The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions

(1) Background: Like many other countries, Poland is obliged to report forest area to the Climate Convention (UNFCCC Kyoto Protocol) and the Food and Agriculture Organization of the United Nations (FAO/UN). Differences between national and international forest definitions lead to differences between...

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Autores principales:	Tomasz Hycza, Agnieszka Kamińska, Krzysztof Stereńczak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	lidar forest vegetation remote sensing forest definition reporting Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/1c08eca8451f4d43af2ea348ff3c106c
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spelling	oai:doaj.org-article:1c08eca8451f4d43af2ea348ff3c106c2021-11-25T17:37:51ZThe Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions10.3390/f121114891999-4907https://doaj.org/article/1c08eca8451f4d43af2ea348ff3c106c2021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1489https://doaj.org/toc/1999-4907(1) Background: Like many other countries, Poland is obliged to report forest area to the Climate Convention (UNFCCC Kyoto Protocol) and the Food and Agriculture Organization of the United Nations (FAO/UN). Differences between national and international forest definitions lead to differences between actual and reported forest area. Remote sensing is a useful tool for estimating forest area for reporting purposes. One of the most important parts of the estimation is the choice of a basal area to calculate the percentage of vegetation cover. (2) Methods: Height, crown projection area, and minimum complex area were used to classify the area with forest vegetation. Percentage canopy cover was determined using three different methods based on segmentation polygons, triangular grid and canopy height model pixels. The accuracy of the above methods was verified by manual vectorization performed on a selected set of test plots in the Milicz study area according to the international definitions. The differences were examined using three statistical metrics. (3) Conclusions: This paper compares for the first time methods for determining the area for which canopy cover is calculated (using data from (ALS) and discusses the differences between them in the context of accuracy (the correspondence between the results and the reference data) and the complexity of the process (time and effort required to perform the analysis). This is important in the context of reporting, estimating carbon stocks and biodiversity to mitigate the effects of climate change. Method 2 proved to be the most accurate method, Method 1 was found to be the worst option. Accuracy was better in the case of the Kyoto Protocol definition.Tomasz HyczaAgnieszka KamińskaKrzysztof StereńczakMDPI AGarticlelidarforest vegetationremote sensingforest definitionreportingPlant ecologyQK900-989ENForests, Vol 12, Iss 1489, p 1489 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lidar forest vegetation remote sensing forest definition reporting Plant ecology QK900-989
spellingShingle	lidar forest vegetation remote sensing forest definition reporting Plant ecology QK900-989 Tomasz Hycza Agnieszka Kamińska Krzysztof Stereńczak The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
description	(1) Background: Like many other countries, Poland is obliged to report forest area to the Climate Convention (UNFCCC Kyoto Protocol) and the Food and Agriculture Organization of the United Nations (FAO/UN). Differences between national and international forest definitions lead to differences between actual and reported forest area. Remote sensing is a useful tool for estimating forest area for reporting purposes. One of the most important parts of the estimation is the choice of a basal area to calculate the percentage of vegetation cover. (2) Methods: Height, crown projection area, and minimum complex area were used to classify the area with forest vegetation. Percentage canopy cover was determined using three different methods based on segmentation polygons, triangular grid and canopy height model pixels. The accuracy of the above methods was verified by manual vectorization performed on a selected set of test plots in the Milicz study area according to the international definitions. The differences were examined using three statistical metrics. (3) Conclusions: This paper compares for the first time methods for determining the area for which canopy cover is calculated (using data from (ALS) and discusses the differences between them in the context of accuracy (the correspondence between the results and the reference data) and the complexity of the process (time and effort required to perform the analysis). This is important in the context of reporting, estimating carbon stocks and biodiversity to mitigate the effects of climate change. Method 2 proved to be the most accurate method, Method 1 was found to be the worst option. Accuracy was better in the case of the Kyoto Protocol definition.
format	article
author	Tomasz Hycza Agnieszka Kamińska Krzysztof Stereńczak
author_facet	Tomasz Hycza Agnieszka Kamińska Krzysztof Stereńczak
author_sort	Tomasz Hycza
title	The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
title_short	The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
title_full	The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
title_fullStr	The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
title_full_unstemmed	The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions
title_sort	use of remote sensing data to estimate land area with forest vegetation cover in the context of selected forest definitions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1c08eca8451f4d43af2ea348ff3c106c
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The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions

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