where N=total number of validation

where N=total number of validation windows (in this case, 30), pVGT (TM), i=burnt
proportion of each window as derived from VGT (TM) images.
This error measure was preferred to more conventional metrics based on the
sum of the square deviation because it is more robust to the influence of outliers,
such as the case of validation window 5 discussed below.

0/5000

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Results (Indonesian) 1: [Copy]

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where N=total number of validation windows (in this case, 30), pVGT (TM), i=burntproportion of each window as derived from VGT (TM) images.This error measure was preferred to more conventional metrics based on thesum of the square deviation because it is more robust to the influence of outliers,such as the case of validation window 5 discussed below.

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Results (Indonesian) 2:[Copy]

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dimana N = jumlah total jendela validasi (dalam hal ini, 30), pVGT (TM), i = dibakar
proporsi masing-masing jendela sebagai berasal dari VGT (TM) gambar.
Ukuran Kesalahan ini lebih disukai untuk metrik yang lebih konvensional didasarkan pada
jumlah deviasi persegi karena lebih kuat untuk pengaruh outlier,
seperti kasus validasi jendela 5 dibahas di bawah.

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Results (Indonesian) 3:[Copy]

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