Disturbance Mapping in Arctic Tundra Improved by a Planning Workflow for Drone Studies: Advancing Tools for Future Ecosystem Monitoring

Decades of Recovery From Sheep Grazing Reveal No Effects on Plant Diversity Patterns Within Icelandic Tundra Landscapes

(2021) Martin A. Mörsdorf et al.   Frontiers in Ecology and Evolution

Multiscale mapping of plant functional groups and plant traits in the High Arctic using field spectroscopy, UAV imagery and Sentinel-2A data

(2021) Eleanor R Thomson et al.   Environmental Research Letters

Impact of biological crusts on soil formation in polar ecosystems

(2021) Alberto Agnelli et al.   GEODERMA

High Arctic ecosystem states: Conceptual models of vegetation change to guide long-term monitoring and research

(2020) Virve Ravolainen et al.   AMBIO

Arctic terrestrial biodiversity status and trends: A synopsis of science supporting the CBMP State of Arctic Terrestrial Biodiversity Report

(2020) Jason J. Taylor et al.   AMBIO

Integrating drone imagery with existing rangeland monitoring programs

(2020) Jeffrey K. Gillan et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Current Practices in UAS-based Environmental Monitoring

(2020) Goran Tmušić et al.   Remote Sensing

Scale-dependency of Arctic ecosystem properties revealed by UAV

(2020) Matthias Benjamin Siewert et al.   Environmental Research Letters

UAV‐based imaging platform for monitoring maize growth throughout development

(2020) Sara B. Tirado et al.   Plant Direct

Multi-temporal UAV based repeat monitoring of rivers sensitive to flood

(2020) Orkan Özcan et al.   Journal of Maps

Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions

(2020) Pekka Niittynen et al.   Nature Climate Change

Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites

(2020) Jakob J Assmann et al.   Environmental Research Letters

Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery

(2020) Bryn E. Morgan et al.   Remote Sensing

Permafrost is warming at a global scale

(2019) Boris K. Biskaborn et al.   Nature Communications

Key indicators of Arctic climate change: 1971–2017

(2019) Jason E Box et al.   Environmental Research Letters

Monitoring recent changes of vegetation in Fildes Peninsula (King George Island, Antarctica) through satellite imagery guided by UAV surveys

(2019) Vasco Miranda et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A two-step approach for the correction of rolling shutter distortion in UAV photogrammetry

(2019) Yilin Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Land-cover classification with high-resolution remote sensing images using transferable deep models

(2019) Xin-Yi Tong et al.   REMOTE SENSING OF ENVIRONMENT

Multitemporal UAV surveys for landslide mapping and characterization

(2018) Guglielmo Rossi et al.   Landslides

Evaluation of the use of very high resolution aerial imagery for accurate ice-wedge polygon mapping (Adventdalen, Svalbard)

(2018) Maura Lousada et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

(2018) Helge Aasen et al.   Remote Sensing

Structural glaciology of Isunguata Sermia, West Greenland

(2018) Christine Jones et al.   Journal of Maps

Short-lived ice speed-up and plume water flow captured by a VTOL UAV give insights into subglacial hydrological system of Bowdoin Glacier

(2018) Guillaume Jouvet et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

(2018) Mathias Wessel et al.   Remote Sensing

Spatiotemporal patterns of rain-on-snow and basal ice in high Arctic Svalbard: detection of a climate-cryosphere regime shift

(2018) Bart Peeters et al.   Environmental Research Letters

A phenology-based approach to the classification of Arctic tundra ecosystems in Greenland

(2018) Mojtaba Karami et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging

(2018) Jurjen van der Sluijs et al.   Remote Sensing

Joint Deep Learning for land cover and land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Supervised heterogeneous feature transfer via random forests

(2018) Sanatan Sukhija et al.   ARTIFICIAL INTELLIGENCE

Rise and fall of a small ice-dammed lake - Role of deglaciation processes and morphology

(2017) Slavomír Nehyba et al.   GEOMORPHOLOGY

Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

(2017) Noam Segev et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis

(2017) Bahareh Kalantar et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Understanding the drivers of extensive plant damage in boreal and Arctic ecosystems: Insights from field surveys in the aftermath of damage

(2017) Jarle W. Bjerke et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of Low-Cost UASs and Digital Photogrammetry for High-Resolution Snow Depth Mapping in the Arctic

