Logo del repository
  1. Home
 
Opzioni

Previsione delle produzioni e indici multispettrali: buoni risultati con il TCARI/OSAVI

P. Sivilotti
•
G. Malossini
•
M. Scocco
altro
G. Colussi
2012
  • journal article

Periodico
ITALUS HORTUS
Abstract
In 2006 an experimental trial started in the collaboration among ERSA, the Viticolori La Delizia Winery and the Department of Life Sciences of the University of Trieste, with the aim to obtain a yield forecasting model based on airborne/remote indices and field measurements. Beside the classic NDVI, some other indices very sensi t ive to leaf area (MCARI, MTVI) or to chlorophyll content (TCARI, TCARI/OSAVI) were computed. In few vineyards, several plots were considered and yield and quality parameters assessed, in order to calculate their correlations with the computed indices. In 2007 and 2008 high-resolution images were obtained using an AISA EAGLE sensor mounted on a helicopter, while in 2006 and 2008 satellite images with low resolutions were acquired (IKONOS and ASTER, respectively). TCARI, TCARI/OSAVI and MCARI revealed to be the most interesting as best forecasting yields both in Pinot gris and in Cabernet Sauvignon.
Archivio
http://hdl.handle.net/11368/2537743
Diritti
metadata only access
Soggetti
  • Vitis vinifera L.

  • NDVI

  • MCARI

  • TCARI/OSAVI

  • yield

google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback