Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data

Riparian vegetation delineation includes both the process of delineating the riparian zone and classifying vegetation within that zone. We developed a holistic framework to assess riparian vegetation delineation that includes evaluating channel boundary delineation accuracy using a combination of pi...

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Autores principales:	Ge Pu, Lindi J. Quackenbush, Stephen V. Stehman
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	river management river channel delineation vegetation classification map accuracy assessment Science Q
Acceso en línea:	https://doaj.org/article/ef05d8d95c064c57b3ebdbf5b6df0e3d
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spelling	oai:doaj.org-article:ef05d8d95c064c57b3ebdbf5b6df0e3d2021-11-25T18:55:05ZIdentifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data10.3390/rs132246452072-4292https://doaj.org/article/ef05d8d95c064c57b3ebdbf5b6df0e3d2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4645https://doaj.org/toc/2072-4292Riparian vegetation delineation includes both the process of delineating the riparian zone and classifying vegetation within that zone. We developed a holistic framework to assess riparian vegetation delineation that includes evaluating channel boundary delineation accuracy using a combination of pixel- and object-based metrics. We also identified how stream order, riparian zone width, riparian land use, and image shadow influenced the accuracy of delineation and classification. We tested the framework by evaluating vegetation vs. non-vegetation riparian zone maps produced by applying random forest classification to aerial photographs with a 1 m pixel size. We assessed accuracy of the riparian vegetation classification and channel boundary delineation for two rivers in the northeastern United States. Overall accuracy for the channel boundary delineation was generally above 80% for both sites, while object-based accuracy revealed that 50% of delineated channel was less than 5 m away from the reference channel. Stream order affected channel boundary delineation accuracy while land use and image shadows influenced riparian vegetation classification accuracy; riparian zone width had little impact on observed accuracy. The holistic approach to quantification of accuracy that considers both channel boundary delineation and vegetation classification developed in this study provides an important tool to inform riparian management.Ge PuLindi J. QuackenbushStephen V. StehmanMDPI AGarticleriver managementriver channel delineationvegetation classificationmap accuracy assessmentScienceQENRemote Sensing, Vol 13, Iss 4645, p 4645 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	river management river channel delineation vegetation classification map accuracy assessment Science Q
spellingShingle	river management river channel delineation vegetation classification map accuracy assessment Science Q Ge Pu Lindi J. Quackenbush Stephen V. Stehman Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
description	Riparian vegetation delineation includes both the process of delineating the riparian zone and classifying vegetation within that zone. We developed a holistic framework to assess riparian vegetation delineation that includes evaluating channel boundary delineation accuracy using a combination of pixel- and object-based metrics. We also identified how stream order, riparian zone width, riparian land use, and image shadow influenced the accuracy of delineation and classification. We tested the framework by evaluating vegetation vs. non-vegetation riparian zone maps produced by applying random forest classification to aerial photographs with a 1 m pixel size. We assessed accuracy of the riparian vegetation classification and channel boundary delineation for two rivers in the northeastern United States. Overall accuracy for the channel boundary delineation was generally above 80% for both sites, while object-based accuracy revealed that 50% of delineated channel was less than 5 m away from the reference channel. Stream order affected channel boundary delineation accuracy while land use and image shadows influenced riparian vegetation classification accuracy; riparian zone width had little impact on observed accuracy. The holistic approach to quantification of accuracy that considers both channel boundary delineation and vegetation classification developed in this study provides an important tool to inform riparian management.
format	article
author	Ge Pu Lindi J. Quackenbush Stephen V. Stehman
author_facet	Ge Pu Lindi J. Quackenbush Stephen V. Stehman
author_sort	Ge Pu
title	Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
title_short	Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
title_full	Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
title_fullStr	Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
title_full_unstemmed	Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data
title_sort	identifying factors that influence accuracy of riparian vegetation classification and river channel delineation mapped using 1 m data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ef05d8d95c064c57b3ebdbf5b6df0e3d
work_keys_str_mv	AT gepu identifyingfactorsthatinfluenceaccuracyofriparianvegetationclassificationandriverchanneldelineationmappedusing1mdata AT lindijquackenbush identifyingfactorsthatinfluenceaccuracyofriparianvegetationclassificationandriverchanneldelineationmappedusing1mdata AT stephenvstehman identifyingfactorsthatinfluenceaccuracyofriparianvegetationclassificationandriverchanneldelineationmappedusing1mdata
_version_	1718410562339078144

Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data

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