Agro-ecological modelling for monitoring rice productions: contribution of field experiment and multi-temporal EO data

M. Boschetti; R. Confalonieri; D. Stroppiana; S. Bocchi; P. A. Brivio

doi:10.1117/12.629428

17 October 2005 Agro-ecological modelling for monitoring rice productions: contribution of field experiment and multi-temporal EO data

M. Boschetti, R. Confalonieri, D. Stroppiana, S. Bocchi, P. A. Brivio

Author Affiliations +

Proceedings Volume 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII; 597601 (2005) https://doi.org/10.1117/12.629428
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

Crop growth and production can be simulated by models for the whole canopy as a function of intercepted radiation, water availability, air temperature and nitrogen availability. Simulation models supply quantitative outputs starting from quantitative inputs and they need quite complex databases to run simulations. In practice, the more complex and physically based these tools are, the more inputs are required for their application. In most cases such data are not available. This is the reason why, for large scale evaluations, simplified models are often applied and satellite data are used as input. In particular, multi-temporal Earth Observation data represent a valid tool to define crop phenological stages and derive temporal and spatial variability of vegetation biophysical parameters, such as the Leaf Area Index (LAI). In 2003 and 2004 two intensive field campaigns were conducted over different areas of the Italian Rice Belt, Northern Italy, with the objective of collecting data for growth model calibration. Field spectroradiometer measurements and LAI estimation, retrieved by LAI2000, have been used to study the best Vegetation Index (VI) for rice growth monitoring. VI vs LAI relationship has been scaled up to MODIS data to produce LAI map for the entire growing season and the key phenological rice events have been detected by multitemporal MODIS analysis. Preliminary results of rice production estimation using a Light Use efficiency model that ingests spatially distributed phenological information are presented. Comparison with CropSyst model phenological parameters are provided and the contribution of multi-temporal EO data for regional crop monitoring is discussed.

Citation Download Citation

M. Boschetti, R. Confalonieri, D. Stroppiana, S. Bocchi, and P. A. Brivio "Agro-ecological modelling for monitoring rice productions: contribution of field experiment and multi-temporal EO data", Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 597601 (17 October 2005); https://doi.org/10.1117/12.629428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available