Early detection of biomass production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach.
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| Title: | Early detection of biomass production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach. |
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| Authors: | Meroni, M.1 michele.meroni@jrc.ec.europa.eu, Fasbender, D.1, Kayitakire, F.1, Pini, G.2, Rembold, F.1, Urbano, F.1, Verstraete, M.M.3 |
| Source: | Remote Sensing of Environment. Feb2014, Vol. 142, p57-68. 12p. |
| Subjects: | Biomass production, Time series analysis, Probability theory, Flood warning systems, Photosynthesis, Climatology |
| Abstract: | Abstract: Early warning monitoring systems in food-insecure countries aim to detect unfavourable crop and pasture conditions as early as possible during the growing season. This manuscript describes a procedure to estimate the probability of experiencing an end-of-season biomass production deficit during the on-going season based on a statistical analysis of Earth Observation data. A 15-year time series of the Fraction of Absorbed Photosynthetically Active Radiation from the SPOT-VEGETATION instrument is used to characterize the climatological development of vegetation, its variability and its current status. Forecasts of overall seasonal performances, expressed in terms of the probability of experiencing a critical deficit at the end of the growing season, are updated regularly whenever a new satellite observation is made available. Results and performances of the method are discussed for croplands and pastures in the Sahel. [Copyright &y& Elsevier] |
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| Database: | Engineering Source |
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