Mapping of models of forest fuel in the Canary Islands based on aerial LiDAR

New low cost methodologies based on LiDAR data to generate high resolution maps of models of forest fuel in large areas that can be updated.


END DATE: 2016

CLIENT: GRAFCAN, Cartográfica de Canarias, S.A.


Scientific article in the journal Remote Sensing of Environment

Article in number 65 of the journal Foresta

A method has been developed based on aerial LiDAR data in order to obtain maps of models of forest fuel at a large scale, and which are highly detailed.

Using the tri-dimensional information derived from LiDAR, the structure and continuity of the fuel is analysed, and then combined with information regarding the composition of the stand in order to classify the material in terms of the type of vegetation present.

The maps were obtained according to two different fuel classification systems: models specific to the Canary Islands and standard models from ICONA (the former Spanish Nature Conservation Institute) which are based on the American NFFL system. The methods used are highly extrapolatable to other forests in other regions, and enable the maps to be updated quickly when future LiDAR flights are carried out, and they provide reliable and useful information for the prevention and control of forest fires covering large areas

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