The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.
Remote sensing in forestry: current challenges, considerations and directions
Open accessAbstract
Remote sensing has developed into an omnipresent technology in the scientific field of forestry and is also increasingly used in an operational fashion. However, the pace and level of uptake of remote sensing technologies into operational forest inventory and monitoring programs varies notably by geographic region. Herein, we highlight some key challenges that remote sensing research can address in the near future to further increase the acceptance, suitability and integration of remotely sensed data into operational forest inventory and monitoring programs. We particularly emphasize three recurrent themes: (1) user uptake, (2) technical challenges of remote sensing related to forest inventories and (3) challenges related to map validation. Our key recommendations concerning these three thematic areas include (1) a need to communicate and learn from success stories in those geographic regions where user uptake was successful due to multi-disciplinary collaborations supported by administrative incentives, (2) a shift from regional case studies towards studies addressing ‘real world’ problems focusing on forest attributes that match the spatial scales and thematic information needs of end users and (3) an increased effort to develop, communicate, and apply best-practices for map and model validation including an effort to inform current and future remote sensing scientists regarding the need for and the functionalities of these best practices. Finally, we present information regarding the use of remote sensing for forest inventory and monitoring, combined with recommendations where possible, and highlighting areas of opportunity for additional investigation.
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Cites
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Self-citationReview on Convolutional Neural Networks (CNN) in vegetation remote sensing
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THE REFINEMENT TO THE 2006 IPCC GUIDELINES FOR NATIONAL GREENHOUSE GAS INVENTORIES
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The Harmonized Landsat and Sentinel-2 surface reflectance data set
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Metadata
- Authors
- Fassnacht, F. E., White, J. C., Wulder, M. A., & Næsset, E.
- Venue
- Forestry: An International Journal of Forest Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-05-10
- Volume
- 97
- Issue
- 1
- Pages
- 11-37
- ISSN
- 0015-752X (ISSN-L)
- 1464-3626
- OpenAlex
- W4376139050
- Cited by
- 353
- References
- 145
- FWCI
- 29.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Fassnacht, F. E., White, J. C., Wulder, M. A., & Næsset, E. (2024). Remote sensing in forestry: current challenges, considerations and directions. Forestry: An International Journal of Forest Research. https://doi.org/10.1093/forestry/cpad024
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.