Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)

The need to rely on accurate information about the wood biomass available in riparian zones under management, inspired the land reclamation authority of southern Tuscany to develop a research based on the new remote sensing technologies. With this aim, a series of unmanned aerial vehicle (UAV) fligh...

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Autores principales:	Alessandro Matese, Andrea Berton, Valentina Chiarello, Riccardo Dainelli, Carla Nati, Laura Pastonchi, Piero Toscano, Salvatore Filippo Di Gennaro
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	precision forestry unmanned aerial vehicle image analysis crown detection biomass river analysis Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/2a100df494624faeb6db6279462d3587
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spelling	oai:doaj.org-article:2a100df494624faeb6db6279462d35872021-11-25T17:38:51ZDetermination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)10.3390/f121115661999-4907https://doaj.org/article/2a100df494624faeb6db6279462d35872021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1566https://doaj.org/toc/1999-4907The need to rely on accurate information about the wood biomass available in riparian zones under management, inspired the land reclamation authority of southern Tuscany to develop a research based on the new remote sensing technologies. With this aim, a series of unmanned aerial vehicle (UAV) flight campaigns flanked by ground-data collection were carried out on 5 zones and 15 stream reaches belonging to 3 rivers and 7 creeks, being representative of the whole area under treatment, characterized by a heterogeneous spatial distribution of trees and shrubs of different sizes and ages, whose species’ mix is typical of this climatic belt. A careful preliminary analysis of the zones under investigation, based on the available local orthophotos, followed by a quick pilot inspection of the riverbank segments selected for trials, was crucial for choosing the test sites. The analysis of a dataset composed of both measured and remotely sensed acquired parameters allowed a system of four allometric models to be built for estimating the trees’ biomass. All four developed models showed good results, with the highest correlation found in the fourth model (Model 4, R<sup>2</sup> = 0.63), which also presented the lowest RMSE (0.09 Mg). The biomass values calculated with Model 4 were in line with those provided by the land reclamation authority for selective thinning, ranging from 38.9 to 70.9 Mg ha<sup>−1</sup>. Conversely, Model 2 widely overestimated the actual data, while Model 1 and Model 3 offered intermediate results. The proposed methodology based on these new technologies enabled an accurate estimation of the wood biomass in a riverbank environment, overcoming the limits of a traditional ground monitoring and improving management strategies to benefit the river system and its ecosystems.Alessandro MateseAndrea BertonValentina ChiarelloRiccardo DainelliCarla NatiLaura PastonchiPiero ToscanoSalvatore Filippo Di GennaroMDPI AGarticleprecision forestryunmanned aerial vehicleimage analysiscrown detectionbiomassriver analysisPlant ecologyQK900-989ENForests, Vol 12, Iss 1566, p 1566 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	precision forestry unmanned aerial vehicle image analysis crown detection biomass river analysis Plant ecology QK900-989
spellingShingle	precision forestry unmanned aerial vehicle image analysis crown detection biomass river analysis Plant ecology QK900-989 Alessandro Matese Andrea Berton Valentina Chiarello Riccardo Dainelli Carla Nati Laura Pastonchi Piero Toscano Salvatore Filippo Di Gennaro Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
description	The need to rely on accurate information about the wood biomass available in riparian zones under management, inspired the land reclamation authority of southern Tuscany to develop a research based on the new remote sensing technologies. With this aim, a series of unmanned aerial vehicle (UAV) flight campaigns flanked by ground-data collection were carried out on 5 zones and 15 stream reaches belonging to 3 rivers and 7 creeks, being representative of the whole area under treatment, characterized by a heterogeneous spatial distribution of trees and shrubs of different sizes and ages, whose species’ mix is typical of this climatic belt. A careful preliminary analysis of the zones under investigation, based on the available local orthophotos, followed by a quick pilot inspection of the riverbank segments selected for trials, was crucial for choosing the test sites. The analysis of a dataset composed of both measured and remotely sensed acquired parameters allowed a system of four allometric models to be built for estimating the trees’ biomass. All four developed models showed good results, with the highest correlation found in the fourth model (Model 4, R<sup>2</sup> = 0.63), which also presented the lowest RMSE (0.09 Mg). The biomass values calculated with Model 4 were in line with those provided by the land reclamation authority for selective thinning, ranging from 38.9 to 70.9 Mg ha<sup>−1</sup>. Conversely, Model 2 widely overestimated the actual data, while Model 1 and Model 3 offered intermediate results. The proposed methodology based on these new technologies enabled an accurate estimation of the wood biomass in a riverbank environment, overcoming the limits of a traditional ground monitoring and improving management strategies to benefit the river system and its ecosystems.
format	article
author	Alessandro Matese Andrea Berton Valentina Chiarello Riccardo Dainelli Carla Nati Laura Pastonchi Piero Toscano Salvatore Filippo Di Gennaro
author_facet	Alessandro Matese Andrea Berton Valentina Chiarello Riccardo Dainelli Carla Nati Laura Pastonchi Piero Toscano Salvatore Filippo Di Gennaro
author_sort	Alessandro Matese
title	Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
title_short	Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
title_full	Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
title_fullStr	Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
title_full_unstemmed	Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
title_sort	determination of riparian vegetation biomass from an unmanned aerial vehicle (uav)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2a100df494624faeb6db6279462d3587
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Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)

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