Abstract

Vegetation indices obtained from remote sensed data can be used to characterize crop canopy on a large scale us-ing a non-destructive method. With the recent launch of the IKONOS satellite, very high spatial resolution (1 me-ter) images are available for the detailed monitoring of ecosystems as well as for precision agriculture.The aim of this study is to evaluate the accuracy of leaf area index (LAI) retrieval over agricultural area that canbe obtained by empirical relationships between different spectral vegetation indices (VI) and LAI measured onthree different dates over the spring-summer period of 2008, in the Capitanata plain (Southern Italy).All the VIs used (NDVI, RDVI, WDVI, MSAVI and GEMI) were related to the LAI through exponential regres-sion functions, either global or crop-dependent. In the first case, LAI was estimated with comparable accuracies forall VIs employed, with a slightly higher accuracy for GEMI, which determination coefficient achieved the value of0.697. Whereas the LAI regression functions were calculated separately for each crop, the WDVI, GEMI and RD-VI vegetation indices provided the highest determination coefficients with values close to 0.90 for wheat and sug-ar beet, and with values close to 0.70 for tomatoes. A validation of the models was carried out with a selection ofindependent sampling data. The validation confirmed that WDVI and GEMI were the VIs that provided the highestLAI retrieval accuracies, with RMSE values of about to 1.1 m2 m-2. The exponential functions, calibrated and vali-dated to calculate LAI from GEMI, were used to derive LAI maps from IKONOS high-resolution remote sensingimages with good accuracy. These maps can be used as input variables for crop growth models, obtaining relevantinformation that can be useful in agricultural management strategies (in particular irrigation and fertilization), aswell as in the application of precision farming.

Autore Pugliese

• Satalino Giuseppe

Tutti gli autori

• M. Rinaldi; S. Ruggieri; P. Garofalo; A. V. Vonnella; G. Satalino; P. Soldo

Titolo volume/Rivista

Italian journal of agronomy

Anno di pubblicazione

2010

ISSN

2039-6805

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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