Potential of remote sensing-based forest attribute models for harmonising large-scale forest inventories on regional level: a case study in Southwest Germany

Author:

Kirchhoefer MelanieORCID,Schumacher Johannes,Adler Petra

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

Reference44 articles.

1. Bundesministerium für Ernährung, Landwirtschaft und Verbraucherschutz (n.d.) BMEL - Federal Forest Inventory:Home. https://www.bundeswaldinventur.de/en/ . Accessed 29 Oct 2018

2. COST Action E43 (n.d.) Harmonisation of National Forest Inventories in Europe: techniques for common reporting. https://www.cost.eu/actions/E43#tabs|Name:overview . Accessed 29 Oct 2018

3. COST Action FP1001 (2014) Improving data and information on the potential supply of wood resources—a European Approach from multisource National Forest Inventories. https://sites.google.com/site/costactionfp1001/ . Accessed 26 Oct 2018

4. Deo RK, Froese RE, Falkowski MJ, Hudak AT (2016) Optimizing variable radius plot size and LiDAR resolution to model standing volume in conifer forests. Can J Remote Sens 42:428–442

5. DIABOLO (n.d.) Distributed, Integrated and Harmonised Forest Information for Bioeconomy Outlooks. http://diabolo-project.eu/ . Accessed 26 Oct 2018

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