Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape
- Authors:
-
- ICF Inc., Fairfax, VA (United States); Univ. of Wisconsin, Madison, WI (United States). Dept. of Forest and Wildlife Ecology and Dept. of Atmospheric and Oceanic Sciences
- Univ. of Wisconsin, Madison, WI (United States). Dept. of Atmospheric and Oceanic Sciences
- Univ. of Wisconsin, Madison, WI (United States). Dept. of Forest and Wildlife Ecology; Univ. of Florida, Gainesville, FL (United States). Dept. of Agricultural and Biological Engineering
- Brookhaven National Lab. (BNL), Upton, NY (United States). Environment and Climate Sciences Dept.
- Univ. of California, Irvine, CA (United States). Dept. of Earth System Science
- Univ. of California, Berkeley, CA (United States). Dept. of Environmental Science, Policy, and Mangement
- San Diego State Univ., San Diego, CA (United States). Dept. of Biology; Univ. of Exeter (United Kingdom). Dept. of Geography
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Atmospheric, Earth and Energy Division
- Univ. of Wisconsin, Madison, WI (United States). Dept. of Forest and Wildlife Ecology
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division; National Aeronautic and Space Administration (NASA); USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1464103
- Alternate Identifier(s):
- OSTI ID: 1466134
- Report Number(s):
- BNL-207950-2018-JAAM; LLNL-JRNL-736478
Journal ID: ISSN 1051-0761
- Grant/Contract Number:
- SC0012704; NNX12AQ28G; AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Ecological Applications
- Additional Journal Information:
- Journal Volume: 28; Journal Issue: 5; Journal ID: ISSN 1051-0761
- Publisher:
- Ecological Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION; eddy covariance; gross primary productivity; hyperspectral imagery; hysplRI; imaging spectroscopy; partial least squares regression; Environmental sciences; Agriculture and botany; Geosciences
Citation Formats
DuBois, Sean, Desai, Ankur R., Singh, Aditya, Serbin, Shawn P., Goulden, Michael L., Baldocchi, Dennis D., Ma, Siyan, Oechel, Walter C., Wharton, Sonia, Kruger, Eric L., and Townsend, Philip A. Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape. United States: N. p., 2018.
Web. doi:10.1002/eap.1733.
DuBois, Sean, Desai, Ankur R., Singh, Aditya, Serbin, Shawn P., Goulden, Michael L., Baldocchi, Dennis D., Ma, Siyan, Oechel, Walter C., Wharton, Sonia, Kruger, Eric L., & Townsend, Philip A. Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape. United States. doi:10.1002/eap.1733.
DuBois, Sean, Desai, Ankur R., Singh, Aditya, Serbin, Shawn P., Goulden, Michael L., Baldocchi, Dennis D., Ma, Siyan, Oechel, Walter C., Wharton, Sonia, Kruger, Eric L., and Townsend, Philip A. Wed .
"Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape". United States. doi:10.1002/eap.1733. https://www.osti.gov/servlets/purl/1464103.
@article{osti_1464103,
title = {Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape},
author = {DuBois, Sean and Desai, Ankur R. and Singh, Aditya and Serbin, Shawn P. and Goulden, Michael L. and Baldocchi, Dennis D. and Ma, Siyan and Oechel, Walter C. and Wharton, Sonia and Kruger, Eric L. and Townsend, Philip A.},
abstractNote = {},
doi = {10.1002/eap.1733},
journal = {Ecological Applications},
number = 5,
volume = 28,
place = {United States},
year = {2018},
month = {5}
}
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Cited by: 2 works
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Works referencing / citing this record:
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
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- Serbin, Shawn P.; Wu, Jin; Ely, Kim S.
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