</a>
Here is a script to get mean CHIRPS data:
<a href="https://code.earthengine.google.com/3a09aaa437f327c392ac7798df1e2c09" rel="nofollow">https://code.earthengine.google.com/3a09aaa437f327c392ac7798df1e2c09</a>
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Christina Bandaragoda||University of Washington|
Select content in the file browser to see metadata specific to that content. Metadata will only display here when the the content is selected above. Content specific metadata does not display on the Discover page.
Please wait for the process to complete.