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A Pixel-Based Vegetation Greenness Trend Analysis over the Russian Tundra with All Available Landsat Data from 1984 to 2018

Caixia Liu, Huabing Huang, Fangdi Sun
2021 Remote Sensing  
Here, we analyzed the fine spatial resolution dataset Landsat archive from 1984 to 2018 over the entire Russian tundra and produced pixel-by-pixel greenness trend maps with the support of Google Earth  ...  The Western and Eastern European Tundras (WET and EET) had denser observations than other regions, which enabled a trend analysis during the whole study period from 1984 to 2018; (2) the most significant  ...  Pastick from USGS offered valuable suggestions on the trend analysis with the TSR model in GEE.  ... 
doi:10.3390/rs13234933 fatcat:llikvnignvektde2bisrx76ryy

35 Years of Vegetation and Lake Dynamics in the Pechora Catchment, Russian European Arctic

Marinela-Adriana Cheţan, Andrei Dornik, Florina Ardelean, Goran Georgievski, Stefan Hagemann, Vladimir E. Romanovsky, Alexandru Onaca, Dmitry S. Drozdov
2020 Remote Sensing  
The general consistency between the indices of vegetation greenness and moisture based on satellite imagery and the climate data highlights the efficacy and reliability of combining Landsat satellite data  ...  While vegetation greenness follows the evolution of summer air temperature with a delay of one year, the vegetation moisture dynamics seems to better concur with annual total precipitation rather than  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs12111863 fatcat:sau2oizt2rgu5iq773d75emqri

Satellite observations document trends consistent with a boreal forest biome shift

Logan T. Berner, Scott J. Goetz
2022 Global Change Biology  
Specifically, we quantified interannual trends in annual maximum vegetation greenness using an ensemble of vegetation indices derived from Landsat observations at 100,000 sample sites in areas without  ...  The boreal forest biome is a major component of Earth's biosphere and climate system that is projected to shift northward due to continued climate change over the coming century.  ...  et al. (2018) Alaskan Large Fires 1984-2019 --- Kasischke et al. (2002) Canadian Landsat Disturbance 1984-2015 30 Guindon et al. (2017) Russian Young Forests 1985-2012 500 Loboda and Chen (2016) to  ... 
doi:10.1111/gcb.16121 pmid:35199413 pmcid:PMC9303657 fatcat:ax4ammn6vrfd5jcby5n4gzjgwa

Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra

Rúna Í. Magnússon, Juul Limpens, David Kleijn, Ko van Huissteden, Trofim C. Maximov, Sylvain Lobry, Monique M.P.D. Heijmans
2021 Science of the Total Environment  
Mechanistic understanding of greening and browning trends is necessary to accurately assess the response of Arctic vegetation to a changing climate.  ...  The overall shift towards open water and wetland vegetation suggests a wetting trend, likely associated with permafrost degradation.  ...  First, we derived trends in vegetation greenness as measured by the Enhanced Vegetation Index (EVI) from the MODIS record and trends in surface water area from the Landsat-based Global Surface Water Map  ... 
doi:10.1016/j.scitotenv.2021.146877 fatcat:wxmowugv7jcatoz2txa27lq4ta

The Use of Satellite Images for Assessment of Environmental Vulnerability & Resilience of the Arctic Wetlands

Polina Lemenkova
2018 Figshare  
The recent changes in global climate and overall warming highly contribute to the degradation of the tundra environment and increases cryogenic slope processes.  ...  This paper focuses on the investigation of the ecological aspects of the global climate change in Yamal peninsula, and analysis the development of slope processes on the local tundra environment.  ...  Remote sensing data (Landsat TM satellite images) can be visualized using GIS and spatial analysis can be performed using available tools.  ... 
doi:10.6084/m9.figshare.7210385 fatcat:7nkwijavbzf67fecoypyp3f7kq

Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook

Alison Beamish, Martha K. Raynolds, Howard Epstein, Gerald V. Frost, Matthew J. Macander, Helena Bergstedt, Annett Bartsch, Stefan Kruse, Victoria Miles, Cemal Melih Tanis, Birgit Heim, Matthias Fuchs (+4 others)
2020 Remote Sensing of Environment  
A B S T R A C T A systematic review and inventory of recent research relating to optical remote sensing of Arctic vegetation was conducted, and thematic and geographical trends were summarized.  ...  These efforts are necessary to generate high quality, temporally dense datasets for identifying trends in Arctic tundra vegetation.  ...  Acknowledgements The authors would like to thank all participants of the 15th annual International Circumpolar Remote Sensing Symposium Arctic Vegetation Workshop for their valuable contributions, which  ... 
doi:10.1016/j.rse.2020.111872 fatcat:gpprd3is7ff33fhtuh4go7nu44

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

Moisei Zakharov, Sébastien Gadal, Jūratė Kamičaitytė, Mikhail Cherosov, Elena Troeva
2022 Land  
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.  ...  Analysis of the landscape structure revealed a significant distribution of classes of mountain Larix-sparse forests and tundra.  ...  Acknowledgments: We thank the U.S. Geological Survey, European Space Agency, and Google Earth Engine for providing free access to data and analytical tools.  ... 
doi:10.3390/land11081187 fatcat:53vfeb4abjdb3iagd4mmkzdrje

Historical background and current developments for mapping burned area from satellite Earth observation

Emilio Chuvieco, Florent Mouillot, Guido R. van der Werf, Jesús San Miguel, Mihai Tanasse, Nikos Koutsias, Mariano García, Marta Yebra, Marc Padilla, Ioannis Gitas, Angelika Heil, Todd J. Hawbaker (+1 others)
2019 Remote Sensing of Environment  
This review paper explores the physical basis to detect burned area from satellite observations, describes the historical trends of using satellite sensors to monitor burned areas, summarizes the most  ...  With the launch of the first Earth observation satellites, remote sensing quickly became a more practical alternative to detect burned areas, as they provide timely regional and global coverage of fire  ...  Using all available Landsat data for Queensland, Australia, Goodwin and Collett (2014) combined decision rules with a region-growing algorithm to identify areas of change and then classified which of  ... 
doi:10.1016/j.rse.2019.02.013 fatcat:eywm3ix63ngvdczdtdci46etwu

Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products

Dong Chen, Varada Shevade, Allison E. Baer, Tatiana V. Loboda
2021 Remote Sensing  
Global estimates of burned areas, enabled by the wide-open access to the standard data products from the Moderate Resolution Imaging Spectroradiometer (MODIS), are heavily relied on by scientists and managers  ...  Our intercomparison of MCD64A1 and FireCCI51 with a regionally adapted MODIS-based Arctic Boreal Burned Area (ABBA) shows that the latter outperforms both MCD64A1 and FireCCI51 by a large margin, particularly  ...  Acknowledgments: We would like to thank Louis Giglio and Joanne Hall from the University of Maryland, College Park for their discussion about this paper.  ... 
doi:10.3390/rs13204145 fatcat:qyqazyprifb75e5zhf7zunhndq

Vegetation on mesic loamy and sandy soils along a 1700-km maritime Eurasia Arctic Transect

Donald A. Walker, Howard E. Epstein, Jozef Šibík, Uma Bhatt, Vladimir E. Romanovsky, Amy L. Breen, Silvia Chasnikova, Ronald Daanen, Lisa A. Druckenmiller, Ksenia Ermokhina, Bruce C. Forbes, Gerald V. Frost (+12 others)
2018 Applied Vegetation Science  
The study provides ground-based vegetation data for satellite-based interpretations of the western maritime Eurasian Arctic, and the first vegetation data from Hayes Island, Franz Josef Land, which is  ...  Cluster analysis revealed seven groups with clear relationships to subzone and soil texture.  ...  To obtain consistent summer temperature data for all study locations over the same length of record, we used data from the thermal infrared channels of satellite-based Advanced Very High Resolution Radiometers  ... 
doi:10.1111/avsc.12401 pmid:31130818 pmcid:PMC6519894 fatcat:ua22zzovfneqrian4wtwre4nyi

