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A MODIS Photochemical Reflectance Index (PRI) as an Estimator of Isoprene Emissions in a Temperate Deciduous Forest

Journal Article · · Remote Sensing
DOI:https://doi.org/10.3390/rs10040557· OSTI ID:1474481
 [1];  [1];  [2];  [3];  [2];  [4];  [5];  [6];  [7];  [2];  [8];  [1];  [1]
  1. Autonomous Univ. of Barcelona, Bellaterra (Spain). Spanish National Research Council (CSIC), Centre for Research on Ecology and Forestry Applications (CREAF) and Global Ecology Unit
  2. Univ. of California, Irvine, CA (United States). Dept. of Earth System Science
  3. DePaul Univ., Chicago, IL (United States). Dept. of Environmental Science and Studies
  4. Univ. of Innsbruck (Austria). Inst. of Atmospheric and Cryospheric Sciences
  5. Univ. of Nebraska, Lincoln, NE (United States). School of Natural Resources
  6. Univ. of Missouri, Columbia, MO (United States). Dept. of Forestry
  7. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  8. Autonomous Univ. of Barcelona, Bellaterra (Spain). Spanish National Research Council (CSIC), Centre for Research on Ecology and Forestry Applications (CREAF) and Global Ecology Unit; Univ. of Antwerp (Belgium). Center of Excellence Plants and Ecosystems (PLECO) and Dept. of Biology
The quantification of isoprene and monoterpene emissions at the ecosystem level with available models and field measurements is not entirely satisfactory. Remote-sensing techniques can extend the spatial and temporal assessment of isoprenoid fluxes. Detecting the exchange of biogenic volatile organic compounds (BVOCs) using these techniques is, however, a very challenging goal. Recent evidence suggests that a simple remotely sensed index, the photochemical reflectance index (PRI), which is indicative of light-use efficiency, relative pigment levels and excess reducing power, is a good indirect estimator of foliar isoprenoid emissions. We tested the ability of PRI to assess isoprenoid fluxes in a temperate deciduous forest in central USA throughout the entire growing season and under moderate and extreme drought conditions. We then compared PRI time series calculated with MODIS bands to isoprene emissions measured with eddy covariance. MODIS PRI was correlated with isoprene emissions for most of the season, until emissions peaked. MODIS PRI was also able to detect the timing of the annual peak of emissions, even when it was advanced in response to drought conditions. PRI is thus a promising index to estimate isoprene emissions when it is complemented by information on potential emission. It may also be used to further improve models of isoprene emission under drought and other stress conditions. Direct estimation of isoprene emission by PRI is, however, limited, because PRI estimates LUE, and the relationship between LUE and isoprene emissions can be modified by severe stress conditions.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
Belgian Federal Science Policy Office (BELSPO); Catalan Government; Chinese Scholarship Council (CSC); European Research Council (ERC); European Union (EU); Spanish Government; USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1474481
Journal Information:
Remote Sensing, Journal Name: Remote Sensing Journal Issue: 4 Vol. 10; ISSN 2072-4292
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

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