气候变化领域集成服务门户(CCPortal): Evaluating the benefits of chlorophyll fluorescence for in-season crop productivity forecasting

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DOI	10.1016/j.rse.2021.112478
	Evaluating the benefits of chlorophyll fluorescence for in-season crop productivity forecasting
	Sloat L.L.; Lin M.; Butler E.E.; Johnson D.; Holbrook N.M.; Huybers P.J.; Lee J.-E.; Mueller N.D.
发表日期	2021
ISSN	00344257
卷号	260
英文摘要	Remote sensing of solar-induced chlorophyll fluorescence (SIF) shows promise for monitoring the productivity of global agricultural systems. SIF-based primary productivity metrics have demonstrated higher fidelity to large-scale patterns of crop productivity than reflectance-based vegetation indices when averaged across the growing season. In-season crop yield forecasting typically relies upon reflectance-based vegetation indices, raising the question of whether in-season monitoring could be improved by utilizing SIF. Here, we analyze patterns of US agricultural productivity from USDA surveys and their in-season relationships with coarse-resolution GOME-2 SIF, high-resolution downscaled SIF, SIF-based primary productivity metrics, MODIS NDVI, and MODIS GPP. We find that coarse-resolution SIF-based metrics and NDVI exhibit similar out-of-sample in-season (April–July and April–August) predictive ability, even when spatially filtering higher-resolution NDVI data to cropland areas. The downscaled SIF product performed more poorly than the coarse-resolution SIF, and MODIS GPP performed more poorly than MODIS NDVI. All forecasts are improved by incorporating county fixed effects to control for cross-sectional differences between counties. NDVI-based metrics allow for significantly better yield predictions during drought conditions than SIF-based metrics, suggesting limited added value of SIF for early warning of drought impacts. The benefits of SIF for crop monitoring should be continually evaluated as the frequency and quality of SIF measurements continue to improve. © 2021 Elsevier Inc.
英文关键词	Crop forecasting; Crop productivity; GOME-2; NDVI; SIF; Solar-induced fluorescence
语种	英语
scopus关键词	Chlorophyll; Crops; Drought; Forecasting; Forestry; Photosynthesis; Phytoplankton; Quality control; Radiometers; Reflection; Remote sensing; Vegetation; Chlorophyll fluorescence; Coarser resolution; Crop forecasting; Crop productivity; GOME-2; NDVI; Primary productivity; Solar-induced chlorophyll fluorescence; Solar-induced fluorescences; Vegetation index; Fluorescence
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178832
作者单位	Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States; Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, United States; School of Global Policy & Strategy, University of California, San Diego, San Diego, CA, United States; Department of Forest Resources, University of Minnesota, St. Paul, MN, United States; National Agricultural Statistical Service, United States Department of Agriculture, Washington, DC, United States; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States; Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States; Department of Environmental and Planetary Sciences, Brown University, Providence, RI, United States
推荐引用方式 GB/T 7714	Sloat L.L.,Lin M.,Butler E.E.,et al. Evaluating the benefits of chlorophyll fluorescence for in-season crop productivity forecasting[J],2021,260.
APA	Sloat L.L..,Lin M..,Butler E.E..,Johnson D..,Holbrook N.M..,...&Mueller N.D..(2021).Evaluating the benefits of chlorophyll fluorescence for in-season crop productivity forecasting.Remote Sensing of Environment,260.
MLA	Sloat L.L.,et al."Evaluating the benefits of chlorophyll fluorescence for in-season crop productivity forecasting".Remote Sensing of Environment 260(2021).