Assessing the sensitivity of site index models developed using bi-temporal airborne laser scanning data to different top height estimates and grid cell sizes

Jarosław Socha , Paweł Hawryło , Krzysztof Stereńczak , Stanisław Miścicki , Luiza Tymińska-Czabańska , Wojciech Młocek , Piotr Gruba

Abstract

Site productivity and forest growth are critical inputs into projecting wood volume and biomass accumulation over time. Site productivity, which is determined most commonly using site index models is also the primary criterion to consider many forest management decisions. Most of the previous research utilizing the remote sensing data for assessment of site index with forest height are based on the existing site index models developed with traditional dendrometric methods. However, these traditional methods are both time-consuming and expensive. This study demonstrates how bi-temporal airborne laser scanning (ALS) data collected within the 8-year period can be used for the development of site index models for Scots pine. The accuracy of ALS-derived models was assessed by comparison to the reference site index model developed based on data from stem analysis of 174 felled Scots pine trees. We evaluated the effect of different height metrics and grid cell size on the trajectory of site index models developed from ALS-derived measurements. Four methods of estimating top height from ALS point clouds were evaluated: 95th, 99th and 100th percentiles of point clouds and an individual tree detection approach (ITD). The models were created for a range of grid cell sizes: 10 × 10 m, 30 × 30 m, and 50 × 50 m. The results indicate that bitemporal ALS data could substitute traditional methods that have been applied to date for stand growth modelling. It was found that top height increment can be estimated by using both ITD approach and the 100th percentile of point cloud giving an appropriate top height (TH) increment estimation. Observed growth curves of reference trees agreed best with the trajectories that were obtained based on TH calculated using ITD method (R2 = 0.892) and 100th percentile (R2 = 0.797). In case of TH obtained from 99th and 95th percentiles only weak correlation was found: R2 = 0.358 and R2 = 0.213, accordingly. The height growth models developed with 95th and 99th percentiles of point cloud were not compatible with the reference model. We also found that grid cell size did not affect the model height growth trajectories. Irrespective of the grid cell size, the obtained model trajectories for the given method of TH estimation are nearly identical for cells 10 × 10, 30 × 30 and 50 × 50 m.
Autor Jarosław Socha (L / Katedra Zarządzania Zasobami Leśnymi)
Jarosław Socha
- Katedra Zarządzania Zasobami Leśnymi
, Paweł Hawryło (L / Katedra Zarządzania Zasobami Leśnymi)
Paweł Hawryło
- Katedra Zarządzania Zasobami Leśnymi
, Krzysztof Stereńczak - Instytut Badawczy Leśnictwa (IBL)
Krzysztof Stereńczak
-
, Stanisław Miścicki - Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (SGGW)
Stanisław Miścicki
-
, Luiza Tymińska-Czabańska (WL / L-IZZL)
Luiza Tymińska-Czabańska
- Instytut Zarządzania Zasobami Leśnymi
, Wojciech Młocek (IŚiG / IŚiG-KZM)
Wojciech Młocek
- Katedra Zastosowań Matematyki
, Piotr Gruba (L / KEiHL)
Piotr Gruba
- KATEDRA EKOLOGII I HODOWLI LASU
Tytuł czasopisma/seriiInternational Journal of Applied Earth Observation and Geoinformation, ISSN 0303-2434, (N/A 140 pkt, Nieaktywne)
Rok wydania2020
Tom91
Paginacja1-11
Objętość publikacji w arkuszach wydawniczych0.5
Numer artykułu102129
Słowa kluczowe w języku angielskimALS metrics, LiDAR, Tree segmentation, Height growth model, Forest productivity
Klasyfikacja ASJC1903 Computers in Earth Sciences; 1904 Earth-Surface Processes; 2306 Global and Planetary Change; 2308 Management, Monitoring, Policy and Law
DOIDOI:10.1016/j.jag.2020.102129
URL https://www.sciencedirect.com/science/article/pii/S0303243420300532?via%3Dihub
Języken angielski
LicencjaCzasopismo (tylko dla artykułów); opublikowana ostateczna; Uznanie Autorstwa (CC-BY); po opublikowaniu
Plik
Assessing the sensitivity of site index models developed using bi-temporal airborne laser scanning data to different top height estimates and grid cell sizes z dnia 10-05-2020
11,04 MB
Punktacja (całkowita)140
Żródło punktacjijournalList
Wskaźniki publikacji Cytowania WoS = 0; Impact Factor WoS: 2018 = 4.846 (2) - 2018=5.194 (5)
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Pola dodatkowe
FinansowanieThis research was supported by projects REMBIOFOR and IMAESTRO. Project "REMBIOFOR" was financed by The National Centre for Research and Development in Poland under the programme BIOSTRATEG, agreement no. BIOSTRATEG1/267755/4/NCBR/2015. Project Innovative forest MAnagEment STrategies for a Resilient biOeconomy under climate change and disturbances (I-MAESTRO) is supported under the umbrella of ForestValue ERA-NET Cofund by the National Science Centre, Poland and French Ministry of Agriculture, Agrifood, and Forestry; French Ministry of Higher Education, Research and Innovation, German Federal Ministry of Food and Agriculture (BMEL) via Agency for Renewable Resources (FNR), Slovenian Ministry of Education, Science and Sport (MIZS). ForestValue has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N° 773324.
Wkład autorówJarosław Socha: Conceptualization, Methodology, Formal analysis, Investigation, Writing - original draft, Writing - review & editing, Project administration, Funding acquisition. Paweł Hawryło: Writing - original draft, Writing - review & editing, Visualization. Krzysztof Stereńczak: Resources, Project administration, Funding acquisition. Stanisław Miścicki: Investigation, Resources. Luiza TymińskaCzabańska: Visualization, Writing - review & editing. Wojciech Młocek: Validation, Formal analysis. Piotr Gruba: Writing - original draft.
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