ALS-based wood volume models of forest stands and comparison with forest inventory data
Airborne laser scanning (ALS) based standing wood volume models were analysed in two contrasting test sites with different forest types in Estonia. In Aegviidu test site main tree species are Scots pine and Norway spruce and Laeva test site is mainly dominated by deciduous species. ALS data measurem...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-06-01
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| Series: | Metsanduslikud Uurimused |
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| Online Access: | https://doi.org/10.1515/fsmu-2016-0001 |
| _version_ | 1818744682949115904 |
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| author | Arumäe Tauri Lang Mait |
| author_facet | Arumäe Tauri Lang Mait |
| author_sort | Arumäe Tauri |
| collection | DOAJ |
| description | Airborne laser scanning (ALS) based standing wood volume models were analysed in two contrasting test sites with different forest types in Estonia. In Aegviidu test site main tree species are Scots pine and Norway spruce and Laeva test site is mainly dominated by deciduous species. ALS data measurements were carried out for Aegviidu in 2008 and for Laeva in 2013. Approximately 450 sample plots were established additionally to the forest inventory dataset in both test sites. Exclusive to the sample plots, 46 stands were measured in 2012 in Aegviidu for stand level model. The sample plot-based model standard error in Aegviidu was Se = 59.8 m3/ha (22%) and in Laeva Se = 69.2 m3/ha (29%). The stand-level model based on 46 measured stands from Aegviidu had Se = 38.4 m3/ha. Based on the models a cross-validation between the two test sites was carried out and systematic differences between the two test sites were found. The reasons are related to differences in optical properties of trees, crown shapes, flight configuration and canopy cover even though the sample plot based models included ALS-based canopy cover variable. The ALS-based wood volume estimate was also compared to forest inventory (FI) data and systematically larger estimates compared to FI dataset in both test sites were found. This average systematic error increased substantially (by 100 m3/ha) for stands with volume over 250 m3/ha. It was also detected that a model developed on small point clouds drawn for sample plots may produce systematic errors when applied to stand-level point clouds. |
| first_indexed | 2024-12-18T02:48:12Z |
| format | Article |
| id | doaj.art-1964bc7073e34da69696ab9defcb411e |
| institution | Directory Open Access Journal |
| issn | 1736-8723 |
| language | English |
| last_indexed | 2024-12-18T02:48:12Z |
| publishDate | 2016-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Metsanduslikud Uurimused |
| spelling | doaj.art-1964bc7073e34da69696ab9defcb411e2022-12-21T21:23:31ZengSciendoMetsanduslikud Uurimused1736-87232016-06-0164151610.1515/fsmu-2016-0001ALS-based wood volume models of forest stands and comparison with forest inventory dataArumäe Tauri0Lang Mait1Institute of Forestry and Rural Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014 Tartu, EstoniaInstitute of Forestry and Rural Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014 Tartu, EstoniaAirborne laser scanning (ALS) based standing wood volume models were analysed in two contrasting test sites with different forest types in Estonia. In Aegviidu test site main tree species are Scots pine and Norway spruce and Laeva test site is mainly dominated by deciduous species. ALS data measurements were carried out for Aegviidu in 2008 and for Laeva in 2013. Approximately 450 sample plots were established additionally to the forest inventory dataset in both test sites. Exclusive to the sample plots, 46 stands were measured in 2012 in Aegviidu for stand level model. The sample plot-based model standard error in Aegviidu was Se = 59.8 m3/ha (22%) and in Laeva Se = 69.2 m3/ha (29%). The stand-level model based on 46 measured stands from Aegviidu had Se = 38.4 m3/ha. Based on the models a cross-validation between the two test sites was carried out and systematic differences between the two test sites were found. The reasons are related to differences in optical properties of trees, crown shapes, flight configuration and canopy cover even though the sample plot based models included ALS-based canopy cover variable. The ALS-based wood volume estimate was also compared to forest inventory (FI) data and systematically larger estimates compared to FI dataset in both test sites were found. This average systematic error increased substantially (by 100 m3/ha) for stands with volume over 250 m3/ha. It was also detected that a model developed on small point clouds drawn for sample plots may produce systematic errors when applied to stand-level point clouds.https://doi.org/10.1515/fsmu-2016-0001airborne lidar datastanding wood volumeforest inventory datapoint cloud size |
| spellingShingle | Arumäe Tauri Lang Mait ALS-based wood volume models of forest stands and comparison with forest inventory data Metsanduslikud Uurimused airborne lidar data standing wood volume forest inventory data point cloud size |
| title | ALS-based wood volume models of forest stands and comparison with forest inventory data |
| title_full | ALS-based wood volume models of forest stands and comparison with forest inventory data |
| title_fullStr | ALS-based wood volume models of forest stands and comparison with forest inventory data |
| title_full_unstemmed | ALS-based wood volume models of forest stands and comparison with forest inventory data |
| title_short | ALS-based wood volume models of forest stands and comparison with forest inventory data |
| title_sort | als based wood volume models of forest stands and comparison with forest inventory data |
| topic | airborne lidar data standing wood volume forest inventory data point cloud size |
| url | https://doi.org/10.1515/fsmu-2016-0001 |
| work_keys_str_mv | AT arumaetauri alsbasedwoodvolumemodelsofforeststandsandcomparisonwithforestinventorydata AT langmait alsbasedwoodvolumemodelsofforeststandsandcomparisonwithforestinventorydata |