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Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data

Environmental research letters, 2016-08, Vol.11 (8), p.84001-84011

2016

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China and India lead in greening of the world through land-use management

Nature sustainability, 2019-02, Vol.2 (2), p.122-129

2019

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Extreme event impacts on CO2 fluxes across a range of high latitude, shrub-dominated ecosystems

Environmental research letters, 2020-10, Vol.15 (10), p.104084

2020

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Ecosystem change and stability over multiple decades in the Swedish subarctic: complex processes and multiple drivers

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2013-08, Vol.368 (1624), p.20120488

2013

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Using moss and lichens in biomonitoring of heavy-metal contamination of forest areas in southern and north-eastern Poland

The Science of the total environment, 2018-06, Vol.627, p.438-449

2018

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Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1289

2017

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Multi-Sensor Analysis of Snow Seasonality and a Preliminary Assessment of SAR Backscatter Sensitivity to Arctic Vegetation: Limits and Capabilities

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (8), p.1866

2022

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The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)

Data in brief, 2023-10, Vol.50, p.109581-109581, Article 109581

2023

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Vulnerability and resilience of the carbon exchange of a subarctic peatland to an extreme winter event

Environmental research letters, 2018-06, Vol.13 (6), p.65009

2018

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Low spatial habitat overlap of herbivores in the High Arctic tundra

Global ecology and conservation, 2024-01, Vol.49, p.e02797, Article e02797

2024

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Changes in Winter Warming Events in the Nordic Arctic Region

Journal of climate, 2016-09, Vol.29 (17), p.6223-6244

2016

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Focus on recent, present and future Arctic and boreal productivity and biomass changes

Environmental research letters, 2020-08, Vol.15 (8), p.80201

2020

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Impact of Multiple Ecological Stressors on a Sub-Arctic Ecosystem: No Interaction Between Extreme Winter Warming Events, Nitrogen Addition and Grazing

Frontiers in plant science, 2018, Vol.9, p.1787

2018

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Arctic browning: Impacts of extreme climatic events on heathland ecosystem CO2 fluxes

Global change biology, 2019-02, Vol.25 (2), p.489-503

2019

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Changes in greening in the high Arctic: insights from a 30 year AVHRR max NDVI dataset for Svalbard

Environmental research letters, 2016-10, Vol.11 (10), p.105004

2016

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Monitoring Winter Stress Vulnerability of High-Latitude Understory Vegetation Using Intraspecific Trait Variability and Remote Sensing Approaches

Sensors (Basel, Switzerland), 2020-04, Vol.20 (7), p.2102

2020

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Variability of the start of the growing season in Fennoscandia, 1982-2002

International journal of biometeorology, 2007-08, Vol.51 (6), p.513-524

2007

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Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (15), p.3031

2021

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Winter warming events damage sub-Arctic vegetation: consistent evidence from an experimental manipulation and a natural event

The Journal of ecology, 2009-11, Vol.97 (6), p.1408-1415

2009

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Changes in Onset of Vegetation Growth on Svalbard, 2000-2020

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6346-6346

2022

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From greening to browning: Catchment vegetation development and reduced S-deposition promote organic carbon load on decadal time scales in Nordic lakes

Scientific reports, 2016-08, Vol.6 (1), p.31944-31944, Article 31944

2016

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Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning

Remote sensing of environment, 2020-06, Vol.243, p.111749, Article 111749

2020

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Estimating lichen volume and reindeer winter pasture quality from Landsat imagery

Remote sensing of environment, 2014-01, Vol.140, p.573-579

2014

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Correction: Anderson, H.B. et al. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation. Remote Sens. 2016, 8, 847

Remote sensing (Basel, Switzerland), 2017-01, Vol.9 (10), p.1003

2017

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Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data

China and India lead in greening of the world through land-use management

Extreme event impacts on CO2 fluxes across a range of high latitude, shrub-dominated ecosystems

Ecosystem change and stability over multiple decades in the Swedish subarctic: complex processes and multiple drivers

Using moss and lichens in biomonitoring of heavy-metal contamination of forest areas in southern and north-eastern Poland

Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

Multi-Sensor Analysis of Snow Seasonality and a Preliminary Assessment of SAR Backscatter Sensitivity to Arctic Vegetation: Limits and Capabilities

The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)

Vulnerability and resilience of the carbon exchange of a subarctic peatland to an extreme winter event

Low spatial habitat overlap of herbivores in the High Arctic tundra

Changes in Winter Warming Events in the Nordic Arctic Region

SIOS’s Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19

Focus on recent, present and future Arctic and boreal productivity and biomass changes

Impact of Multiple Ecological Stressors on a Sub-Arctic Ecosystem: No Interaction Between Extreme Winter Warming Events, Nitrogen Addition and Grazing

Arctic browning: Impacts of extreme climatic events on heathland ecosystem CO2 fluxes

Changes in greening in the high Arctic: insights from a 30 year AVHRR max NDVI dataset for Svalbard

Monitoring Winter Stress Vulnerability of High-Latitude Understory Vegetation Using Intraspecific Trait Variability and Remote Sensing Approaches

Variability of the start of the growing season in Fennoscandia, 1982-2002

Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard

Winter warming events damage sub-Arctic vegetation: consistent evidence from an experimental manipulation and a natural event

Changes in Onset of Vegetation Growth on Svalbard, 2000-2020

From greening to browning: Catchment vegetation development and reduced S-deposition promote organic carbon load on decadal time scales in Nordic lakes

Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning

Estimating lichen volume and reindeer winter pasture quality from Landsat imagery

Correction: Anderson, H.B. et al. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation. Remote Sens. 2016, 8, 847

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