Melissa Latella
Calibration of a stochastic model for riparian vegetation dynamics from LiDAR acquisitions. The case study of Cinca River.
Rel. Carlo Vincenzo Camporeale, Paolo Vezza, Monica Riva. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2018
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Abstract
Carbon cycle has recently been revised in view of the understanding of the relevant contribution of inland waters to the definition of the total C budget. Particularly, the role of rivers has been revaluated, recognizing their relevance as active components of this cycle, and not merely as passive pipes that convey carbon from lands to oceans, and thus driving numerous academic institutions to point their researches to the so-called River Carbon Cycle. As the contribution of Politecnico di Torino in this direction is the investigation of the carbon sequestration in riparian corridors, this dissertation was inserted in this frame by the definition of its two main objectives: the evaluation of the use of LiDAR to estimate riparian biomass and the calibration of a stochastic model, which describes riparian vegetation growth according to topographic and hydrological constraints, on the basis of real LiDAR data measurements.
Although numerous LiDAR-based models for the estimation of above-ground biomass in forest stands have been regressed, no studies concerned riparian corridors, where tree population is generally younger and sparser
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