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Lindgren, Nils, Christensen, Pernilla, Nilsson, Björn, Åkerholm, Marianne, Allard, Anna, Reese, Heather, Olsson, Håkan (2015) Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey. Remote Sensing, 7 (4). doi:10.3390/rs70404253

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Reference TypeJournal (article/letter/editorial)
TitleUsing Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey
JournalRemote Sensing
AuthorsLindgren, NilsAuthor
Christensen, PernillaAuthor
Nilsson, BjörnAuthor
Åkerholm, MarianneAuthor
Allard, AnnaAuthor
Reese, HeatherAuthor
Olsson, HåkanAuthor
Year2015 (April 9)Volume7
Issue4
PublisherMDPI AG
DOIdoi:10.3390/rs70404253Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17804587Long-form Identifiermindat:1:5:17804587:6
GUID0
Full ReferenceLindgren, Nils, Christensen, Pernilla, Nilsson, Björn, Åkerholm, Marianne, Allard, Anna, Reese, Heather, Olsson, Håkan (2015) Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey. Remote Sensing, 7 (4). doi:10.3390/rs70404253
Plain TextLindgren, Nils, Christensen, Pernilla, Nilsson, Björn, Åkerholm, Marianne, Allard, Anna, Reese, Heather, Olsson, Håkan (2015) Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey. Remote Sensing, 7 (4). doi:10.3390/rs70404253
In(2015, April) Remote Sensing Vol. 7 (4). MDPI AG

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Nilsson, Mats, Nordkvist, Karin, Jonzén, Jonas, Lindgren, Nils, Axensten, Peder, Wallerman, Jörgen, Egberth, Mikael, Larsson, Svante, Nilsson, Liselott, Eriksson, Johan, Olsson, Håkan (2017) A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory. Remote Sensing of Environment, 194. 447-454 doi:10.1016/j.rse.2016.10.022
Reese, Heather, Olsson, Håkan (2011) C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical c-parameter. Remote Sensing of Environment, 115 (6). 1387-1400 doi:10.1016/j.rse.2011.01.019
Granholm, Ann-Helen, Lindgren, Nils, Olofsson, Kenneth, Nyström, Mattias, Allard, Anna, Olsson, Håkan (2017) Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden. International Journal of Remote Sensing, 38 (7). doi:10.1080/01431161.2017.1283074
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Nilsson, M., Holm, S., Wallerman, J., Reese, H., Olsson, H. (2009) Estimating annual cuttings using multi-temporal satellite data and field data from the Swedish NFI. International Journal of Remote Sensing, 30 (19). doi:10.1080/01431160903022910
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