(2017) Emiliano Cimoli et al.   Remote Sensing

Assessing the Value of UAV Photogrammetry for Characterizing Terrain in Complex Peatlands

(2017) et al.   Remote Sensing

Spatiotemporal Characteristics of Seasonal Snow Cover in Northeast Greenland from in Situ Observations

(2016) Stine Højlund Pedersen et al.   ARCTIC ANTARCTIC AND ALPINE RESEARCH

UAVs for coastal surveying

(2016) Ian L. Turner et al.   COASTAL ENGINEERING

Ice-cored moraine degradation mapped and quantified using an unmanned aerial vehicle: A case study from a polythermal glacier in Svalbard

(2016) T.N. Tonkin et al.   GEOMORPHOLOGY

Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau

(2016) Jianjun Chen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Glacial geomorphology of the terrestrial margins of the tidewater glacier, Nordenskiöldbreen, Svalbard

(2016) Marek W. Ewertowski et al.   Journal of Maps

Predicting Palustrine Wetland Probability Using Random Forest Machine Learning and Digital Elevation Data-Derived Terrain Variables

(2016) Aaron E. Maxwell et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Experimental icing affects growth, mortality, and flowering in a high Arctic dwarf shrub

(2016) Jos M. Milner et al.   Ecology and Evolution

Transitions in Arctic ecosystems: Ecological implications of a changing hydrological regime

(2016) Frederick J. Wrona et al.   Journal of Geophysical Research-Biogeosciences

Spatial application of Random Forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data

(2015) Anders Juel et al.   International Journal of Applied Earth Observation and Geoinformation

Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

(2015) Martin Weinmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Ecological classification and mapping for landscape management and science

(2015) Carola Cullum et al.   PROGRESS IN PHYSICAL GEOGRAPHY

An Evaluation of Different Training Sample Allocation Schemes for Discrete and Continuous Land Cover Classification Using Decision Tree-Based Algorithms

(2015) René Colditz   Remote Sensing

Soil moisture and temperature variation under different types of tundra vegetation during the growing season: A case study from the Fuglebekken catchment, SW Spitsbergen

(2014) Krzysztof Migała et al.   CATENA

High-arctic plants like it hot: a long-term investigation of between-year variability in plant biomass

(2014) René van der Wal et al.   ECOLOGY

A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping

(2014) Joseph Mascaro et al.   PLoS One

Land-cover mapping in the Nujiang Grand Canyon: integrating spectral, textural, and topographic data in a random forest classifier

(2013) Hui Fan   INTERNATIONAL JOURNAL OF REMOTE SENSING

Prevalence of pink-footed goose grubbing in the arctic tundra increases with population expansion

(2013) Åshild Ø. Pedersen et al.   POLAR BIOLOGY

Climate Events Synchronize the Dynamics of a Resident Vertebrate Community in the High Arctic

(2013) B. B. Hansen et al.   SCIENCE

A new variable selection approach using Random Forests

(2012) A. Hapfelmeier et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Anticipating Critical Transitions

(2012) M. Scheffer et al.   SCIENCE

Vegetation mapping of Svalbard utilising Landsat TM/ETM+ data

(2011) Bernt E. Johansen et al.   POLAR RECORD

Circumpolar Arctic Tundra Vegetation Change Is Linked to Sea Ice Decline

(2010) Uma S. Bhatt et al.   Earth Interactions

Plant community properties predict vegetation resilience to herbivore disturbance in the Arctic

(2010) James D. M. Speed et al.   JOURNAL OF ECOLOGY

Predicting Habitat Utilization and Extent of Ecosystem Disturbance by an Increasing Herbivore Population

(2009) James D. M. Speed et al.   ECOSYSTEMS

Extrapolating herbivore-induced carbon loss across an arctic landscape

(2009) James D. M. Speed et al.   POLAR BIOLOGY

Adaptive monitoring: a new paradigm for long-term research and monitoring

(2009) David B. Lindenmayer et al.   TRENDS IN ECOLOGY & EVOLUTION

Soil Thermal and Ecological Impacts of Rain on Snow Events in the Circumpolar Arctic

(2008) Kevin J. Rennert et al.   JOURNAL OF CLIMATE

Relationship between satellite-derived land surface temperatures, arctic vegetation types, and NDVI

(2007) M RAYNOLDS et al.   REMOTE SENSING OF ENVIRONMENT