This session will have an introductory presentation about the working group and workshop goals plus lightning talks by ARS researchers and SCINet fellows about their research.
Lightning talk presenters
- Georgia Harrison: An Independent Accuracy Assessment of Satellite-Derived Rangeland Fractional Cover
- Efrain Duarte: Application of remote sensing tools for monitoring soil moisture in semi-arid ecosystems
- Mahesh Lal Maskey: A Tool to Extract Actual Evapotranspiration from the USGS MODIS Data Portal
- Amitava Chatterjee: Soil Health Classification Framework for Florida Soils using K-Means Clustering
- Andrea Albright: Irrigation pond water storage variability using in situ and UAS data
- Kossi Nouwakpo: A deep learning approach for irrigation methods mapping
A recording of the session will be added after the workshop concludes.
Tutorial setup instructions
Steps to prepare for the tutorial sessions:
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Login to Ceres Open OnDemand at https://ceres-ood.scinet.usda.gov/. For more information on login procedures for web-based SCINet access, see the SCINet access user guide.
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Open a command-line session by clicking on “Clusters” -> “Ceres Shell Access” on the top menu. This will open a new tab with a command-line session on Ceres’ login node.
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Request resources on a compute node to avoid using the login node for data transfers by running the following command.
srun --reservation=workshop -A geospatialworkshop -t 00:30:00 -n 1 --mem 8G --pty bash
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Create a workshop working directory and copy the workshop materials into it by running the following commands. Note: you do not have to edit the commands with your username as it will be determined by the
$USER
variable.mkdir -p /90daydata/shared/$USER/ cd /90daydata/shared/$USER/ cp -r /project/geospatialworkshop/2024/tutorial* .
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Create a symbolic link to the virtual environment. In the workshop project space, there is a
grwg_2024_env
virtual environment for the Python packages we will be using during the workshop tutorials.You will create a symbolic link to that virtual environment from your workshop working directory. You will then have a shortcut calledmy_grwg_2024_env
in your workshop working directory that points to the virtual environment so you can easily access the virtual environment from VS Code.ln -s /project/geospatialworkshop/2024/grwg_2024_env/ /90daydata/shared/$USER/my_grwg_2024_env
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Setup the kernel for JupyterLab. You will create a kernel called grwg_2024_env to access from JupyterLab Server. Run the following commands to activate the workshop’s virtual environment and create a new kernelspec from it:
source /project/geospatialworkshop/2024/grwg_2024_env/bin/activate ipython kernel install --name "grwg_2024_env" --user
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Stop the interactive job on the compute node by running the command
exit
.