Studying Biological Impacts of Environmental Change Using Repeat Photography: Introduction to PhenoCam Data Products and Software Tools

Workshop

American Geophysical Union Annual Meeting

December 12, 2018

Learn to work with repeat-photography images to study landscape changes. This workshop is a joint effort between the and the National Ecological Observatory Network (NEON) to share recently developed tools facilitating access to, and analysis of, camera imagery and higher-order data products available through PhenoCam. Learning activities include:

data discovery using the PhenoCam API;
image processing using the xROI Shiny interface;
modeling and data integration in R using the phenor package; and
accessing phenological data across networks through Shiny (R).

While this workshop focuses on phenological repeat photography data, repeat-photography analyses have many applications. All disciplines and use-cases are encouraged to attend.

Workshop Objectives

Participants of the workshop will learn how digital repeat photography (e.g., via the PhenoCam network) can advance environmental and ecological studies. By the end of the workshop, participants will understand how recent advancements and developments in image processing using open-source analysis tools can be used to study ecosystem changes in real-time. Predicted outcomes for those who attend this workshop will include the ability to:

access and download raw and processed data from the PhenoCam network;
extract time-series data from any stack of digital images, including, but not limited to, the images of the PhenoCam network;
quantitatively remove data obtained under bad weather conditions (e.g., fog or cloud conditions); and
analyze extracted time-series across scales and networks to address environmental questions.

Required Prior Knowledge: Although a significant portion of the material will be interactive using graphical interfaces, there will be live coding sessions in R. So all participants are expected to have a prior knowledge of at least one programming language, and have R, and preferably RStudio, installed on a laptop to participate in all the sections.

Registration Required: This workshop will be taught at the 2018 meeting of the American Geophysical Union (AGU) in Washington D.C. You must be a registered attendee of the conference and register for this workshop with your AGU registration to participate in this workshop. For more information, visit the . This is AGU Scientific Workshop WS17.

Workshop Schedule

Location: Lafayette Park/Farragut Square, Grand Hyatt Washington, Washington DC near Walter E. Washington Convention Center

Please double check the conference schedule as rooms can change!

Please note that the schedule listed below may change depending upon the pace of the workshop!

Time	Topic
7:45	Please come early if you have any setup or installation issues.
8:00	Introduction to digital repeat photography: PhenoCam network and data
8:20	NEON data & integration with PhenoCam
8:30	Access PhenoCam data: website and API
9:15	Data extraction: from images to time-series (xROI R package, interactive R Shiny app)
10:15	--------- BREAK ---------
10:30	Assessing data quality (hazer R Package)
11:30	Transition dates of phenological time-series (extracting or pre-processed)
11:40	Analyzing and interpreting the data (phenor R package and Phenocam Explorer)
11:50	Phenology data across scales & datasets (PhenoSynth R Shiny app)
12:00	Final Questions & Evaluation

Workshop Instructors

, Postdoctoral Fellow and PhenoCam Data Scientist at Harvard University/Northern Arizona University
, Postdoctoral research associate, Northern Arizona University
, Postdoctoral research associate & COBECORE project lead, Ghent University
; @meganahjones, Research Scientist, Science Education; NEON program, Battelle

Please get in touch with the instructors prior to the workshop with any questions.

Twitter?

Please tweet using the hashtags #NEONData & #PhenoCam and tweet @PhenoCam & @NEON_Sci.

Before the Workshop

To participant in this workshop, you will need a laptop and an updated version of R, version 3.4 or later.
It is essential that you update to the most current release of R before you come to the workshop as a number of packages require the updated versions of R. If you use a Mac, your operating system may need to be updated to install the latest R version. There will not be sufficient time at the start of the workshop to complete this install.

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Install R Packages

We will require a number of packages to interact with imagery and data. You must run the following code before you come to the workshop*, as some packages take quite a while to download and install. If any of the packages fail that’s fine! Email the instructors or just come a little early to the workshop and we will help you debug.

 install.packages('rgdal')
 utils::install.packages('devtools', repos = "http://cran.us.r-project.org" )
 install.packages('hazer')
 install.packages('jpeg')
 install.packages('lubridate')
 install.packages('hazer')
 install.packages('data.table')
 install.packages('phenocamapi')
   install.packages('phenocamr')
 install.packages('xROI')
 devtools::install_github('khufkens/phenor')
 install.packages('daymetr')
 install.packages('tidyverse')
 install.packages('shiny')
 install.packages('xaringan')
 install.packages('maps')
 install.packages('raster')
 install.packages('sp')

Update R Packages

In RStudio, you can go to Tools --> Check for package updates to update previously installed packages on your computer.

Or you can use update.packages() to update all packages that are installed in R automatically.

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Workshop