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

Ronald VernimmenAljosja HooijerRizka AkmaliaNatan FitranatanegaraDedi MulyadiAngga YuherdhaHeri AndreasSusan E Page
Published in: Carbon balance and management (2020)
We discuss how the deep peat map may be used to identify priority areas for peat and forest conservation and thereby help prevent major potential future carbon emissions and support the safeguarding of the remaining forest and biodiversity. We propose rapid application of this method to other coastal raised bog peatland areas in SE Asia in support of improved peatland zoning and management. We demonstrate that the upcoming global ICESat-2 and GEDI satellite LiDAR coverage will likely result in a global DTM that, within a few years, will be sufficiently accurate for this application.
Keyphrases
  • climate change
  • high resolution
  • healthcare
  • risk assessment
  • mass spectrometry