scholarly journals Enhancing Forest Growth and Yield Predictions with Airborne Laser Scanning Data: Increasing Spatial Detail and Optimizing Yield Curve Selection through Template Matching

Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 255 ◽  
Author(s):  
Piotr Tompalski ◽  
Nicholas Coops ◽  
Joanne White ◽  
Michael Wulder
Keyword(s):  
Template Matching ◽  
Laser Scanning ◽  
Yield Curve ◽  
Forest Growth ◽  
Airborne Laser Scanning ◽  
Growth And Yield ◽  
Airborne Laser ◽  
Curve Selection ◽  
Forest Growth And Yield

scholarly journals Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling

2018 ◽  
Vol 10 (3) ◽  
pp. 347 ◽  
Author(s):  
Piotr Tompalski ◽  
Nicholas Coops ◽  
Peter Marshall ◽  
Joanne White ◽  
Michael Wulder ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Forest Growth ◽  
Airborne Laser Scanning ◽  
Growth And Yield ◽  
Airborne Laser ◽  
Forest Growth And Yield

scholarly journals Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species: a showcase in Spain

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Juan Guerra-Hernández ◽  
Adrián Pascual
Keyword(s):  
Pinus Radiata ◽  
Pinus Pinaster ◽  
Laser Scanning ◽  
Forest Ecosystems ◽  
Height Growth ◽  
Growth Patterns ◽  
Forest Growth ◽  
Airborne Laser Scanning ◽  
Fast Growing ◽  
Airborne Laser

Abstract Background The NASA’s Global Ecosystem Dynamics Investigation (GEDI) satellite mission aims at scanning forest ecosystems on a multi-temporal short-rotation basis. The GEDI data can validate and update statistics from nationwide airborne laser scanning (ALS). We present a case in the Northwest of Spain using GEDI statistics and nationwide ALS surveys to estimate forest dynamics in three fast-growing forest ecosystems comprising 211,346 ha. The objectives were: i) to analyze the potential of GEDI to detect disturbances, ii) to investigate uncertainty source regarding non-positive height increments from the 2015–2017 ALS data to the 2019 GEDI laser shots and iii) to estimate height growth using polygons from the Forest Map of Spain (FMS). A set of 258 National Forest Inventory plots were used to validate the observed height dynamics. Results The spatio-temporal assessment from ALS surveying to GEDI scanning allowed the large-scale detection of harvests. The mean annual height growths were 0.79 (SD = 0.63), 0.60 (SD = 0.42) and 0.94 (SD = 0.75) m for Pinus pinaster, Pinus radiata and Eucalyptus spp., respectively. The median annual values from the ALS-GEDI positive increments were close to NFI-based growth values computed for Pinus pinaster and Pinus radiata, respectively. The effect of edge border, spatial co-registration of GEDI shots and the influence of forest cover in the observed dynamics were important factors to considering when processing ALS data and GEDI shots. Discussion The use of GEDI laser data provides valuable insights for forest industry operations especially when accounting for fast changes. However, errors derived from positioning, ground finder and canopy structure can introduce uncertainty to understand the detected growth patterns as documented in this study. The analysis of forest growth using ALS and GEDI would benefit from the generalization of common rules and data processing schemes as the GEDI mission is increasingly being utilized in the forest remote sensing community.

scholarly journals Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347

2018 ◽  
Vol 10 (9) ◽  
pp. 1411
Author(s):  
Jari Vauhkonen
Keyword(s):  
Template Matching ◽  
Laser Scanning ◽  
Semantic Analysis ◽  
Synthetic Data ◽  
Forest Growth ◽  
Growth And Yield ◽  
Intermediate Step ◽  
Projection System ◽  
Experimental Implementation ◽  
Forest Attributes

Tompalski et al. (2018) propose “template matching” as a (required) intermediate step to use remote sensing-based predictions of forest attributes as inputs of the Growth and Yield Projection System (GYPSY) for the simulations of forest stand dynamics in Alberta, Canada. Yet, the feasibility of the approach can be criticized for many points that call for experimental verification. The approach cannot be fully replicated based on the description of the paper. Nevertheless, an experimental implementation with synthetic data indicates that the quality of the projections may vary considerably depending on parameter assumptions for the templates, and the projections may include discontinuities between the observed and projected forest attributes. The approach is poorly motivated given that the effects described above are largely avoidable, if the underlying GYPSY models are run without the template matching step. The R-codes used for the analyses are provided as supplementary data for an interested reader wishing to evaluate the conclusions made above. A semantic analysis indicates further problems with multi-date data on a wall-to-wall grid. The projections obtained by template matching should be exposed to criticism for their realism and benchmarked against other approaches prior to using template matching as proposed by Tompalski et al.

scholarly journals New Advances in Automated Urban Modelling from Airborne Laser Scanning Data

2011 ◽  
Vol 5 (3) ◽  
pp. 196-208 ◽  
Author(s):  
D. F. Laefer ◽  
T. Hinks ◽  
H. Carr ◽  
L. Truong-Hong
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Urban Modelling
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