Remote sensing (RS) can help scientists interpret carbon, water, and energy flux measurements at eddy covariance sites by providing contextual information on community composition and vegetation function, as well as scale fluxes globally. Additionally, flux data can inform remote sensing measurements which do not directly measure carbon and water fluxes.

This github repository provides an operational catch all for information, software and other resources to assimilate near-surface remote sensing data with (energy) fluxes. All communication, code and other materials are public and we would like to remind you of our code of conduct.

The working group provides community support through a number of channels. The working group provides a slack channel for rapid chat style communication. To gain access to the Slack channel or get an invite and join the discussion raise an issue in the discussion repository (follow the link and punch the green button, and tag either @zoepierrat or @khufkens). In addition, open discussions which require persistence can be found on the Discussions tab above.

To guide anyone new to the field, or interested in our efforts into past and ongoing disucssions we provide links to a repository containing an academic bibliography of the most interesting works available. Books and or course material will also be linked to separately.

• Bibliography (Zotero group) - (submit a new paper)
  • thermal remote sensing
  • hyperspectral remote sensing
  • solar induced fluoresence
  • LIDAR
  • data assimilation
• Courses
• Tutorials
  • Leaf Energy Balance Tutorial

This is a list of key resources by partners in order to measure, process and or deal with various forms of near-surface remote sensing from a practical perspective. This covers both acquisition and post-processing protocols.

To ensure interoperability common protocols are helpful. However, we are mindful of people's personal financial, practical and research constraints. Portocols are therefore as well defined as possible, but as flexible as needed.

A key part of research is gathering existing data and processing them. In addition, combining data streams is crucial for both intercomparisons and furthering our understanding of both ecosystems and sensor (networks), or remote sensing products alike. Below we link to key software to access, process and assimilate various data streams.

• FluxDataKit - Workflow to convert FLUXNET data to Land Surface Model formats
• FluxnetEO - Access and convert FluxnetEO data in R
• appeears - Extract analysis ready NASA AppEEARS data in R
• ecmwfr - ECMWF data on the climate data store (CDS) including ERA5 fields