Remote Sensing Fusion

1. Prerequisites

To run this project locally, you will need:

• Conda (Miniconda or Anaconda)

2. Binder Setup Instructions

To run this project in a web browser, click the icon below to launch the project with Binder:

Binder will open a Jupyter Notebook in the current web browser.

3. Local Setup Instructions

To run this analysis from a terminal, navigate to the folder containing the local repository.

Local instructions assume the user has cloned or forked the GitHub repository.

Create and Activate Conda Environment

From the terminal, you can create and activate the project Conda environment.

Create environment:

conda env create -f environment.yml

Activate environment:

conda activate remote-sensing-fusion

Open Jupyter Notebook

From the terminal, you can run the analysis and produce the project outputs.

Open Jupyter Notebook:

jupyter notebook

4. Run the Analysis

Follow these steps upon completion of the Binder Setup Instructions or Local Setup Instructions to run the analysis in Jupyter Notebook:

• Navigate to the 01-code-scripts folder;

• Click on the penn-state-black-marble-radiance.ipynb file;

• Select the Kernal tab and then the Restart & Run All option from the top of the browser page; and,

• Select the Restart and Run All Cells button in the pop-up window.

Once the user selects the Restart and Run All Cells button, the workflow will run all code, export figures, and display the results of the analysis.

5. Demos

Run Analysis

View Results

6. Contents

The project contains folders for all stages of the workflow as well as other files necessary to run the analysis.

01-code-scripts/

Contains all Python scripts and Jupyter Notebooks required to run the analysis.

02-raw-data/

Contains all original/unprocessed data.

03-processed-data/

Contains all processed/created data.

04-graphics-outputs/

Contains all figures.

05-papers-writings/

Contains all paper/report files.

06-workflow-demos/

Contains all files for workflow demonstrations.

environment.yml

Contains the information required to create the Conda environment.