By Topic

Classifying agricultural land uses with time series of satellite images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
North, H. ; Landcare Res. New Zealand Ltd., Palmerston North, New Zealand ; Pairman, D. ; Belliss, S.E. ; Cuff, J.

Use of temporal signatures to classify the complex land use patterns in Canterbury New Zealand is investigated. Two datasets of detailed field histories spanning 5-7 years are used to develop a rule set for classifying from satellite imagery (SPOT/Landsat). While many individual crops proved inseparable, a broader set of land use classes such as `winter forage' or `summer arable crop' were defined that could be separated with accuracies between 71% and 96% (averaging 82% over 8 classifications). These broader land use classes will be used in a second stage of the project to guide and constrain classifications incorporating spectral information from the crop's peak NDVI phase.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Date of Conference:

22-27 July 2012