Journal article 855 views
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar
Photogrammetric Engineering & Remote Sensing, Volume: 82, Issue: 5, Pages: 351 - 363
Swansea University Author: Natascha Kljun
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DOI (Published version): 10.14358/PERS.82.5.351
Abstract
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar
Published in: | Photogrammetric Engineering & Remote Sensing |
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ISSN: | 00991112 |
Published: |
2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa31337 |
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2017-11-15T12:01:31.7985556 v2 31337 2016-11-29 ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar c96172d106206ba8c504317bb7887587 0000-0001-9650-2184 Natascha Kljun Natascha Kljun true false 2016-11-29 FGSEN Journal Article Photogrammetric Engineering & Remote Sensing 82 5 351 363 00991112 1 5 2016 2016-05-01 10.14358/PERS.82.5.351 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-11-15T12:01:31.7985556 2016-11-29T21:45:50.8390230 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Craig Mahoney 1 Chris Hopkinson 2 Alex Held 3 Natascha Kljun 0000-0001-9650-2184 4 Eva Van Gorsel 5 |
title |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
spellingShingle |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar Natascha Kljun |
title_short |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
title_full |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
title_fullStr |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
title_full_unstemmed |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
title_sort |
ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar |
author_id_str_mv |
c96172d106206ba8c504317bb7887587 |
author_id_fullname_str_mv |
c96172d106206ba8c504317bb7887587_***_Natascha Kljun |
author |
Natascha Kljun |
author2 |
Craig Mahoney Chris Hopkinson Alex Held Natascha Kljun Eva Van Gorsel |
format |
Journal article |
container_title |
Photogrammetric Engineering & Remote Sensing |
container_volume |
82 |
container_issue |
5 |
container_start_page |
351 |
publishDate |
2016 |
institution |
Swansea University |
issn |
00991112 |
doi_str_mv |
10.14358/PERS.82.5.351 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
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0 |
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published_date |
2016-05-01T03:38:17Z |
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1763751700929183744 |
score |
11.037603 |