Estimating crop yield using a satellite-based light use efficiency model |
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| Affiliation: | 1. Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA;2. Institute of Biodiversity Sciences, Fudan University, Shanghai, 200433, China;3. Atmospheric Science Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;4. Atmospheric Turbulence and Diffusion Division, NOAA/ARL, Oak Ridge, TN 37831, USA;5. School of Natural Resource, University of Nebraska, Lincoln, Lincoln, NE 68583, USA;6. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;7. International Center for Agricultural Research in Dry Areas, the Consultative Group on International Agricultural Research (CGIAR), Amman, 11195, Jordan;8. College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK 73019, USA |
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| Abstract: | Satellite-based techniques that provide temporally and spatially continuous information over vegetated surfaces have become increasingly important in monitoring the global agriculture yield. In this study, we examine the performance of a light use efficiency model (EC-LUE) for simulating the gross primary production (GPP) and yield of crops. The EC-LUE model can explain on average approximately 90% of the variability in GPP for 36 FLUXNET sites globally. The results indicate that a universal set of parameters, independent of crop species (except for C4 crops), can be adopted in the EC-LUE model for simulating crops’ GPP. At both irrigated and rainfed sites, the EC-LUE model exhibits a similar level of performance. However, large errors are found when simulating yield based on crop harvest index. This analysis highlights the need to improve the representation of the harvest index and carbon allocation for improving crop yield estimations from satellite-based methods. |
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| Keywords: | Light use efficiency EC-LUE Gross primary production Crop yield |
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