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Methods and techniques for forest change detection and growth estimation using airborne laser scanning data

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Yu, Xiaowei
dc.date.accessioned 2012-08-21T05:29:21Z
dc.date.available 2012-08-21T05:29:21Z
dc.date.issued 2008
dc.identifier.isbn 978-951-711-270-3
dc.identifier.isbn 978-951-711-269-7 (printed) #8195;
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4525
dc.description.abstract Airborne laser scanning has been used increasingly for extracting and estimating forest parameters. Experiences in Nordic countries and Canada have shown that retrieval of stem volume and mean tree height on a tree or stand level from laser scanner data performs as well as, or better than, photogrammetric methods, and better than other remote sensing methods. The increasing interest in laser data for forestry applications has led to the present research, which quantifies forest growth and detects possible changes over time using repeated multi-temporal laser surveys over boreal forests. For the thesis, methods and techniques were developed for detecting change automatically and estimating forest growth using multi-temporal airborne laser scanning. The performance of these methods was evaluated based on the field measurements consisting of individual trees or sample plots. All the component studies were carried out in boreal forest at a test site in southern Finland. For the detection of change, e.g. harvested or fallen trees, an automatic method was developed based on the image differencing technique applied to digital canopy height models generated from laser data from different dates. New scientific approaches developed for height and volume growth estimation were the individual tree-top differencing method, digital surface differencing and canopy height distribution based analysis. In the individual tree-top differencing method, growth estimation was based on individual tree identification and a tree-to-tree matching algorithm. The digital surface differencing method was based on the difference image of digital surface models. In the analysis based on canopy height distribution, growth was determined as a function of the difference in corresponding percentiles of the canopy height distribution between different laser acquisitions. These methods can be applied at both the individual tree level and the plot/stand level. The findings reported in this thesis indicated that multi-temporal airborne laser scanner data can be used for estimating or predicting growth and detecting harvested area and fallen trees with an acceptable level of accuracy (an RMSE of less than 0.5 m for individual tree height growth, a standard deviation of about 6.7 m³ha−1 (26.8%) for volume growth and 0.15 m for mean height growth, and a detection accuracy of 80% for harvested trees). The methods developed could be used to complement field measurements, to improve predictions from a growth model and to develop new-generation forest growth models. en
dc.format.extent Verkkokirja (955 KB, 55 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Teknillinen korkeakoulu en
dc.relation.haspart [Publication 1]: Hyyppä, J., Hyyppä, H., Leckie, D., Gougeon, F., Yu, X. and Maltamo, M., Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests. International Journal of Remote Sensing, in press. en
dc.relation.haspart [Publication 2]: Yu, X., Hyyppä, J., Kaartinen, H. and Maltamo, M., 2004. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning. Remote Sensing of Environment, 90: 451-462. en
dc.relation.haspart [Publication 3]: Yu, X., Hyyppä, J., Kaartinen, H., Hyyppä, H., Maltamo, M. and Rönnholm, P., 2005. Measuring the growth of individual trees using multi-temporal airborne laser scanning point clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI (Part 3/W19) pp 204-208 (CD-ROM). © 2005 by authors. en
dc.relation.haspart [Publication 4]: Yu, X., Hyyppä, J., Kukko, A., Maltamo, M. and Kaartinen, H., 2006. Change detection techniques for canopy height growth measurements using airborne laser scanner data. Photogrammetric Engineering and Remote Sensing, 72 (12): 1339-1348. en
dc.relation.haspart [Publication 5]: Yu, X., Hyyppä, J., Kaartinen, H., Maltamo, M. and Hyyppä, H., Obtaining plotwise mean height and volume growth in boreal forests using multitemporal laser surveys and various change detection techniques. International Journal of Remote Sensing, in press. en
dc.subject.other Geoinformatics en
dc.subject.other Environmental science en
dc.title Methods and techniques for forest change detection and growth estimation using airborne laser scanning data en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.department Maanmittausosasto fi
dc.subject.keyword airborne laser scanning en
dc.subject.keyword DTM en
dc.subject.keyword CHM en
dc.subject.keyword DSM en
dc.subject.keyword tree height en
dc.subject.keyword individual tree en
dc.subject.keyword change detection en
dc.subject.keyword height growth en
dc.subject.keyword volume growth en
dc.subject.keyword canopy height distribution en
dc.identifier.urn URN:ISBN:978-951-711-270-3
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
local.aalto.digifolder Aalto_63498
local.aalto.digiauth ask


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