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Mapping deep peat carbon stock from a LiDAR based DTM and field measurements, with application to eastern Sumatra.

08:00 EDT 23rd March 2020 | BioPortfolio

Summary of "Mapping deep peat carbon stock from a LiDAR based DTM and field measurements, with application to eastern Sumatra."

Reduction of carbon emissions from peatlands is recognized as an important factor in global climate change mitigation. Within the SE Asia region, areas of deeper peat present the greatest carbon stocks, and therefore the greatest potential for future carbon emissions from degradation and fire. They also support most of the remaining lowland swamp forest and its associated biodiversity. Accurate maps of deep peat are central to providing correct estimates of peat carbon stocks and to facilitating appropriate management interventions. We present a rapid and cost-effective approach to peat thickness mapping in raised peat bogs that applies a model of peat bottom elevation based on field measurements subtracted from a surface elevation model created from airborne LiDAR data.

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This article was published in the following journal.

Name: Carbon balance and management
ISSN: 1750-0680
Pages: 4

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