Use of remote sensing satellite images to predict pasture biomass on Waikato dairy farms
Introduction Efficient pasture management is a key component of profitable dairy farming in New Zealand ( NZ),yet feed budgeting is only used on about 20％ of dairy farms (Clark et al.,2006).Current methods of pasture biomass assessment by NZ dairy farmers using visual assessment,rising plate meter ( RPM ),pasture probe or rapid pasture meter are time-consuming.Satellite images can save time and labour by rapidly providing individual paddock yields to assist management decisions.Remote sensing by satellite images relies on the fact that different levels of plant biomass differentially reflect red and near infra-red (NIR) electromagnetic radiation.This information is used to calculate an index of plant greenness or Normalised Difference Vegetation Index( NDVI).The relationship between NDVI and pasture biomass allows pasture biomass to be predicted at the paddock or regional scale ( Mata et al.,2007 ).
satellite imagery remote sensing pasture biomass
C.D.Waugh D.A.Clark S.F.Petch G.Mata A.Edirisinghe Z.Ward
Dairy NZ,Private Bag 3221,Hamilton,New Zealand Commonwealth Scientific and Industrial Research Organisation (CSIRO),Livestock Industries,Private Ba Fonterra Co-operative Group Limited,Private Bag 92032,Auckland,New Zealand
国际会议
呼和浩特
英文
2008-06-29（万方平台首次上网日期，不代表论文的发表时间）