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Correction: Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification

  • Yohannes Ayanu,
  • Christopher Conrad,
  • Anke Jentsch,
  • Thomas Koellner

Correction: Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification

  • Yohannes Ayanu, 
  • Christopher Conrad, 
  • Anke Jentsch, 
  • Thomas Koellner
PLOS
x

There are errors in the first paragraph of the “Predicted undercover cropland” section of the Results. “Hectares per pixel” should read “m2 per pixel.”

There are errors in Fig 4 and in its caption. Please see the complete, correct Fig 4 here.

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Fig 4. Undercover cropland area predicted from most influential topographic factors identified using Boosted Regression Trees. (pixel size of 100 m2)

https://doi.org/10.1371/journal.pone.0137150.g001

There are errors in the caption for S5 Fig. Please view the correct S5 Fig. caption below.

Supporting Information

S5 Fig. Predicted undercover cropland in m2 per pixel.

Prediction using only most influential factors slope, elevation and east aspect (Fig a). Prediction using all topographic factors slope, elevation, east aspect, west aspect, south aspect and north aspect (Fig b). Pixel size is 100 m2.

https://doi.org/10.1371/journal.pone.0137150.s001

(PDF)

Reference

  1. 1. Ayanu Y, Conrad C, Jentsch A, Koellner T (2015) Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification. PLoS ONE 10(6): e0130079. pmid:26098107