Dr. Burba's seminar
Venerdì, 17 Maggio 2019 dalle ore 10:00 alle ore 11:00
Sala Gialla CTT
TITOLO: Connecting Flux & Remote Sensing Communities: New Technical Tools for Time-and Space-Synchronized Datasets
SPEAKER: George Burba (University of Nebraska-Lincoln School of Natural Resources) is a Science & Strategy Fellow at LI-COR Biosciences, Global Fellow at R.B. Daugherty Water for Food Global Institute, and a Graduate Adjunct Professor in the School of Natural Resources at the University of Nebraska. His personal research interest is a broad scope of bio-atmospheric interactions, with over 25 years of experience in experimental science, 30+ field campaigns, over 150 institutional collaborations, and over 360 publications, including first authorship of 6 books requested by 130,000+ individual researchers in 150+ countries, available in 40 research libraries, and placed on the curricula in over 50 universities and institutions.
ABSTRACT: Hundreds of FLUXNET towers are presently operational as standalone projects and as parts of regional networks. Many have weather, radiation and soil data to help clean, analyze and interpret the flux data. However, the vast majority of these towers do not allow straight-forward coupling with remote sensing (drone, aircraft, satellite, etc.) and modeling workflows, and even fewer have optical sensors for validation of remote sensing products, ecosystem modeling, and upscaling from the field to regional and global levels. In 2016-2019, new tools to collect, process, and share time-synchronized flux data from multiple towers were developed and deployed globally. These new tools can be effective in fostering scientific interactions, joint grant writing, data sharing and collaborations among the flux and remote sensing and modeling communities. It is because these tools allow relatively easy matching of tower data with remote sensing data due to the following capabilities:
* The fully automated FluxSuite system combines hardware, software and web services, and does not require an expert to run it.
* The system can be incorporated into a new flux station or added to a present station, using a weatherized remotely-accessible microcomputer, SmartFlux3.
* It utilizes EddyPro software to calculate fully-processed fluxes and footprints in near-real-time, alongside radiation, optical, weather and soil data.
* All site data are merged into a single quality-controlled file timed using PTP time protocol.
* Data from optical sensors can be integrated into this complete dataset via compatible data loggers.
* Multiple stations can be linked into the time-synchronized network with automated reports and email alerts visible to PIs in real-time.
* Flux researchers can cross-share station access to specific stations and data access with each other.
* Flux data analysis software, Tovi, seamlessly ingests the data from the flux stations and allows a non-expert to quality control and gap-fill the flux data, partition NEE into GPP and Reco, and select exact perimeters on the map around the station to assess fluxes coming from just these areas.
* Remote sensing researchers and modelers without actual physical stations can form “virtual networks” of stations by collaborating with tower PIs from different physical networks.
As a result, the proposed concept can be utilized to couple flux tower data with remote sensing and modelling workflows as follows:
1. GPS-driven PTP protocol synchronizes instrumentation within the station, different stations with each other, and all of these to remote sensing data to precisely align remote sensing and flux data in time.
2. Footprint size and coordinates computed and stored with flux data help correctly align tower flux footprints and drone, aircraft or satellite motion to precisely align optical and flux data in space.
3. Areas selectable within the total station footprint allow matching flux tower data to the exactly same areal coverage as satellite data or modeling grid.
4. A full snapshot of the remote sensing pixel or modeling grid can then be constructed including leaf-level, ground optical sensors, and flux tower measurements from the same area closely coupled with the remote sensing measurements to help interpret remote sensing data, validate models, and improve upscaling.
Additionally, current flux stations can be augmented with advanced ground-based optical sensors and can use standard routines to deliver continuous products (e.g. SIF, PRI, NDVI, etc.) based on automated field spectrometers (e.g., FloX and RoX, etc.) and other optical systems. Hundreds of new towers already operational globally can be readily used for the proposed workflow. Over 500 active traditional flux towers can be updated to synchronize their data with remote sensing measurements.
This presentation will show how the new tools are used by major networks, and describe how this approach can be utilized for matching remote sensing, modeling and tower data to aid in ground truthing, improve scientific interactions, and promote joint grant writing and other forms of collaboration between the flux, remote sensing and modeling communities.
HOST: Michele Dalponte