Large area crop classification in New South Wales, Australia, using Landsat data

作者: KEN W. DAWBIN , JOHN C. EVANS

DOI: 10.1080/01431168808954853

关键词: CartographyGeographyPixelRemote sensingMaximum likelihoodConfusionLand coverCropGround truthTest sample

摘要: Abstract This paper describes digital crop classification techniques developed for Australian conditions. Using extensive ground truth data, supervized maximum likelihood was used to classify Landsat data from five dates across approximately half a scene into winter crops and other land cover types. Inaccuracies in the prediction of total hectarage an independent test sample pixels indicated confusion between wheat barley all combinations dates. However, when wheat, oats were considered together against non-winter crops, predictions very accurate demonstrated applicability this method classification.