This article by Dr Joanne Nightingale (CSX Carbon) and Tom Verhelst (Ghent University) is looking the use of ldiar to quantify forest carbon.
Abstract:
CSX Carbon, a North Yorkshire (UK) based environmental data and analytics business, is building the infrastructure to create transformative, trusted Carbon, Natural Capital and Biodiversity markets. By employing innovative methods and cutting-edge earth observation technologies to measure, monitor and verify nature-based solutions, coupled with our relationships with land holders, we can source home grown, auditable and traceable carbon offsets. The CSX infrastructure offers land managers a fair return for environmental management whilst connecting them with businesses who will, in return receive a carbon offset with an audit trail that is transparent and verifiable. During our initial research, earlier experience with RIEGL sensors coupled with previous academic and white papers citing data captured with RIEGL sensors (both terrestrial and airborne LiDAR), informed our equipment technology selection. Consequently, CSX Carbon acquired and are now using the RIEGL VZ-400i terrestrial laser scanner (TLS) from RIEGL UK for accurate documentation, which will be undertaken on a larger more productive scale than previously.
Background:
The voluntary carbon market has the potential to expedite a transition to global NetZero by mobilizing private sector funding of nature-based solutions (NBS), such as environmentally sustainable land use change and management (i.e. afforestation, reforestation). However, reliable quantification of the climate mitigation benefits of land sector protection or restoration requires accurate measurement, monitoring and verification of vegetation above ground biomass (AGB) that has not been undertaken operationally on a large scale to date. Estimating forest aboveground carbon stocks has traditionally required measurement of standard tree mensuration parameters, such as diameter at breast height (DBH, measured at 1.3m), tree height and number of trees per area, using manual sampling protocols, a tape measure and clinometer. These data are then used to estimate stem volume using mensuration tables or sample harvest data and then appropriate empirical relationships (allometric equations) are used to estimate whole-tree biomass, and therefore C stocks.
For the complete article CLICK HERE.
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