Updated landscape map of the Pinega State Reserve

The article discusses the cycle of updating the landscape map of the Pinega State Reserve. This reserve is located in the Arkhangelsk District, in the northern taiga subzone (64˚35N, 42˚58E) in Russia. A landscape map of the reserve made in 1999 was established on the basis of only the topographical...

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Main Author: Popov Sergey Yu.
Format: Article
Language:English
Published: Fund for Support and Development of Protected Areas 2016-05-01
Series:Nature Conservation Research: Zapovednaâ Nauka
Subjects:
SDA
Online Access:http://ncr-journal.bear-land.org/article/3
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spelling doaj-8e82e2ca231f4ec2a79d2f070944480c2020-11-24T22:40:35ZengFund for Support and Development of Protected AreasNature Conservation Research: Zapovednaâ Nauka2500-008X2500-008X2016-05-01111122Updated landscape map of the Pinega State ReservePopov Sergey Yu. 0Lomonosov Moscow State University, Biological FacultyThe article discusses the cycle of updating the landscape map of the Pinega State Reserve. This reserve is located in the Arkhangelsk District, in the northern taiga subzone (64˚35N, 42˚58E) in Russia. A landscape map of the reserve made in 1999 was established on the basis of only the topographical maps and is very schematic. The modern technique of the combined spatial data stepwise discriminant analysis (SDA) of Landsat and DEM data was used aiming to update the map of landscapes of the Pinega State Reserve. The stepwise criterion of lambda values have shown a high level of SDA reliability (the quality of classification is 90.2%). The independent variables for PDA were the brightness characteristics of Landsat channels, the spectral indices and the characteristics of the terrain. A numbers of 73 independent variables have been used in the analysis. Areas of the old landscape map were used as a predictor. All operations with spatial and statistical data are made in the geo-information packages ArcGIS, ERDAS IMAGINE, IBM SPSS, ENVI, Statictica. A detailed analysis of the quality of SDA is provided. Two new landscape types have been revealed as a result of using SDA; moreover, the updated map of landscapes of the Pinega State Reserve has more accurate boundaries now. Obtained on the basis of multivariate analysis the landscape map of the Pinega State Reserve is statistically significant. Landscape squares are calculated.http://ncr-journal.bear-land.org/article/3digital elevation modeldiscriminant analysisGIS technologyLandsatLandscape mapSDA
collection DOAJ
language English
format Article
sources DOAJ
author Popov Sergey Yu.
spellingShingle Popov Sergey Yu.
Updated landscape map of the Pinega State Reserve
Nature Conservation Research: Zapovednaâ Nauka
digital elevation model
discriminant analysis
GIS technology
Landsat
Landscape map
SDA
author_facet Popov Sergey Yu.
author_sort Popov Sergey Yu.
title Updated landscape map of the Pinega State Reserve
title_short Updated landscape map of the Pinega State Reserve
title_full Updated landscape map of the Pinega State Reserve
title_fullStr Updated landscape map of the Pinega State Reserve
title_full_unstemmed Updated landscape map of the Pinega State Reserve
title_sort updated landscape map of the pinega state reserve
publisher Fund for Support and Development of Protected Areas
series Nature Conservation Research: Zapovednaâ Nauka
issn 2500-008X
2500-008X
publishDate 2016-05-01
description The article discusses the cycle of updating the landscape map of the Pinega State Reserve. This reserve is located in the Arkhangelsk District, in the northern taiga subzone (64˚35N, 42˚58E) in Russia. A landscape map of the reserve made in 1999 was established on the basis of only the topographical maps and is very schematic. The modern technique of the combined spatial data stepwise discriminant analysis (SDA) of Landsat and DEM data was used aiming to update the map of landscapes of the Pinega State Reserve. The stepwise criterion of lambda values have shown a high level of SDA reliability (the quality of classification is 90.2%). The independent variables for PDA were the brightness characteristics of Landsat channels, the spectral indices and the characteristics of the terrain. A numbers of 73 independent variables have been used in the analysis. Areas of the old landscape map were used as a predictor. All operations with spatial and statistical data are made in the geo-information packages ArcGIS, ERDAS IMAGINE, IBM SPSS, ENVI, Statictica. A detailed analysis of the quality of SDA is provided. Two new landscape types have been revealed as a result of using SDA; moreover, the updated map of landscapes of the Pinega State Reserve has more accurate boundaries now. Obtained on the basis of multivariate analysis the landscape map of the Pinega State Reserve is statistically significant. Landscape squares are calculated.
topic digital elevation model
discriminant analysis
GIS technology
Landsat
Landscape map
SDA
url http://ncr-journal.bear-land.org/article/3
work_keys_str_mv AT popovsergeyyu updatedlandscapemapofthepinegastatereserve
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