Multi-scale remote sensing-assisted forest inventory: a glimpse of the state-of-the-art and future prospects
Abstract: Advances in remote inventory and analysis of forest resources during the last decade have reached a level to be now considered as a crucial complement, if not a surrogate, to the long-existing field-based methods. This is mostly reflected in not only the use of multiple-band new active and passive remote sensing data for forest inventory, but also in the methodic and algorithmic developments and/or adoptions that aim at maximizing the predictive or calibration performances, thereby minimizing both random and systematic errors, in particular for multi-scale spatial domains. With this in mind, this editorial note wraps up the recently-published Remote Sensing special issue “Remote Sensing-Based Forest Inventories from Landscape to Global Scale”, which hosted a set of state-of-the-art experiments on remotely sensed inventory of forest resources conducted by a number of prominent researchers worldwide
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Remote sensing. - 11, 11 (2019) , 1260, ISSN: 2072-4292
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2021
- Creator
- DOI
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10.3390/rs11111260
- URN
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urn:nbn:de:bsz:25-freidok-2207233
- Rights
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:53 PM CET
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Latifi, Hooman
- Heurich, Marco
- Universität
Time of origin
- 2021
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