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Forestry An International Journal of Forest Research
Article . 2024 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products

Authors: Fabian Ewald Fassnacht; Christoph Mager; Lars T Waser; Urša Kanjir; Jannika Schäfer; Ana Potočnik Buhvald; Elham Shafeian; +6 Authors

Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products

Abstract

Abstract Despite decades of development, the uptake of remote sensing-based information products in the forestry sector is still lagging behind in central and southern Europe. This may partly relate to a mismatch of the developed remote sensing products and the requirements of potential users. Here, we present the results of a questionnaire survey in which we questioned 355 forest practitioners from eight central and southern European countries. We aimed to learn about forest practitioners' technical requirements for four remote sensing-based information products, including information on tree species, canopy height, wood volume/biomass, and forest disturbances. We asked for practitioners’ preferences with respect to thematic and spatial detail as well as the maximal acceptable error and the temporal frequency with which the information layers would be needed. We then examined whether the education, age, and professional background affect the requirements. Preferences with respect to spatial and thematic detail were comparably diverse while more homogenous patterns could be observed for demands with respect to errors and temporal frequency. Our results indicate that for some information products such as canopy height maps, existing remote sensing technology, and workflows can match all demands of practitioners. Remotely sensed information on forest disturbances partly fulfils the demands of the practitioners while for products related to tree species and wood volume/biomass the level of thematic detail and the accuracy of the products demanded by practitioners in central and southern Europe is not yet fully matched. We found no statistically significant differences between the demographic groups examined. The findings of this study improve our understanding of matches and mismatches of the technical requirements of practitioners for remote sensing-based information products.

Countries
Slovenia, Italy, Slovenia, Germany
Keywords

570, Settore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURA, Geography & travel, anketa, daljinsko zaznavanje, gozdni delavci, drevesne vrste, biomasa, 910, Disturbances, practitioners, survey, remote sensing, tree species, biomass, disturbances, ddc:910, 630, Remote Sensing, Practitioners, info:eu-repo/classification/udc/630*5, info:eu-repo/classification/ddc/910, Biomass, Survey, Tree species

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average