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Selection: Thenkabail:PS [1 article] 

Publications by author Thenkabail:PS.
 

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

  
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 144 (October 2018), pp. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017

Abstract

[Highlights] [::] Demonstrated a paradigm shift in continent-scale 30-m Landsat cropland mapping. [::] Captured spatial extent of very small to very large farms in Australia and China. [::] Applied Random Forest machine learning algorithm on cloud computing platform. [::] Overall accuracies of 30-m cropland products of Australia and China exceeded 94%. [::] Errors of omissions of cropland class were 1.2% for Australia and 20% for China. [::] Product view at: www.croplands.org download at: https://lpdaac.usgs.gov/node/1282. [Abstract] Mapping high resolution (30-m or better) cropland extent over very large areas such as ...

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