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
By: , and 

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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 versus C4 based land use/land cover map for using EC-LUE model for estimating spatiotemporal distribution of GPP.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States
Series title Journal of Applied Remote Sensing
DOI 10.1117/1.JRS.6.063522
Volume 6
Issue 1
Year Published 2012
Language English
Publisher SPIE
Publisher location Bellingham, WA
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 063522
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Journal of Applied Remote Sensing
Country United States