355
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Near real-time Feed On Offer (FOO) from MODIS for early season grazing management of Mediterranean annual pastures

, , , , , , , , & show all
Pages 4445-4460 | Received 19 Mar 2008, Accepted 26 Feb 2010, Published online: 22 Aug 2011
 

Abstract

Near real-time estimation of Feed On Offer (FOO) from Moderate Resolution Imaging Spectroradiometer (MODIS) data was developed to help farmers improve their grazing management during early growth of annual pastures to maximize grass utilization for wool production. Data were collected from 72 fields on 15 farms in southwestern Australia. From these data, an exponential relationship at the field scale between the Normalized Difference Vegetation Index (NDVI) estimated from MODIS and FOO data was derived for the vegetative growth phase for FOO between 0 and 2000 kg ha–1 (R 2 = 0.71–0.75). This relationship transformed the dimensionless index NDVI to a dimensioned (kg ha–1) measure of FOO, from which farmers could apply extension advice received from the Western Australian (WA) Department of Agriculture and Food Production (DAFP). Above an FOO of 2000 kg ha–1 or when the annual pasture species began to senesce, the relationship ceased to have predictive value. Near real-time estimates of FOO from MODIS proved useful to farmers despite an apparent standard error of ±300 kg ha–1. How to reduce the errors in FOO predicted from MODIS NDVI is also discussed.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.