Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
The study analysed 2019–2022 summertime canopy height predictions (HICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homog...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-12-01
|
| Series: | Metsanduslikud Uurimused |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/fsmu-2024-0001 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832570285899907072 |
|---|---|
| author | Lang Mait Tampuu Tauri Trofimov Heido |
| author_facet | Lang Mait Tampuu Tauri Trofimov Heido |
| author_sort | Lang Mait |
| collection | DOAJ |
| description | The study analysed 2019–2022 summertime canopy height predictions (HICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homogenous canopy structure. Regression modelling was used to explain variability in ground surface elevation estimates, and relationships of HICESat to basal area weighted mean tree height given in the forest inventory database (HFI) and to the 95th percentile of the vertical distribution of airborne laser scanning pulse return (HALS). The other explanatory variables were the ICESat-2 ATLAS observation geographic location, ICESat-2 ATLAS track and beam energy indicators, forest canopy cover, evergreen coniferous tree dominance indicator, and deep peat soil indicator. The linear model between the Estonian digital terrain model elevation and ATL08 ground elevation had a determination coefficient of R2=99.97% and residual standard error of δ=0.51 m when a geographic location was included. The HFI can be predicted from HICESat with R2=85% and δ=2.7 m. A comparison of means indicated that, on average, HICESat was about 0.3 m greater than HFI. All the predictive variables (except the geographic location) were significant in canopy height models, and the best models fitted HICESat with R2=95% and δ=1.6 m, however, there was no notable increase in R2 if more predictors than HALS were added in the models. In practical applications using ATL08 data for forest inventories, the inclusion of weak energy beam observations increases the number of observations, but the beam energy indicator has to be included in the models. |
| format | Article |
| id | doaj-art-13955d11b20a4c04a89bca9fba1631cf |
| institution | Kabale University |
| issn | 1736-8723 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Metsanduslikud Uurimused |
| spelling | doaj-art-13955d11b20a4c04a89bca9fba1631cf2025-02-02T15:48:10ZengSciendoMetsanduslikud Uurimused1736-87232024-12-0180111910.2478/fsmu-2024-0001Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metricsLang Mait0Tampuu Tauri1Trofimov Heido2Tartu Observatory, University of Tartu, 61602Tõravere, EstoniaKappazeta Ltd, Kastani 42, 50410Tartu, EstoniaKappazeta Ltd, Kastani 42, 50410Tartu, EstoniaThe study analysed 2019–2022 summertime canopy height predictions (HICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homogenous canopy structure. Regression modelling was used to explain variability in ground surface elevation estimates, and relationships of HICESat to basal area weighted mean tree height given in the forest inventory database (HFI) and to the 95th percentile of the vertical distribution of airborne laser scanning pulse return (HALS). The other explanatory variables were the ICESat-2 ATLAS observation geographic location, ICESat-2 ATLAS track and beam energy indicators, forest canopy cover, evergreen coniferous tree dominance indicator, and deep peat soil indicator. The linear model between the Estonian digital terrain model elevation and ATL08 ground elevation had a determination coefficient of R2=99.97% and residual standard error of δ=0.51 m when a geographic location was included. The HFI can be predicted from HICESat with R2=85% and δ=2.7 m. A comparison of means indicated that, on average, HICESat was about 0.3 m greater than HFI. All the predictive variables (except the geographic location) were significant in canopy height models, and the best models fitted HICESat with R2=95% and δ=1.6 m, however, there was no notable increase in R2 if more predictors than HALS were added in the models. In practical applications using ATL08 data for forest inventories, the inclusion of weak energy beam observations increases the number of observations, but the beam energy indicator has to be included in the models.https://doi.org/10.2478/fsmu-2024-0001hemiboreal foreststand heightsatellite laserairborne lasermetricsforest inventory |
| spellingShingle | Lang Mait Tampuu Tauri Trofimov Heido Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics Metsanduslikud Uurimused hemiboreal forest stand height satellite laser airborne laser metrics forest inventory |
| title | Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics |
| title_full | Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics |
| title_fullStr | Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics |
| title_full_unstemmed | Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics |
| title_short | Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics |
| title_sort | forest stand height predicted from icesat 2 atlas data for forest inventory and comparison to airborne laser scanning metrics |
| topic | hemiboreal forest stand height satellite laser airborne laser metrics forest inventory |
| url | https://doi.org/10.2478/fsmu-2024-0001 |
| work_keys_str_mv | AT langmait foreststandheightpredictedfromicesat2atlasdataforforestinventoryandcomparisontoairbornelaserscanningmetrics AT tampuutauri foreststandheightpredictedfromicesat2atlasdataforforestinventoryandcomparisontoairbornelaserscanningmetrics AT trofimovheido foreststandheightpredictedfromicesat2atlasdataforforestinventoryandcomparisontoairbornelaserscanningmetrics |