{"title":"Zhodnotenie zdravotného stavu lesov v inundačnej oblasti Dunaja v úseku Dobrohošt – Sap z leteckých multispektrálnych snímok z roku 2011","authors":"Tomáš Bucha, Martin Slávik, N. Hatala, M. Bartko","doi":"10.2478/v10114-011-0021-z","DOIUrl":null,"url":null,"abstract":"Abstract The purpose of this paper is to evaluate the forest health condition in the area of Hydropower plant Gabčikovo using the digital multispectral aerial images from 2011 in the section Dobrohošt - Sap. We proposed a new innovative procedure of creating the forest mask in the image processing. It concerns a process of defining tree crowns, where we combined subject and raster oriented approach of the image classification. We evaluated forest health condition on a selected forest mask using the method of twophased sampling with regression. The indicators of health condition were tree defoliation and presence of heavily damaged trees and snags in the stands. Defoliation was used to compare the current forest health condition in the concerned area with the data from 2008. Presence of the snags as the result of severe damage is interpreted in terms of stand types related to site conditions. Field survey proved presence of invasive and non-native tree species and plants. Based on the result, we have formulated recommendations for further forest monitoring in the Danube River inundation","PeriodicalId":56352,"journal":{"name":"Forestry Journal","volume":"8 1","pages":"106 - 95"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forestry Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/v10114-011-0021-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract The purpose of this paper is to evaluate the forest health condition in the area of Hydropower plant Gabčikovo using the digital multispectral aerial images from 2011 in the section Dobrohošt - Sap. We proposed a new innovative procedure of creating the forest mask in the image processing. It concerns a process of defining tree crowns, where we combined subject and raster oriented approach of the image classification. We evaluated forest health condition on a selected forest mask using the method of twophased sampling with regression. The indicators of health condition were tree defoliation and presence of heavily damaged trees and snags in the stands. Defoliation was used to compare the current forest health condition in the concerned area with the data from 2008. Presence of the snags as the result of severe damage is interpreted in terms of stand types related to site conditions. Field survey proved presence of invasive and non-native tree species and plants. Based on the result, we have formulated recommendations for further forest monitoring in the Danube River inundation
期刊介绍:
Central European Forestry Journal (published as Lesnícky Èasopis - Forestry Journal until 2016) publishes novel science originating from research in forestry and related braches. Central European Forestry Journal is a professional peer-reviewed scientific journal published 4-time a year. The journal contains original papers and review papers of basic and applied research from all fields of forestry and related disciplines. The editorial office accepts the manuscripts within the focus of the journal exclusively in English language. The journal does not have article processing charges (APCs) nor article submission charges. Central European Forestry Journal, abbreviation: Cent. Eur. For. J., publishes original papers and review papers of basic and applied research from all fields of forestry and related scientific areas. The journal focuses on forestry issues relevant for Europe, primarily Central European regions. Original works and review papers can be submitted only in English language.