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machine learning guided monitoring

Scope: methodological
Papers: 1 | Mentions: 1

Local Knowledge Graph (15 entities)

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Knowledge graph centered on machine learning guided monitoring with 15 nodes and 31 connections. Top connected: mountain hydrology, stand density effects, structure from motion, Random Forest, Model and remote-sensing-guided experimental desig.

Definition

Using machine learning algorithms to optimize observation locations by identifying key controls and spatial heterogeneity in ecosystem responses

Related Terms (1)

ML-enabled strategy

Publications (1)

article

Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions

2024Frontiers in Waterframework

Related Concepts (4)

foresummer drought sensitivity

measurement2 shared papers

stand density effects

phenomenon1 shared paper

mountain hydrology

framework1 shared paper

Gaussian mixture model

model type1 shared paper