Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine
International audience An analysis of the landscape spatial structure and diversity in the mountain ranges of Northeast Siberia is essential to assess how tundra and boreal landscapes may respond to climate change and anthropogenic impacts in the vast mountainous permafrost of the Arctic regions. In...
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Online Access: | https://hal.science/hal-03751368 https://hal.science/hal-03751368/document https://hal.science/hal-03751368/file/land-11-01187-v2.pdf https://doi.org/10.3390/land11081187 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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ftccsdartic |
language |
English |
topic |
Google Earth Engine Support Vector Machine Time-series image classification Terrain analysis Landscape structure Landscape mapping Northeast Siberia Arctic Permafrost landscape Permafrost Mountains [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SHS.GEO]Humanities and Social Sciences/Geography [SDE.ES]Environmental Sciences/Environmental and Society [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] |
spellingShingle |
Google Earth Engine Support Vector Machine Time-series image classification Terrain analysis Landscape structure Landscape mapping Northeast Siberia Arctic Permafrost landscape Permafrost Mountains [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SHS.GEO]Humanities and Social Sciences/Geography [SDE.ES]Environmental Sciences/Environmental and Society [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Zakharov, Moisei Gadal, Sébastien Kamičaitytė, Jūratė Cherosov, Mikhail Troeva, Elena Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
topic_facet |
Google Earth Engine Support Vector Machine Time-series image classification Terrain analysis Landscape structure Landscape mapping Northeast Siberia Arctic Permafrost landscape Permafrost Mountains [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SHS.GEO]Humanities and Social Sciences/Geography [SDE.ES]Environmental Sciences/Environmental and Society [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] |
description |
International audience An analysis of the landscape spatial structure and diversity in the mountain ranges of Northeast Siberia is essential to assess how tundra and boreal landscapes may respond to climate change and anthropogenic impacts in the vast mountainous permafrost of the Arctic regions. In addition, a precise landscape map is required for knowledge-based territorial planning and management. In this article, we aimed to explore and enhanced methods to analyse and map the permafrost landscape in Orulgan Ridge. The Google Earth Engine cloud platform was used to generate vegetation cover maps based on multi-fusion classification of Sentinel 2 MSI and Landsat 8 OLI time series data. Phenological features based on the monthly median values of time series Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), and Normalized Difference Moisture Index (NDMI) were used to recognize geobotanical units according to the hierarchical concept of permafrost landscapes by the Support Vector Machine (SVM) classifier. In addition, geomorphological variables of megarelief (mountains and river valleys) were identified using the GIS-based terrain analysis and landform classification of the ASTER GDEM scenes mosaic. The resulting environmental variables made it possible to categorize nine classes of mountain permafrost landscapes. The result obtained was compared with previous permafrost landscape maps, which revealed a significant difference in distribution and spatial structure of intrazonal valleys and mountain tundra landscapes. Analysis of the landscape structure revealed a significant distribution of classes of mountain Larix-sparse forests and tundra. Landscape diversity was described by six longitudinal and latitudinal landscape hypsometric profiles. River valleys allow boreal–taiga landscapes to move up to high-mountainous regions. The features of the landscape structure and diversity of the ridge are noted, which, along with the specific spatial organization of ... |
author2 |
Aix Marseille Université (AMU) Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE) Université Nice Sophia Antipolis (1965 - 2019) (UNS) COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) North-Eastern Federal University Kaunas University of Technology (KTU) Institute of Biological Problems of Cryolithozone Siberian Branch of the Russian Academy of Sciences (SB RAS) FMSH-RBSF OSAMA (development Of an optimal human Security Model for The Arctic) CNES TOSCA TRISHNA (Cryosphere) ANR-15-CE22-0006,PUR,Pôles URbains(2015) |
format |
Article in Journal/Newspaper |
author |
Zakharov, Moisei Gadal, Sébastien Kamičaitytė, Jūratė Cherosov, Mikhail Troeva, Elena |
author_facet |
Zakharov, Moisei Gadal, Sébastien Kamičaitytė, Jūratė Cherosov, Mikhail Troeva, Elena |
author_sort |
Zakharov, Moisei |
title |
Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
title_short |
Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
title_full |
Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
