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Title: | Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems | Authors: | Maselli, Fabio Papale, Dario Puletti, Nicola Chirici, Gherardo Corona, Piermaria |
Keywords: | NDVI;fAPAR;C-Fix;Forest;GPP | Issue Date: | 2009 | Publisher: | Elsevier | Source: | Maselli, F. et al. 2009. Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems. "Remote Sensing of Environment" 113 ( 3): 657-667. | Abstract: | This paper describes the development and testing of a procedure which combines remotely sensed and ancillary data to monitor forest productivity in Italy. The procedure is based on a straightforward parametric model (C-Fix) that uses the relationship between the fraction of photosynthetically active radiation absorbed by plant canopies (fAPAR) and relevant gross primary productivity (GPP). Estimates of forest fAPAR are derived from Spot-VGT NDVI images and are combined with spatially consistent data layers obtained by the elaboration of ground meteorological measurements. The original version of C-Fix is first applied to estimate monthly GPP of Italian forests during eight years (1999–2006). Next, a modification of the model is proposed in order to simulate the short-term effect of summer water stress more efficiently. The accuracy of the original and modified C-Fix versions is evaluated by comparison with GPP data taken at eight Italian eddy covariance flux tower sites. The experimental results confirm the capacity of C-Fix to monitor national forest GPP patterns and indicate the utility of considering the short-term effect of water stress during Mediterranean dry months. |
Description: | L'articolo è disponibile sul sito dell'editore www.sciencedirect.com |
URI: | http://hdl.handle.net/2067/2088 | ISSN: | 0034-4257 | DOI: | 10.1016/j.rse.2008.11.008 |
Appears in Collections: | DiSAFRi - Archivio della produzione scientifica |
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RSE_maselli_waterlimited 1.pdf | 88.22 kB | Adobe PDF | View/Open |
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