Feasibility Study for the Application of Synthetic Aperture Radar for Coastal Erosion Rate Quantification Across the Arctic

Annett Bartsch, Sarah Ley, Ingmar Nitze, Georg Pointner, Gonçalo Vieira
2020 Frontiers in Environmental Science  
The utilization of trends derived from Landsat is also promising for efficient long-term trend retrieval.  ...  Derived retreat rates agree with rates available from other data sources, but the applicability for automatic retrieval is partially limited.  ...  I-NB), the FFG FemTech projects CoastSAR (874213) and CoastAIMap (880182).  ... 
doi:10.3389/fenvs.2020.00143 fatcat:ysyfskqcc5ai7igv4osozngdoe

Tracking long-term floodplain wetland changes: A case study in the China side of the Amur River Basin

Mingming Jia, Dehua Mao, Zongming Wang, Chunying Ren, Qiande Zhu, Xuechun Li, Yuanzhi Zhang
2020 International Journal of Applied Earth Observation and Geoinformation  
A R T I C L E I N F O Keywords: Floodplain wetlands Object-based image analysis Random forest Amur River basin Google earth engine A B S T R A C T Floodplain wetlands in the China side of the Amur River  ...  Based on the COHRF classification approach, 4622 Landsat images were applied to produce a 30-m resolution dataset characterizing dynamics and conversions of floodplain wetlands in the CARB during 1990-  ...  Acknowledgments This study was jointly supported by the National Key R&D Program  ... 
doi:10.1016/j.jag.2020.102185 fatcat:ax255sso45guln5tmoxijrpc2e

Arctic Greening Caused by Warming Contributes to Compositional Changes of Mycobiota at the Polar Urals

Shiryaev, Moiseev, Peintner, Devi, Kukarskih, Elsakov
2019 Forests  
Fungal community composition followed changes of the vegetation, which was transforming from forest-tundra to northern boreal type forests during the last 60 years.  ...  The anthropogenic impact is minimal in the study area. Effects of environmental warming were addressed as changes in treeline and forest communities (greening of the vegetation).  ...  We are thankful to Stanislav Obolevski (Omsk) for allowing us to publish his data on rate of litter decomposition and soil thaw depth.  ... 
doi:10.3390/f10121112 fatcat:pw6rowewr5g4bjjtfuyxscxn7e

Trends in Satellite Earth Observation for Permafrost Related Analyses—A Review

Marius Philipp, Andreas Dietz, Sebastian Buchelt, Claudia Kuenzer
2021 Remote Sensing  
By filtering after a selection of relevant keywords, a total of 325 articles from 30 international journals published during the last two decades were analyzed based on study location, spatio-temporal  ...  The potential turnover of frozen ground from a carbon sink to a carbon source, eroding coastlines, landslides, amplified surface deformation and endangerment of human infrastructure are some of the consequences  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs13061217 fatcat:upt6tyghrza6lgbdfmnezfm57m

Terrestrial CDOM in Lakes of Yamal Peninsula: Connection to Lake and Lake Catchment Properties

Yury Dvornikov, Marina Leibman, Birgit Heim, Annett Bartsch, Ulrike Herzschuh, Tatiana Skorospekhova, Irina Fedorova, Artem Khomutov, Barbara Widhalm, Anatoly Gubarkov, Sebastian Rößler
2018 Remote Sensing  
This a(λ) CDOM dataset was used to relate lake CDOM to 17 lake and lake catchment parameters derived from optical and radar remote sensing data and from digital elevation model analysis in order to establish  ...  Values of a(440) CDOM in 356 lakes varied from 0.48 to 8.35 m −1 with a median of 1.43 m −1 .  ...  ; S.R. developed automatic CDOM data processing and consulted the data analysis; M.L. was a supervisor of the study and field work and contributed significantly to the manuscript preparation and editing  ... 
doi:10.3390/rs10020167 fatcat:evzbjqtopve3xndter4yrsgznq
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