A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions

Semi-arid tree covers, in both high and coppice growth forms, play an essential role in protecting water and soil resources and provides multiple ecosystem services across fragile ecosystems. Thus, they require continuous inventories. Quantification of forest structure in these tree covers provides...

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Autores principales:	Seyed Arvin Fakhri, Hooman Latifi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tree structure biomass DBH <i>Q. brantii</i> Zagros Forests Science Q
Acceso en línea:	https://doaj.org/article/304d755fe1e941e3b133db28eee925cf
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spelling	oai:doaj.org-article:304d755fe1e941e3b133db28eee925cf2021-11-11T18:54:45ZA Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions10.3390/rs132143672072-4292https://doaj.org/article/304d755fe1e941e3b133db28eee925cf2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4367https://doaj.org/toc/2072-4292Semi-arid tree covers, in both high and coppice growth forms, play an essential role in protecting water and soil resources and provides multiple ecosystem services across fragile ecosystems. Thus, they require continuous inventories. Quantification of forest structure in these tree covers provides important measures for their management and biodiversity conservation. We present a framework, based on consumer-grade UAV photogrammetry, to separately estimate primary variables of tree height (H) and crown area (A) across diverse coppice and high stands dominated by <i>Quercus brantii</i> Lindl. along the latitudinal gradient of Zagros mountains of western Iran. Then, multivariate linear regressions were parametrized with H and A to estimate the diameter at breast height (DBH) of high trees because of its importance to accelerate the existing practical DBH inventories across Zagros Forests. The estimated variables were finally applied to a model tree aboveground biomass (AGB) for both vegetative growth forms by local allometric equations and Random Forest models. In each step, the estimated variables were evaluated against the field reference values, indicating practically high accuracies reaching root mean square error (RMSE) of 0.68 m and 4.74 cm for H and DBH, as well as relative RMSE < 10% for AGB estimates. The results generally suggest an effective framework for single tree-based attribute estimation over mountainous, semi-arid coppice, and high stands.Seyed Arvin FakhriHooman LatifiMDPI AGarticletree structurebiomassDBH<i>Q. brantii</i>Zagros ForestsScienceQENRemote Sensing, Vol 13, Iss 4367, p 4367 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tree structure biomass DBH <i>Q. brantii</i> Zagros Forests Science Q
spellingShingle	tree structure biomass DBH <i>Q. brantii</i> Zagros Forests Science Q Seyed Arvin Fakhri Hooman Latifi A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
description	Semi-arid tree covers, in both high and coppice growth forms, play an essential role in protecting water and soil resources and provides multiple ecosystem services across fragile ecosystems. Thus, they require continuous inventories. Quantification of forest structure in these tree covers provides important measures for their management and biodiversity conservation. We present a framework, based on consumer-grade UAV photogrammetry, to separately estimate primary variables of tree height (H) and crown area (A) across diverse coppice and high stands dominated by <i>Quercus brantii</i> Lindl. along the latitudinal gradient of Zagros mountains of western Iran. Then, multivariate linear regressions were parametrized with H and A to estimate the diameter at breast height (DBH) of high trees because of its importance to accelerate the existing practical DBH inventories across Zagros Forests. The estimated variables were finally applied to a model tree aboveground biomass (AGB) for both vegetative growth forms by local allometric equations and Random Forest models. In each step, the estimated variables were evaluated against the field reference values, indicating practically high accuracies reaching root mean square error (RMSE) of 0.68 m and 4.74 cm for H and DBH, as well as relative RMSE < 10% for AGB estimates. The results generally suggest an effective framework for single tree-based attribute estimation over mountainous, semi-arid coppice, and high stands.
format	article
author	Seyed Arvin Fakhri Hooman Latifi
author_facet	Seyed Arvin Fakhri Hooman Latifi
author_sort	Seyed Arvin Fakhri
title	A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
title_short	A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
title_full	A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
title_fullStr	A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
title_full_unstemmed	A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions
title_sort	consumer grade uav-based framework to estimate structural attributes of coppice and high oak forest stands in semi-arid regions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/304d755fe1e941e3b133db28eee925cf
work_keys_str_mv	AT seyedarvinfakhri aconsumergradeuavbasedframeworktoestimatestructuralattributesofcoppiceandhighoakforeststandsinsemiaridregions AT hoomanlatifi aconsumergradeuavbasedframeworktoestimatestructuralattributesofcoppiceandhighoakforeststandsinsemiaridregions AT seyedarvinfakhri consumergradeuavbasedframeworktoestimatestructuralattributesofcoppiceandhighoakforeststandsinsemiaridregions AT hoomanlatifi consumergradeuavbasedframeworktoestimatestructuralattributesofcoppiceandhighoakforeststandsinsemiaridregions
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A Consumer Grade UAV-Based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions

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