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Communication Dans Un Congrès Année : 2011

Forest mapping and harvest planning with airborne laser scanning: an operational experiment in the French Alps

Utilisation du scanner laser aéroporté pour l'inventaire et la planification de l'exploitation forestière : étude de cas dans les Alpes françaises

Résumé

In mountainous areas, the lack of accessibility of forest stands hamper field surveys and increase harvest and transport costs. As a result, silvicultural operations are often limited to the selected felling of high-value trees. In this context the possibility to extract single tree information and precision digital terrain models (DTM) from airborne laser scanner data arises quite a lot of expectations among forest practitioners. Operational experiments were conducted in two areas of the French Alps (total : 200 km2). Single tree identification is performed on the whole area, based on the calibration process carried on 11 reference plots of 0.25 ha each. The digital terrain model is processed in a geographical information system to quantify skidder accessibility of forest stands. The obtained information is then aggregated at different scales depending on the information required at various planning levels. Aggregated stand information is used for long-term forest management planning and assessment of road network efficiency. Intermediate aggregated analysis (around 25 m pixel scale) is required for operational planning: identification of areas with high standing volumes and qualification of their accessibility. Finally, at task planning level, single tree information and metric DTM are useful for the optimisation of harvesting techniques with respect to topographical constraints and wood localisation, e.g. for road construction or cable logging setup. These first operational results are promising, however several issues have to be addressed before the potential of laser data can be fully exploited. Regarding forest inventory, ground survey protocols should be adapted in order to optimize their complementarity with remote sensing data and in particular to correct the bias of aggregated estimates derived from single tree inventories. Concerning harvesting, decision-making tools have yet to be improved in order to take advantage of high resolution data.

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Dates et versions

hal-02596325 , version 1 (15-05-2020)

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J.M. Monnet, A. Munoz, E. Mermin, N. Clouet, F. Berger. Forest mapping and harvest planning with airborne laser scanning: an operational experiment in the French Alps. 1st EARSeL SIG Forestry workshop, Jun 2011, Prague, Czech Republic. ⟨hal-02596325⟩

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