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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Bibliographic Details
Main Author: Popov Sergey Yu.
Format: Article in Journal/Newspaper
Language:English
Russian
Published: Fund for Support and Development of Protected Areas "Bear Land" 2016
Subjects:
SDA
G
Online Access:https://doaj.org/article/8e82e2ca231f4ec2a79d2f070944480c
id ftdoajarticles:oai:doaj.org/article:8e82e2ca231f4ec2a79d2f070944480c
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spelling ftdoajarticles:oai:doaj.org/article:8e82e2ca231f4ec2a79d2f070944480c 2023-05-15T15:23:57+02:00 Updated landscape map of the Pinega State Reserve Popov Sergey Yu. 2016-05-01T00:00:00Z https://doaj.org/article/8e82e2ca231f4ec2a79d2f070944480c EN RU eng rus Fund for Support and Development of Protected Areas "Bear Land" http://ncr-journal.bear-land.org/article/3 https://doaj.org/toc/2500-008X 2500-008X https://doaj.org/article/8e82e2ca231f4ec2a79d2f070944480c Nature Conservation Research: Заповедная наука, Vol 1, Iss 1, Pp 11-22 (2016) digital elevation model discriminant analysis GIS technology Landsat Landscape map SDA Geography. Anthropology. Recreation G article 2016 ftdoajarticles 2022-12-31T02:14:09Z 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. Article in Journal/Newspaper Arkhangelsk taiga Directory of Open Access Journals: DOAJ Articles Lambda ENVELOPE(-62.983,-62.983,-64.300,-64.300) Pinega ENVELOPE(41.909,41.909,64.134,64.134)
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Russian
topic digital elevation model
discriminant analysis
GIS technology
Landsat
Landscape map
SDA
Geography. Anthropology. Recreation
G
spellingShingle digital elevation model
discriminant analysis
GIS technology
Landsat
Landscape map
SDA
Geography. Anthropology. Recreation
G
Popov Sergey Yu.
Updated landscape map of the Pinega State Reserve
topic_facet digital elevation model
discriminant analysis
GIS technology
Landsat
Landscape map
SDA
Geography. Anthropology. Recreation
G
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.
format Article in Journal/Newspaper
author Popov Sergey Yu.
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 "Bear Land"
publishDate 2016
url https://doaj.org/article/8e82e2ca231f4ec2a79d2f070944480c
long_lat ENVELOPE(-62.983,-62.983,-64.300,-64.300)
ENVELOPE(41.909,41.909,64.134,64.134)
geographic Lambda
Pinega
geographic_facet Lambda
Pinega
genre Arkhangelsk
taiga
genre_facet Arkhangelsk
taiga
op_source Nature Conservation Research: Заповедная наука, Vol 1, Iss 1, Pp 11-22 (2016)
op_relation http://ncr-journal.bear-land.org/article/3
https://doaj.org/toc/2500-008X
2500-008X
https://doaj.org/article/8e82e2ca231f4ec2a79d2f070944480c
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