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Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine

Author

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  • Moisei Zakharov

    (Aix Marseille Univ, Université Côte d’Azur, Avignon Université, CNRS, ESPACE, UMR 7300, 84000 Avignon, France
    Department of Ecology and Geography, Institute of Natural Sciences, North-Eastern Federal University, 670007 Yakutsk, Russia)

  • Sébastien Gadal

    (Aix Marseille Univ, Université Côte d’Azur, Avignon Université, CNRS, ESPACE, UMR 7300, 84000 Avignon, France
    Department of Ecology and Geography, Institute of Natural Sciences, North-Eastern Federal University, 670007 Yakutsk, Russia)

  • Jūratė Kamičaitytė

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, 44249 Kaunas, Lithuania)

  • Mikhail Cherosov

    (Institute for Biological Problems of Cryolithozone, Siberian Branch, Russian Academy of Science, 677980 Yakutsk, Russia)

  • Elena Troeva

    (Institute for Biological Problems of Cryolithozone, Siberian Branch, Russian Academy of Science, 677980 Yakutsk, Russia)

Abstract

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 vegetation and relief, can be of key importance for environmental monitoring and the study of regional variability of climatic changes.

Suggested Citation

  • Moisei Zakharov & Sébastien Gadal & Jūratė Kamičaitytė & Mikhail Cherosov & Elena Troeva, 2022. "Distribution and Structure Analysis of Mountain Permafrost Landscape in Orulgan Ridge (Northeast Siberia) Using Google Earth Engine," Land, MDPI, vol. 11(8), pages 1-21, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1187-:d:875183
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    References listed on IDEAS

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    1. Yang Chen & David M. Romps & Jacob T. Seeley & Sander Veraverbeke & William J. Riley & Zelalem A. Mekonnen & James T. Randerson, 2021. "Future increases in Arctic lightning and fire risk for permafrost carbon," Nature Climate Change, Nature, vol. 11(5), pages 404-410, May.
    2. Simensen, Trond & Halvorsen, Rune & Erikstad, Lars, 2018. "Methods for landscape characterisation and mapping: A systematic review," Land Use Policy, Elsevier, vol. 75(C), pages 557-569.
    3. Angelstam, Per & Elbakidze, Marine & Axelsson, Robert & Khoroshev, Alexander & Pedroli, Bas & Tysiachniouk, Maria & Zabubenin, Evgeny, 2019. "Model forests in Russia as landscape approach: Demonstration projects or initiatives for learning towards sustainable forest management?," Forest Policy and Economics, Elsevier, vol. 101(C), pages 96-110.
    4. Evan Ross DeLancey & Jahan Kariyeva & Jason T Bried & Jennifer N Hird, 2019. "Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-23, June.
    5. Zhengrong Liu & Huanjun Liu & Chong Luo & Haoxuan Yang & Xiangtian Meng & Yongchol Ju & Dong Guo, 2020. "Rapid Extraction of Regional-scale Agricultural Disasters by the Standardized Monitoring Model Based on Google Earth Engine," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    6. Alyona A. Shestakova & Alexander N. Fedorov & Yaroslav I. Torgovkin & Pavel Y. Konstantinov & Nikolay F. Vasyliev & Svetlana V. Kalinicheva & Vera V. Samsonova & Tetsuya Hiyama & Yoshihiro Iijima & Ho, 2021. "Mapping the Main Characteristics of Permafrost on the Basis of a Permafrost-Landscape Map of Yakutia Using GIS," Land, MDPI, vol. 10(5), pages 1-18, April.
    7. Jean E. Holloway & Antoni G. Lewkowicz & Thomas A. Douglas & Xiaoying Li & Merritt R. Turetsky & Jennifer L. Baltzer & Huijun Jin, 2020. "Impact of wildfire on permafrost landscapes: A review of recent advances and future prospects," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 31(3), pages 371-382, July.
    8. Vasylii Lytkin, 2020. "Inventory and Distribution of Rock Glaciers in Northeastern Yakutia," Land, MDPI, vol. 9(10), pages 1-18, October.
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