The development of laser scanning technologies has gradually modified methods for forest mensuration and inventory. The main objective of this study is to assess the potential of integrating ALS and TLS data in a complex mixed Mediterranean forest for assessing a set of five single-tree attributes: tree position (TP), stem diameter at breast height (DBH), tree height (TH), crown base height (CBH) and crown projection area radii (CPAR). Four different point clouds were used: from ZEB1, a hand-held mobile laser scanner (HMLS), and from FARO® FOCUS 3D, a static terrestrial laser scanner (TLS), both alone or in combination with ALS. The precision of single-tree predictions, in terms of bias and root mean square error, was evaluated against data recorded manually in the field with traditional instruments. We found that: (i) TLS and HMLS have excellent comparable performances for the estimation of TP, DBH and CPAR; (ii) TH was correctly assessed by TLS, while the accuracy by HMLS was lower; (iii) CBH was the most difficult attribute to be reliably assessed and (iv) the integration with ALS increased the performance of the assessment of TH and CPAR with both HMLS and TLS.

Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands / Francesca Giannetti, Nicola Puletti, Valerio Quatrini, Davide Travaglini, Francesca Bottalico, Piermaria Corona, Gherardo Chirici. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - ELETTRONICO. - 51:(2018), pp. 795-807. [10.1080/22797254.2018.1482733]

Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands

Francesca Giannetti
;
Davide Travaglini;Francesca Bottalico;Gherardo Chirici
2018

Abstract

The development of laser scanning technologies has gradually modified methods for forest mensuration and inventory. The main objective of this study is to assess the potential of integrating ALS and TLS data in a complex mixed Mediterranean forest for assessing a set of five single-tree attributes: tree position (TP), stem diameter at breast height (DBH), tree height (TH), crown base height (CBH) and crown projection area radii (CPAR). Four different point clouds were used: from ZEB1, a hand-held mobile laser scanner (HMLS), and from FARO® FOCUS 3D, a static terrestrial laser scanner (TLS), both alone or in combination with ALS. The precision of single-tree predictions, in terms of bias and root mean square error, was evaluated against data recorded manually in the field with traditional instruments. We found that: (i) TLS and HMLS have excellent comparable performances for the estimation of TP, DBH and CPAR; (ii) TH was correctly assessed by TLS, while the accuracy by HMLS was lower; (iii) CBH was the most difficult attribute to be reliably assessed and (iv) the integration with ALS increased the performance of the assessment of TH and CPAR with both HMLS and TLS.
2018
51
795
807
Francesca Giannetti, Nicola Puletti, Valerio Quatrini, Davide Travaglini, Francesca Bottalico, Piermaria Corona, Gherardo Chirici
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1131943
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