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EnglishProtection and recovery of natural resource and biodiversity requires accurate monitoring at multiple scales. Airborne Laser Scanning (ALS) provides high-resolution imagery that is valuable for monitoring structural changes to vegetation, providing a reliable reference for ecological analyses and comparison purposes, especially if used in conjunction with other remote-sensing and field products. However, the potential of ALS data has not been fully exploited, due to limits in data availability and validation. To bridge this gap, the global network for airborne laser scanner data (GlobALS) has been established as a worldwide network of ALS data providers that aims at linking those interested in research and applications related to natural resources and biodiversity monitoring. The network does not collect data itself but collects metadata and facilitates networking and collaborative research amongst the end-users and data providers. This letter describes this facility, with the aim of broadening participation in GlobALS.
Stereńczak, K.; Vaglio Laurin, G.; Chirici, G.; Coomes, D.A.; Dalponte, M.; Latifi, H.; Puletti, N. (2020). Global Airborne Laser Scanning Data Providers Database (GlobALS: a new tool for monitoring ecosystems and biodiversity. REMOTE SENSING, 12 (11): 1877. doi: 10.3390/rs12111877 handle: http://hdl.handle.net/10449/63134
| Citation: | Stereńczak, K.; Vaglio Laurin, G.; Chirici, G.; Coomes, D.A.; Dalponte, M.; Latifi, H.; Puletti, N. (2020). Global Airborne Laser Scanning Data Providers Database (GlobALS: a new tool for monitoring ecosystems and biodiversity. REMOTE SENSING, 12 (11): 1877. doi: 10.3390/rs12111877 handle: http://hdl.handle.net/10449/63134 |
| Internal authors: | |
| Organization unit: | Department of Sustainable Agro-ecosystems and Bioresources # CRI |
| Authors: | Stereńczak, K.; Vaglio Laurin, G.; Chirici, G.; Coomes, D.A.; Dalponte, M.; Latifi, H.; Puletti, N. |
| Title: | Global Airborne Laser Scanning Data Providers Database (GlobALS: a new tool for monitoring ecosystems and biodiversity |
| Journal: | REMOTE SENSING |
| Issue Date: | 2020 |
| Scientific Disciplinary Area: | Settore AGR/05 - Assestamento Forestale E Selvicoltura |
| Keywords ENG: | LiDAR Forest Database Networking GlobALS |
| Language: | English |
| IF: | With Impact Factor ISI |
| Publication status: | Published |
| Nature of content: | Articolo in rivista/Article |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.3390/rs12111877 |
| Appears in Collections: | 01 - Journal article |
Files in This Item:
| File | Description | Type | License | |
|---|---|---|---|---|
| remotesensing-12-01877.pdf | Versione editoriale (Publisher’s layout) |  | Open AccessView/Open |
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