Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements
Thinning cuttings create moderate disturbances in forest stands. Thinning intensity indicates the amount of felled wood relative to the initial standing volume. We used sparse point clouds from airborne lidar measurements carried out in 2008 and 2012 at Aegviidu test site, Estonia, to study stand le...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2018-06-01
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| Series: | Metsanduslikud Uurimused |
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| Online Access: | https://doi.org/10.2478/fsmu-2018-0004 |
| _version_ | 1818307598831583232 |
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| author | Lang Mait Arumäe Tauri |
| author_facet | Lang Mait Arumäe Tauri |
| author_sort | Lang Mait |
| collection | DOAJ |
| description | Thinning cuttings create moderate disturbances in forest stands. Thinning intensity indicates the amount of felled wood relative to the initial standing volume. We used sparse point clouds from airborne lidar measurements carried out in 2008 and 2012 at Aegviidu test site, Estonia, to study stand level relationships of thinning intensity to the changes in canopy cover and ALS-based wood volume estimates. Thinning intensity (Kr, HRV) was estimated from forest inventory data and harvester measurements of removed wood volume. The thinning intensity ranged from 17% to 56%. By raising threshold from 1.3 m to 8.0 m over ground surface we observed less canopy cover change, but stronger correlation with thinning intensity. Correlation between ALS-based and harvester-based thinning intensity was moderate. The ALS-based thinning intensity estimate was systematically smaller than Kr, HRV. Forest height growth compensates for a small decrease in canopy cover and intensity estimates for weak thinnings are not reliable using sparse point clouds and a four-year measurement interval. |
| first_indexed | 2024-12-13T07:00:56Z |
| format | Article |
| id | doaj.art-d6c048d64dec4d0d9438ffe7b8c41052 |
| institution | Directory Open Access Journal |
| issn | 1736-8723 |
| language | English |
| last_indexed | 2024-12-13T07:00:56Z |
| publishDate | 2018-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Metsanduslikud Uurimused |
| spelling | doaj.art-d6c048d64dec4d0d9438ffe7b8c410522022-12-21T23:55:57ZengSciendoMetsanduslikud Uurimused1736-87232018-06-01681405010.2478/fsmu-2018-0004Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurementsLang Mait0Arumäe Tauri1Tartu Observatory, University of Tartu, 61602, Tõravere, Tartumaa, EstoniaInstitute of Forestry and Rural Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, Tartu51006, EstoniaThinning cuttings create moderate disturbances in forest stands. Thinning intensity indicates the amount of felled wood relative to the initial standing volume. We used sparse point clouds from airborne lidar measurements carried out in 2008 and 2012 at Aegviidu test site, Estonia, to study stand level relationships of thinning intensity to the changes in canopy cover and ALS-based wood volume estimates. Thinning intensity (Kr, HRV) was estimated from forest inventory data and harvester measurements of removed wood volume. The thinning intensity ranged from 17% to 56%. By raising threshold from 1.3 m to 8.0 m over ground surface we observed less canopy cover change, but stronger correlation with thinning intensity. Correlation between ALS-based and harvester-based thinning intensity was moderate. The ALS-based thinning intensity estimate was systematically smaller than Kr, HRV. Forest height growth compensates for a small decrease in canopy cover and intensity estimates for weak thinnings are not reliable using sparse point clouds and a four-year measurement interval.https://doi.org/10.2478/fsmu-2018-0004forest managementcanopy cover changemultitemporal laser scanning |
| spellingShingle | Lang Mait Arumäe Tauri Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements Metsanduslikud Uurimused forest management canopy cover change multitemporal laser scanning |
| title | Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| title_full | Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| title_fullStr | Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| title_full_unstemmed | Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| title_short | Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| title_sort | assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements |
| topic | forest management canopy cover change multitemporal laser scanning |
| url | https://doi.org/10.2478/fsmu-2018-0004 |
| work_keys_str_mv | AT langmait assessmentofforestthinningintensityusingsparsepointcloudsfromrepeatedairbornelidarmeasurements AT arumaetauri assessmentofforestthinningintensityusingsparsepointcloudsfromrepeatedairbornelidarmeasurements |