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UID:pretalx-foss4g-2026-ATYYH3@talks.osgeo.org
DTSTART;TZID=JST:20260902T160000
DTEND;TZID=JST:20260902T163000
DESCRIPTION:Soil organic carbon (SOC) and total nitrogen were estimated usi
 ng Sentinel-2 vegetation indices and machine learning in northeastern Thai
 land. After outlier removal\, Random Forest achieved R² = 0.63 for SOC an
 d R² = 0.39 for total N\, with BSI and BAEI as dominant predictors.
DTSTAMP:20260605T110630Z
LOCATION:Conference Management Room5
SUMMARY:Estimation of Soil Organic Carbon and Total Nitrogen in Thailand's 
 Rubber Plantations Using Multispectral Imagery and Machine Learning Algori
 thms - Pramet Kaewmesri
URL:https://talks.osgeo.org/foss4g-2026/talk/ATYYH3/
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