Remote Sensing in Agriculture

Thursday, 1 October 2009 11:15 - 12:35, Meeting Room 1

Chair Mr Greg M Lyle The University of AdelaideAustralia
Input Parameter Selection Using Incremental Contribution of Variables for Soil Moisture Retrieval Using an Artificial Neural Network
  • Ms Soo-See Chai, Curtin University, Australia
Simulating Spatial Variability of Cereal Yields From Historical Yield Maps and Satellite Imagery
  • Dr Yash Pal Dang, Queensland Department of Natural Resources & Water, Toowoomba, Qld 4350, Australia
Crop Maturity Mapping Using a Low-Cost Low-Altitude Remote Sensing System
  • Assoc Prof Armando A Apan, Faculty of Engineering and Surveying & Australian Centre for Sustainable Catchments, University of Southern Queensland, Australia
A Framework to Quantify Nutrient Content And Nutritive Characteristic of Pasture Ecosystems Using Remote Sensing
  • Antonius GT Schut, Curtin University of Technology, Australia