Estimating crop yield using a satellite-based light use efficiency model
نویسندگان
چکیده
منابع مشابه
Estimating Crop Yield from Multi-temporal Satellite Data Using Multivariate Regression and Neural Network Techniques
Accurate, objective, reliable, and timely predictions of crop yield over large areas are critical to helping ensure the adequacy of a nation’s food supply and aiding policy makers on import/export plans and prices. Development of objective mathematical models of crop yield prediction using remote sensing is highly desirable. In this study, we develop a new methodology using an artificial neural...
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Bioenergy, made available from materials derived from biological sources, has been widely considered as one of the major renewable and sustainable energy sources to enhance energy security and mitigate climate change [Beringer et al., 2011; Fargione et al., 2010]. Food grain is currently the most popularly used biomass feedstock for biofuel production, e.g., maize (Zea Mays L.) grain for bioeth...
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Satellite remote sensing of Gross Primary Production (GPP) will greatly enhance our understanding of the terrestrial carbon cycle, as it allows globally continuous estimates of plant CO 2 uptake at regular intervals from space [1]. Remotely sensed GPP can be defined as the product of the incident photosynthetically active radiation (the radiation between 400 and 700 nm wavelength, PAR), the fra...
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ژورنال
عنوان ژورنال: Ecological Indicators
سال: 2016
ISSN: 1470-160X
DOI: 10.1016/j.ecolind.2015.08.013