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

Singh, Ramesh K.; Liu, Shuguang; Tieszen, Larry L.; Suyker, Andrew E.; Verma, Shashi B.

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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Article

ProdID:

70042069

Citation Author:

Singh, Ramesh K.; Liu, Shuguang ; Tieszen, Larry L.; Suyker, Andrew E.; Verma, Shashi B.

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Earth Resources Observation and Science (EROS) Center

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English

Citation Larger Work Title:

Journal of Applied Remote Sensing

Citation LatN:

71.4

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18.9

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-66.9

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172.5

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Citation Phsyical Description:

063522

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SPIE

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Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States; 2012; Article; Journal; Journal of Applied Remote Sensing; Singh, Ramesh K.; Liu, Shuguang ; Tieszen, Larry L.; Suyker, Andrew E.; Verma, Shashi B.