Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data.

Victor F StrîmbuErik NæssetHans Ole ØrkaJari LiskiHans PeterssonTerje Gobakken

Published in: Carbon balance and management (2023)

Our results show that ALS data can be used indirectly through a chain of models to estimate soil carbon changes in addition to changes in biomass at the primary level of forest management, namely the forest stands. Having control of the errors contributed by each model, the stand-level uncertainty can be estimated under a model-based inferential approach.

Keyphrases

climate change
electronic health record
wastewater treatment
big data
patient safety
magnetic resonance imaging
emergency department
plant growth
computed tomography
quality improvement
artificial intelligence
mass spectrometry
deep learning
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