Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 425039
Title Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations
Author(s) Wit, A.J.W. de; Duveiller, G.; Defourny, P.
Source Agricultural and Forest Meteorology 164 (2012). - ISSN 0168-1923 - p. 39 - 52.
DOI http://dx.doi.org/10.1016/j.agrformet.2012.04.011
Department(s) CGI - Earth Observation
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) remotely-sensed data - crop yield - ndvi data - spatial-resolution - model - validation - simulation - vegetation - radiation - avhrr
Abstract Here, we describe and test a method for optimising winter wheat green area index (GAI) simulated with the WOFOST crop model using MODIS estimates of GAI in the Walloon region of Belgium. Detailed crop type maps during the period of 2000–2009 were used to derive time series of crop-specific GAI by selecting only the 250-m MODIS pixels that have at least 75% purity of the target crop. Two important model parameters were optimised by minimising the difference between the simulated and observed GAI for each individual pixel and year. The resulting year-specific joint parameter distributions were then used to run an ensemble of crop simulations in which the ensemble was initialised by sampling from the joint distribution of the corresponding year. The semi-variograms of the retrieved parameters revealed that the spatial patterns were consistent with agricultural practices and that seasonal characteristics of weather patterns in Wallonia can explain – at least partially – the temporal variability observed in the retrieved parameter distributions. Finally, the results of the average ensemble crop simulation were aggregated to the provincial and regional levels. A validation using yields reported by EUROSTAT over the period 2000–2009 revealed that assimilating MODIS with GAI provides an improved relationship between simulation results and reported yields at the regional level.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.