Research Papers

Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States

[+] Author Affiliations
Ramesh K. Singh

ASRC Research and Technology Solutions at the U.S. Geological Survey Earth Resources Observation and Science Center, 47914 252nd Street, Sioux Falls, South Dakota 57198

Shuguang Liu, Larry L. Tieszen

U.S. Geological Survey Earth Resources Observation and Science Center, Sioux Falls, South Dakota 57198

Andrew E. Suyker, Shashi B. Verma

University of Nebraska-Lincoln, School of Natural Resources, Lincoln, Nebraska 68583

J. Appl. Remote Sens. 6(1), 063522 (Mar 09, 2012). doi:10.1117/1.JRS.6.063522
History: Received May 16, 2011; Revised November 15, 2011; Accepted January 4, 2012
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Abstract.  Gross primary production (GPP) is a key indicator of ecosystem performance, and helps in many decision-making processes related to environment. We used the Eddy covariancelight use efficiency (EC-LUE) model for estimating GPP in the Great Plains, United States in order to evaluate the performance of this model. We developed a novel algorithm for computing the photosynthetically active radiation (PAR) based on net radiation. A strong correlation (R2=0.94,N=24) was found between daily PAR and Landsat-based mid-day instantaneous net radiation. Though the Moderate Resolution Spectroradiometer (MODIS) based instantaneous net radiation was in better agreement (R2=0.98,N=24) with the daily measured PAR, there was no statistical significant difference between Landsat based PAR and MODIS based PAR. The EC-LUE model validation also confirms the need to consider biological attributes (C3 versus C4 plants) for potential light use efficiency. A universal potential light use efficiency is unable to capture the spatial variation of GPP. It is necessary to use C3 and C4 based land use/land cover map for using EC-LUE model for estimating spatiotemporal distribution of GPP.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Ramesh K. Singh ; Shuguang Liu ; Larry L. Tieszen ; Andrew E. Suyker and Shashi B. Verma
"Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States", J. Appl. Remote Sens. 6(1), 063522 (Mar 09, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063522


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