9 March 2012 Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States
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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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Ramesh K. Singh, Shuguang Liu, Larry L. Tieszen, Andrew E. Suyker, Shashi B. Verma, "Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States," Journal of Applied Remote Sensing 6(1), 063522 (9 March 2012). https://doi.org/10.1117/1.JRS.6.063522 . Submission:
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