ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE)
This dataset consists of analysis-ready (geotif, projected, 30m) grids of canopy relative height (RH), complexity, cover, and ground elevation collected from NASA's Land, Vegetation, and Ice Sensor (LVIS) and provide a useful representation of the footprint-level waveform estimates of the verti...
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ORNL Distributed Active Archive Center
2021
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Online Access: | https://dx.doi.org/10.3334/ornldaac/1923 https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1923 |
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ftdatacite:10.3334/ornldaac/1923 2023-05-15T15:00:06+02:00 ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) Montesano, P.M. Macander, M.J. Hoy, E.E. 2021 None https://dx.doi.org/10.3334/ornldaac/1923 https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1923 en eng ORNL Distributed Active Archive Center https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=34 Collection article Data Files 2021 ftdatacite https://doi.org/10.3334/ornldaac/1923 2021-11-05T12:55:41Z This dataset consists of analysis-ready (geotif, projected, 30m) grids of canopy relative height (RH), complexity, cover, and ground elevation collected from NASA's Land, Vegetation, and Ice Sensor (LVIS) and provide a useful representation of the footprint-level waveform estimates of the vertical structure of vegetation. These data were gridded by applying function in the R 'raster' package to LVIS L2 ASCI text files that are openly available from earthdata.nasa.gov. The data are organized by LVIS flightline name. There are 1051 flight lines for the 2017 data, and 2527 for the 2019 data. Each flight line has 46 individual geotifs, for a total of 164,588 files. Article in Journal/Newspaper Arctic Alaska DataCite Metadata Store (German National Library of Science and Technology) Arctic Canada |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
This dataset consists of analysis-ready (geotif, projected, 30m) grids of canopy relative height (RH), complexity, cover, and ground elevation collected from NASA's Land, Vegetation, and Ice Sensor (LVIS) and provide a useful representation of the footprint-level waveform estimates of the vertical structure of vegetation. These data were gridded by applying function in the R 'raster' package to LVIS L2 ASCI text files that are openly available from earthdata.nasa.gov. The data are organized by LVIS flightline name. There are 1051 flight lines for the 2017 data, and 2527 for the 2019 data. Each flight line has 46 individual geotifs, for a total of 164,588 files. |
format |
Article in Journal/Newspaper |
author |
Montesano, P.M. Macander, M.J. Hoy, E.E. |
spellingShingle |
Montesano, P.M. Macander, M.J. Hoy, E.E. ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
author_facet |
Montesano, P.M. Macander, M.J. Hoy, E.E. |
author_sort |
Montesano, P.M. |
title |
ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
title_short |
ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
title_full |
ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
title_fullStr |
ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
title_full_unstemmed |
ABoVE: Gridded LVIS Vegetation Structure across Alaska and Canada, 2017 and 2019 : Arctic-Boreal Vulnerability Experiment (ABoVE) |
title_sort |
above: gridded lvis vegetation structure across alaska and canada, 2017 and 2019 : arctic-boreal vulnerability experiment (above) |
publisher |
ORNL Distributed Active Archive Center |
publishDate |
2021 |
url |
https://dx.doi.org/10.3334/ornldaac/1923 https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1923 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_relation |
https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=34 |
op_doi |
https://doi.org/10.3334/ornldaac/1923 |
_version_ |
1766332221068673024 |