title_fullStr |
Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
title_full_unstemmed |
Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine |
title_sort |
distribution and structure analysis of mountain permafrost landscape in orulgan ridge (northeast siberia) using google earth engine |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03751368 https://hal.science/hal-03751368/document https://hal.science/hal-03751368/file/land-11-01187-v2.pdf https://doi.org/10.3390/land11081187 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change permafrost taiga Tundra Siberia |
genre_facet |
Arctic Climate change permafrost taiga Tundra Siberia |
op_source |
ISSN: 2073-445X Land https://hal.science/hal-03751368 Land, 2022, 11 (8), ⟨10.3390/land11081187⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/land11081187 hal-03751368 https://hal.science/hal-03751368 https://hal.science/hal-03751368/document https://hal.science/hal-03751368/file/land-11-01187-v2.pdf doi:10.3390/land11081187 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/land11081187 |
container_title |
Land |
container_volume |
11 |
container_issue |
8 |
container_start_page |
1187 |
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spelling |
ftccsdartic:oai:HAL:hal-03751368v1 2023-05-15T15:03:39+02:00 Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine Zakharov, Moisei Gadal, Sébastien Kamičaitytė, Jūratė Cherosov, Mikhail Troeva, Elena Aix Marseille Université (AMU) Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE) Université Nice Sophia Antipolis (1965 - 2019) (UNS) COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA) North-Eastern Federal University Kaunas University of Technology (KTU) Institute of Biological Problems of Cryolithozone Siberian Branch of the Russian Academy of Sciences (SB RAS) FMSH-RBSF OSAMA (development Of an optimal human Security Model for The Arctic) CNES TOSCA TRISHNA (Cryosphere) ANR-15-CE22-0006,PUR,Pôles URbains(2015) 2022-07-29 https://hal.science/hal-03751368 https://hal.science/hal-03751368/document https://hal.science/hal-03751368/file/land-11-01187-v2.pdf https://doi.org/10.3390/land11081187 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/land11081187 hal-03751368 https://hal.science/hal-03751368 https://hal.science/hal-03751368/document https://hal.science/hal-03751368/file/land-11-01187-v2.pdf doi:10.3390/land11081187 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2073-445X Land https://hal.science/hal-03751368 Land, 2022, 11 (8), ⟨10.3390/land11081187⟩ Google Earth Engine Support Vector Machine Time-series image classification Terrain analysis Landscape structure Landscape mapping Northeast Siberia Arctic Permafrost landscape Permafrost Mountains [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SHS.GEO]Humanities and Social Sciences/Geography [SDE.ES]Environmental Sciences/Environmental and Society [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.3390/land11081187 2023-02-12T13:04:24Z International audience An analysis of the landscape spatial structure and diversity in the mountain ranges of Northeast Siberia is essential to assess how tundra and boreal landscapes may respond to climate change and anthropogenic impacts in the vast mountainous permafrost of the Arctic regions. In addition, a precise landscape map is required for knowledge-based territorial planning and management. In this article, we aimed to explore and enhanced methods to analyse and map the permafrost landscape in Orulgan Ridge. The Google Earth Engine cloud platform was used to generate vegetation cover maps based on multi-fusion classification of Sentinel 2 MSI and Landsat 8 OLI time series data. Phenological features based on the monthly median values of time series Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), and Normalized Difference Moisture Index (NDMI) were used to recognize geobotanical units according to the hierarchical concept of permafrost landscapes by the Support Vector Machine (SVM) classifier. In addition, geomorphological variables of megarelief (mountains and river valleys) were identified using the GIS-based terrain analysis and landform classification of the ASTER GDEM scenes mosaic. The resulting environmental variables made it possible to categorize nine classes of mountain permafrost landscapes. The result obtained was compared with previous permafrost landscape maps, which revealed a significant difference in distribution and spatial structure of intrazonal valleys and mountain tundra landscapes. Analysis of the landscape structure revealed a significant distribution of classes of mountain Larix-sparse forests and tundra. Landscape diversity was described by six longitudinal and latitudinal landscape hypsometric profiles. River valleys allow boreal–taiga landscapes to move up to high-mountainous regions. The features of the landscape structure and diversity of the ridge are noted, which, along with the specific spatial organization of ... Article in Journal/Newspaper Arctic Climate change permafrost taiga Tundra Siberia Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Land 11 8 1187 |