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Classification of Forest Structural Types with LiDAR Remote Sensing Applied to Study Tree Size-Density Scaling Theories

Objective

The main goal of this research is to develop an objective methodology for monitoring forest structural complexity by airborne laser scanning (ALS) remote sensing. Most European countries are currently acquiring low-density national ALS data, by scanning with LiDAR sensors onboard airborne platforms, in the process to obtain full-country coverage and making it publicly available. These datasets are taken in relatively homogeneous conditions, therefore providing with a chance to develop Pan-European indicators and automated unsupervised methods not requiring field data. With the intention of producing a methodology that could be replicated in practice by any forest practitioner, publicly available ALS data from national land surveys of Member States will be used, and unsupervised methods not requiring field data will be developed. The laser partly penetrates the forest canopy, therefore providing an opportunity to study the establishment of natural regeneration in the understory layers. The analysis will be based on the study of the Lorenz curve, a method for which the applicant has obtained promising preliminary results and which the present proposal plans to generalize for more forest ecosystem types and low-density National laser datasets. The diameter distributions will be evaluated with regard to their agreement to metabolic ecology and demographic equilibrium theories. The development of a mathematical framework linking Lorenz ordering to diameter-density scaling relationships will provide with a method for authomated ecological evaluation of forests by means of ALS remote sensing. In practice this means that competition and forest disturbance conditions are different at different forest areas, and we suggest that the Lorenz method for ALS can provide indicators for these conditions. The application will be on a replicable method for forest stratification into structural types from ALS data acquired in national programmes.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2014

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Coordinator

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 195 454,80
Address
TRINITY LANE THE OLD SCHOOLS
CB2 1TN CAMBRIDGE
United Kingdom

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Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 195 454,80
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