Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency
| dc.contributor.author | Huemmrich, Karl | |
| dc.contributor.author | Campbell, Petya Entcheva | |
| dc.contributor.author | Landis, David | |
| dc.contributor.author | Middleton, Elizabeth | |
| dc.date.accessioned | 2022-03-09T15:05:49Z | |
| dc.date.available | 2022-03-09T15:05:49Z | |
| dc.date.issued | 2019-09-01 | |
| dc.description.abstract | This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO₂ flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R² of 0.55, although 60 of the bands were included in normalized difference indices with a R² > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R² of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission. | en_US |
| dc.description.sponsorship | This work was supported by the NASA HyspIRI Mission Concept Preparatory Activities program. The authors thank the FLUXNET community as this type of analysis would not be possible without their support of a global network of eddy covariance flux towers and their efforts to process and make these data available, in particular by the following networks: AmeriFlux (U.S. Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program (DE-FG02-04ER63917 and DE-FG02-04ER63911)), AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia, USCCC. We acknowledge the financial support to the eddy covariance data harmonization provided by CarboEuropeIP, FAO-GTOS-TCO, iLEAPS, Max Planck Institute for Biogeochemistry, National Science Foundation, University of Tuscia, Université Laval, Environment Canada and US Department of Energy and the database development and technical support from Berkeley Water Center, Lawrence Berkeley National Laboratory, Microsoft Research eScience, Oak Ridge National Laboratory, University of California-Berkeley and the University of Virginia. The authors wish to specifically thank the providers of the flux data: Akira Miyata, Alan Barr, Alessandro Araujo, Andrew Richardson, Bert Drake, Bill Munger, David Hollinger, Eva van Gorsel, Harry McCaughey, Julian Hadley, Laonardo Sa, Mike Goulden, Mike Jones, Peter Lafleur, Russ Scott, Scott Saleska, Serge Rambal, Richard Joffre, Shashi Verma, T. Andrew Black, Tilden Meyers, Tim Martin, Rosvel Bracho, Walt Oechel, Donatella Zona, and Xudong Zhang. | en_US |
| dc.description.uri | https://www.sciencedirect.com/science/article/abs/pii/S0034425719302020 | en_US |
| dc.format.extent | 14 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.identifier | doi:10.13016/m2xt3r-vsjs | |
| dc.identifier.citation | Huemmrich, Karl F. et al. Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency. Remote Sensing of Environment 230 (1 September 2019) 111190. https://doi.org/10.1016/j.rse.2019.05.009 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.rse.2019.05.009 | |
| dc.identifier.uri | http://hdl.handle.net/11603/24376 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Physics Department | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en_US |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.title | Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0003-4148-9108 | en_US |
| dcterms.creator | https://orcid.org/0000-0002-0505-4951 | en_US |