{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T18:11:14Z","timestamp":1774375874422,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T00:00:00Z","timestamp":1591660800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100013288","name":"LIFE programme","doi-asserted-by":"publisher","award":["LIFE13 ENV\/PL\/000048"],"award-info":[{"award-number":["LIFE13 ENV\/PL\/000048"]}],"id":[{"id":"10.13039\/100013288","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012962","name":"Narodowy Fundusz Ochrony \u015arodowiska i Gospodarki Wodnej","doi-asserted-by":"publisher","award":["485\/2014\/WN10\/OP-NM-LF\/D"],"award-info":[{"award-number":["485\/2014\/WN10\/OP-NM-LF\/D"]}],"id":[{"id":"10.13039\/100012962","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 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.<\/jats:p>","DOI":"10.3390\/rs12111877","type":"journal-article","created":{"date-parts":[[2020,6,10]],"date-time":"2020-06-10T05:11:46Z","timestamp":1591765906000},"page":"1877","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Global Airborne Laser Scanning Data Providers Database (GlobALS)\u2014A New Tool for Monitoring Ecosystems and Biodiversity"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9556-0144","authenticated-orcid":false,"given":"Krzysztof","family":"Stere\u0144czak","sequence":"first","affiliation":[{"name":"Department of Geomatics, Forest Research Institute, 05-090 Raszyn, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6728-3557","authenticated-orcid":false,"given":"Gaia Vaglio","family":"Laurin","sequence":"additional","affiliation":[{"name":"DIBAF\u2014Forest Ecology Lab, Tuscia University, 01100 Viterbo, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0669-5726","authenticated-orcid":false,"given":"Gherardo","family":"Chirici","sequence":"additional","affiliation":[{"name":"Geolab\u2014Laboratory of Forest Geomatics, Department of Agriculture, Food, Environment and Forestry, Universit\u00e0 degli Studi di Firenze, 50145 Firenze, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David A.","family":"Coomes","sequence":"additional","affiliation":[{"name":"Department of Plants Sciences, University of Cambridge Conservation Research Institute, Cambridge CB2 3QZ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9850-8985","authenticated-orcid":false,"given":"Michele","family":"Dalponte","sequence":"additional","affiliation":[{"name":"Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all\u2019Adige, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1054-889X","authenticated-orcid":false,"given":"Hooman","family":"Latifi","sequence":"additional","affiliation":[{"name":"Faculty of Geodesy and Geomatics Engineering, K.N. 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Serv."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/nature11148","article-title":"Biodiversity loss and its impact on humanity","volume":"486","author":"Cardinale","year":"2012","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/S0169-5347(01)02205-4","article-title":"Monitoring of biological diversity in space and time","volume":"16","author":"Yoccoz","year":"2001","journal-title":"Trends Ecol. Evol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/s41586-020-2035-0","article-title":"Asynchronous carbon sink saturation in African and Amazonian tropical forests","volume":"579","author":"Hubau","year":"2020","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s10712-019-09528-w","article-title":"Ground data are essential for biomass remote sensing missions","volume":"40","author":"Chave","year":"2019","journal-title":"Surv. Geophys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2015.11.010","article-title":"Comparing echo-based and canopy height model-based metrics for enhancing estimation of forest aboveground biomass in a model-assisted framework","volume":"174","author":"Chirici","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1768","DOI":"10.3390\/s90301768","article-title":"Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling","volume":"9","author":"Wu","year":"2009","journal-title":"Sensors"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wedeux, B., Dalponte, M., Schlund, M., Hagen, S., Cochrane, M., Graham, L., Usup, A., Thomas, A., and Coomes, D. (2020). Dynamics of a human-modified tropical peat swamp forest revealed by repeat lidar surveys. Glob. Chang. Boil.","DOI":"10.1111\/gcb.15108"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1641\/0006-3568(2002)052[0019:LRSFES]2.0.CO;2","article-title":"Lidar Remote Sensing for Ecosystem Studies","volume":"52","author":"Lefsky","year":"2002","journal-title":"BioScience"},{"key":"ref_10","first-page":"27","article-title":"Detecting and estimating attributes for single trees using laser scanner","volume":"16","author":"Inkinen","year":"1999","journal-title":"Photogramm. J. Finl."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1080\/02827580310019257","article-title":"Practical large-scale forest stand inventory using a small-footprint airborne scanning laser","volume":"19","year":"2004","journal-title":"Scand. J. For. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"543","DOI":"10.14358\/PERS.81.7.543","article-title":"The Universal Lidar Error Model (Approved for Public Release: 15\u2013144)","volume":"81","author":"Rodarmel","year":"2015","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Dong, P., and Chen, Q. (2017). LiDAR Remote Sensing and Applications, CRC Press.","DOI":"10.4324\/9781351233354"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1093\/jof\/103.6.286","article-title":"Light Detection and Ranging (LIDAR): An emerging tool for multiple resource inventory","volume":"103","author":"Reutebuch","year":"2005","journal-title":"J. Forest."