Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/2067/2785
Titolo: | Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data | Autori: | Vaglio Laurin, Gaia Puletti, Nicola Hawthorne, William Liesenberg, Veraldo Corona, Piermaria Papale, Dario Chen, Qi Valentini, Riccardo |
Parole chiave: | Dominant species;Forest;Forest type;Functional composition;Guilds;Hyperspectral;Tropical;Sentinel-2 | Data pubblicazione: | 2016 | Editore: | Elsevier | Fonte: | Vaglio Laurin, G. et al. 2016. Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data." Remote Sensing of Environment" 176: 163–176 | Abstract: | To answer new scientific and ecological questions and monitor multiple forest changes, a fine scale characterization of these ecosystems is needed, and could imply the mapping of specific species, of detailed forest types, and of functional composition. This characterization can be now provided by the novel Earth Observation tools. This study aims to contribute to understanding the innovation in forest and ecological research that can be brought in by advanced remote sensing instruments, and proposes the guild mapping approach as a tool to efficiently monitor the varied tropical forest resources. We evaluated, in tropical Ghanaian forests, the ability of airborne hyperspectral and simulated multispectral Sentinel-2 data, and derived vegetation indices and textures, to: distinguish between two different forest types; to discriminate among selected dominant species; and to separate trees species grouped according to their functional guilds: Pioneer, Non Pioneer Light Demanding, and Shade Bearer. We then produced guild classification maps for each area using hyperspectral data. Our results showed that with both hyperspectral and simulated Sentinel-2 data these discrimination tasks can be successfully accomplished. Results also stressed the importance of texture features, especially if using the lower spectral and spatial Sentinel-2 resolution data, and highlighted the important role of the new Sentinel-2 data for ecological monitoring. Classification results showed a statistically significant improvement in overall accuracy using Support Vector Machine, over Maximum Likelihood approach. We proposed the functional guilds mapping as an innovative approach to: (i) monitor compositional changes, especially with respect to the effects of global climate change on forests, and particularly in the tropical biome where the occurrence of hundreds of species prevents mapping activities at species level; (ii) support large-scale forest inventories. The imminent Sentinel-2 data could serve to open the road for the development of new concepts and methods in forestry and ecological research. |
URI: | http://hdl.handle.net/2067/2785 | ISSN: | 0034-4257 | DOI: | http://dx.doi.org/10.1016/j.rse.2016.01.017 |
È visualizzato nelle collezioni: | DIBAF - Archivio della produzione scientifica |
File in questo documento:
File | Descrizione | Dimensioni | Formato | |
---|---|---|---|---|
RSE_tropical forest guilds_1.pdf | 173.39 kB | Adobe PDF | Visualizza/apri |
Page view(s)
128
Last Week
0
0
Last month
0
0
controllato il 27-mar-2024
Download(s)
394
controllato il 27-mar-2024
Google ScholarTM
Check
Altmetric
Tutti i documenti nella community "Unitus Open Access" sono pubblicati ad accesso aperto.
Tutti i documenti nella community Prodotti della Ricerca" sono ad accesso riservato salvo diversa indicazione per alcuni documenti specifici