Harmonic amplitude-terms mask to highlight agriculture in the savanna domain below the Brazilian Amazonian frontier

摘要

In the present decade, agricultural monitoring has increased in importance world-wide mainly due to sensitive matters, such as the current food crises, bio-fuels boom and the land-use/land-cover (LULC) changes from savanna (Brazilian Cerrados) and forest areas to agricultural expansion. In this complex context there is a requirement for quick and operational procedures to monitor change. We propose a simple but effective technique to mask out and identify annual crop areas (e.g. soybean) in the Brazilian Amazonian frontier using lower-order terms from a harmonic analysis approach derived by the Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Preliminary results highlighted how annual crop areas and planted pasture from other vegetal units are easily separated using threshold slicing to generate a binary-mask of annual crops. Comparison with the reference map reached an overall accuracy of 91.89%, with overall kappa statistics of 0.8238.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/01431161.2010.495096