To launch the phenoSynth App navigate to the phenoSynth repository and click on the phenoSynth logo:
Alternately, if you have Rstudio installed on your computer, you can clone or download the app as a .zip file like so:
Clone the github repo in your terminal like so:
git clone https://github.com/katharynduffy/phenoSynth.git
If you decided to download or clone the app, launch it within RStudio by opening the global.R file and clicking the Run App button:
Once the App has launched you should be directed to the site explorer interface:
In the main interface you can:
or 3. Type in the name of a site that you want to explore:
Once you find a site that you are interested in, click the 'Enter Analyze Mode' button:
While in analyze mode you can toggle on or off MODIS Landcover Classification, display of the Region of Interest (ROI) PhenoCam mask used to extract greenness signals by vegetation type, and display the PhenoCam Field of View (FOV):
Now click the 'Import Data' button:
and select the data and PhenoCam timestep that you are interested in importing.
When you have selected the data you wish to use, click the 'Get Data' button.
A 250 m grid of MODIS tiles will appear for comparison with PhenoCam greenness.
With this grid you can select various pixels, including pixels which match vegetation cover classifciation or are within the PhenoCam field of view (FOV)
The 'Vegetation Cover Agreement' layer is dynamic, such that if multiple vegetation ROIs are available from the PhenoCam network, selecting them in the ROI vegetation drop down menu will highlight new pixels.
Once you have selected the pixels you are interested in, click on the ‘Plot Data’ button
and select the data that you want to plot:
You will be redirected to the plot data tab.
In the interactive plot you can select time periods that you are interested, such as dates where PhenoCam and MODIS overlap:
As a user you have the ability to select or remove various levels or types of data with the tick boxes at the top.
You can also turn on or off individual pixels, LOESS fits or transition dates by clicking on the on the right.
The naming convention on the pixels represents the x/y position of that pixel surrounding a 1 degree grid from the PhenoCam location.
You can view metadata about the lat/lon of the pixels that you have selected at the bottom:
Further, you can download a dataframe for additional analysis by clicking on the ‘Download Dataframe’ button.
Or download a png of the plot