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"807","DOI":"10.5558\/tfc84807-6","article-title":"The role of LiDAR in sustainable forest management","volume":"84","author":"Wulder","year":"2008","journal-title":"For. Chron."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1111\/j.1365-2664.2009.01677.x","article-title":"Assessing biodiversity by remote sensing in mountainous terrain: The potential of LiDAR to predict forest beetle assemblages","volume":"46","author":"Brandl","year":"2009","journal-title":"J. Appl. Ecol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.tree.2018.12.012","article-title":"Advances in microclimate ecology arising from remote sensing","volume":"34","author":"Zellweger","year":"2019","journal-title":"Trends Ecol. Evol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Valbuena, R., O\u2019Connor, B., Zellweger, F., Simonson, W., Vihervaara, P., Maltamo, M., Silva, C., Almeida, D., Danks, F., and Morsdorf, F. (2020). Standardizing Ecosystem Morphological Traits from 3D Information Sources. Trends Ecol. Evol.","DOI":"10.1016\/j.tree.2020.03.006"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0034-4257(88)90028-4","article-title":"Estimating forest biomass and volume using airborne laser data","volume":"24","author":"Nelson","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.rse.2008.09.009","article-title":"Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers","volume":"113","author":"Zhao","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Bouvier, M., Durrieu, S., Gosselin, F., and Herpigny, B. (2017). Use of airborne lidar data to improve plant species richness and diversity monitoring in lowland and mountain forests. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0184524"},{"key":"ref_22","first-page":"371","article-title":"Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests","volume":"52","author":"Laurin","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.rse.2015.09.016","article-title":"Estimating and mapping forest structural diversity using airborne laser scanning data","volume":"170","author":"Mura","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"8348","DOI":"10.3390\/rs70708348","article-title":"Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery","volume":"7","author":"Kent","year":"2015","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.foreco.2017.07.018","article-title":"Inventory of standing dead trees in the surroundings of communication routes\u2013The contribution of remote sensing to potential risk assessments","volume":"402","author":"Kraszewski","year":"2017","journal-title":"Forest Ecol. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2018.10.005","article-title":"Species-related single dead tree detection using multi-temporal ALS data and CIR imagery","volume":"219","author":"Kaminska","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1002\/rse2.7","article-title":"Will remote sensing shape the next generation of species distribution models?","volume":"1","author":"He","year":"2015","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.rse.2012.02.001","article-title":"Lidar sampling for large-area forest characterization: A review","volume":"121","author":"Wulder","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_29","first-page":"357","article-title":"Assessing Biodiversity by Airborne Laser Scanning","volume":"Volume 27","author":"Maltamo","year":"2013","journal-title":"Plant-Fire Interactions"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.5589\/m13-051","article-title":"Status and prospects for LiDAR remote sensing of forested ecosystems","volume":"39","author":"Wulder","year":"2013","journal-title":"Can. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1029\/2018EA000506","article-title":"The GEDI Simulator: A Large-Footprint Waveform Lidar Simulator for Calibration and Validation of Spaceborne Missions","volume":"6","author":"Hancock","year":"2019","journal-title":"Earth Space Sci."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Laurin, G.V., Pirotti, F., Callegari, M., Chen, Q., Cuozzo, G., Lingua, E., Notarnicola, C., and Papale, D. (2016). Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with lidar-derived estimates. Remote Sens., 9.","DOI":"10.3390\/rs9010018"},{"key":"ref_33","first-page":"101899","article-title":"Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates","volume":"82","author":"Laurin","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"111319","DOI":"10.1016\/j.rse.2019.111319","article-title":"Accuracy assessment of the TanDEM-X 90 Digital Elevation Model for selected floodplain sites","volume":"232","author":"Hawker","year":"2019","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/11\/1877\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:37:12Z","timestamp":1760175432000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/11\/1877"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,9]]},"references-count":34,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2020,6]]}},"alternative-id":["rs12111877"],"URL":"https:\/\/doi.org\/10.3390\/rs12111877","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,9]]}}}