.png){kind=icon}
.png){kind=icon}
Return
A global synthesis of spectroscopy-based prediction accuracy for soil carbon fractions: A systematic review
.png){kind=icon}
PRE
AI
S
Y
E
T
H
Z
DOI：10.1016/j.still.2026.107242.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• MIR spectroscopy showed a prediction advantage specific to MAOC over NIR. • PLSR methods showed the highest pooled prediction performance among model families. • Soil texture and latitude were dominant drivers of POC prediction. • POC prediction accuracy was higher in mid- to high-latitude regions. • MAOC prediction is sensitive to spectroscopy type and soil texture.
Keywords:
MIR spectroscopy
PLSR methods
soil texture
latitude
soil carbon fractions
Journal
IF:
6.8
Papers:
5.6K
Citations:
2.6W
Organization
Cited Papers