Global Airborne Laser Scanning Data Providers Database (GlobALS) — a new tool for monitoring ecosystems and biodiversity
Please always quote using this URN: urn:nbn:de:bvb:20-opus-207819
- Protection 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 globalProtection 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.…
Author: | Krzysztof Stereńczak, Gaia Vaglio Laurin, Gherardo Chirici, David A. Coomes, Michele Dalponte, Hooman Latifi, Nicola Puletti |
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URN: | urn:nbn:de:bvb:20-opus-207819 |
Document Type: | Journal article |
Faculties: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
Language: | English |
Parent Title (English): | Remote Sensing |
ISSN: | 2072-4292 |
Year of Completion: | 2020 |
Volume: | 12 |
Issue: | 11 |
Article Number: | 1877 |
Source: | Remote Sensing (2020) 12:11, 1877. https://doi.org/10.3390/rs12111877 |
DOI: | https://doi.org/10.3390/rs12111877 |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 52 Astronomie / 526 Mathematische Geografie |
5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften | |
Tag: | GlobALS; LiDAR; database; forest; networking |
Release Date: | 2022/06/09 |
Date of first Publication: | 2020/06/09 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |