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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2080

Title: Use of remotely sensed and ancillary data for estimating forest gross primary productivity in Italy
Authors: Maselli, Fabio
Barbati, Anna
Chiesi, Marta
Chirici, Gherardo
Corona, Piermaria
Keywords: Forest ecosystems
Gross primary productivity
Carbon uptake
C-Fix model
Issue Date: 2006
Publisher: Elsevier
Citation: Maselli, F. et al. 2006. Use of remotely sensed and ancillary data for estimating forest gross primary productivity in Italy. "Remote Sensing of Environment" 100: 563–575
Abstract: The current paper describes the development and testing of a procedure which can use widely available remotely sensed and ancillary data to assess large-scale patterns of forest productivity in Italy. To reach this objective a straightforward model (C-Fix) was applied which is based on the relationship between photosynthetically active radiation absorbed by plant canopies and relevant gross primary productivity (GPP). The original C-Fix methodology was improved by using more abundant ancillary i
Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com
DOI: 10.1016/j.rse.2005.11.010
URI: http://hdl.handle.net/2067/2080
ISSN: 0034-4257
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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