----- GENERAL INFORMATION -----

DATA TITLE: 

	GIS data and Juptyer Notebook for Random Forest models for SDS

DATA ABSTRACT: 

	GIS_data_and_jupyter_python_notebook.zip: Data for Modeling SDS via Random Forest Models. Contains a ArcGIS Pro project with example data collected at Marston Farm (Boone, IA) and cropped Planet Scope 4-band imagery of the area for 2016, 2017 and 2018 (20 dates total).

	Preview for jupyter notebook.html: HTML preview of a jupyter (Python 3) notebook that demonstrates the use of Random forest classifier using the GIS data.

AUTHORS: 

	Author:Chris Harding

	Institution: Iowa State University

	Email: charding@iastate.edu



	Author: Muhammad Raza

	Institution: Iowa State University





----- INSTRUCTIONS -------
- Make a folder (e.g. Random_forest_models_for_SDS) and move the zip file into the new folder. 
- Unzip the zip file, it will create  a ArcGIS Pro (2.4) project file called SDS project.aprx, some other GIS files and a jupyter notebook

GIS:
- Load SDS project.aprx to open the project in ArcGIS Pro. 
- All feature classes and rasters are in a ESRI file geodatabase called SDS project data.gdb, which will be the project's default geoDB. 
- There a also examples of the GIS data used in non-geoDB format (in case you can't use ArcGIS)
	- a shape file of quadrants
	- a stand alone table with the same data, in Excel (.xlsx format)
	- a geotiff (.tif) raster

Jupyter:
- Open the Using Random Forest Models for SDS.ipynb jupiter notebook, which captures the state after it has been run with the GIS data. 
- The notebook walks through the process in great detail. 
- I've also added a .html version (same as preview), which can be opened in a browser. It can't be "run" but will at least show the code and the results (incl. tables and images) of running the code in jupyter



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