Random forest variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature.

<p>In the naming convention for MODIS bands and indices, the term ’Early’ pertained to the 15-day composite image representing the first half of the month (days 1–16), while ’Late’ pertained to the second half of the month (days 17–31).</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-12-12
DOI
https://doi.org/10.1371/journal.pone.0309982.s001
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

Random forest variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature.

Figshare
Remote Sensing in Agriculture
article

Random forest variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature.

article en

Abstract

<p>In the naming convention for MODIS bands and indices, the term ’Early’ pertained to the 15-day composite image representing the first half of the month (days 1–16), while ’Late’ pertained to the second half of the month (days 17–31).</p> <p>(DOCX)</p>

Figshare
Life in Land
Openalex Percentile: Top 71%
Remote Sensing in Agriculture
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Random forest variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature. · Figshare (2024) | TGRS Research Map | TGRS