ID:
technologies-828
Name:
Random Forest Model for SSM Prediction
Technology:
Random Forest
Type:
Modeling
Data used as input:
Land surface temperature, vegetation indices, soil texture, geographical information, precipitation, in situ soil moisture data
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model
Paper DOI (if available):
10.3390/rs13234893
Project ID (if available):
862756
Project Acronym (if available):
OPTAIN
Service description:
Predicts global surface soil moisture using Random Forest.
